{"pageNumber":"18","pageRowStart":"425","pageSize":"25","recordCount":676,"records":[{"id":70160348,"text":"70160348 - 2008 - The ecological future of the North American bison: Conceiving long-term, large-scale conservation of a species","interactions":[],"lastModifiedDate":"2016-02-22T11:42:37","indexId":"70160348","displayToPublicDate":"2015-07-06T08:45:00","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1321,"text":"Conservation Biology","active":true,"publicationSubtype":{"id":10}},"title":"The ecological future of the North American bison: Conceiving long-term, large-scale conservation of a species","docAbstract":"<p>Many wide-ranging mammal species have experienced significant declines over the last 200 years; restoring these species will require long-term, large-scale recovery efforts. We highlight 5 attributes of a recent range-wide vision-setting exercise for ecological recovery of the North American bison (Bison bison) that are broadly applicable to other species and restoration targets. The result of the exercise, the &ldquo;Vermejo Statement&rdquo; on bison restoration, is explicitly (1) large scale, (2) long term, (3) inclusive, (4) fulfilling of different values, and (5) ambitious. It reads, in part, &ldquo;Over the next century, the ecological recovery of the North American bison will occur when multiple large herds move freely across extensive landscapes within all major habitats of their historic range, interacting in ecologically significant ways with the fullest possible set of other native species, and inspiring, sustaining and connecting human cultures.&rdquo; We refined the vision into a scorecard that illustrates how individual bison herds can contribute to the vision. We also developed a set of maps and analyzed the current and potential future distributions of bison on the basis of expert assessment. Although more than 500,000 bison exist in North America today, we estimated they occupy &lt;1% of their historical range and in no place express the full range of ecological and social values of previous times. By formulating an inclusive, affirmative, and specific vision through consultation with a wide range of stakeholders, we hope to provide a foundation for conservation of bison, and other wide-ranging species, over the next 100 years.</p>","language":"English","publisher":"Society for Conservation Biology","doi":"10.1111/j.1523-1739.2008.00899.x","usgsCitation":"Sanderson, E., Redford, K., Weber, B., Aune, K., Baldes, D., Berger, J., Carter, D., Curtin, C., Derr, J., Dobrott, S., Fearn, E., Fleener, C., Forrest, S.C., Gerlach, C., Gates, C.C., Gross, J., Gogan, P., Grassel, S.M., Hilty, J.A., Jensen, M., Kunkel, K.E., Lammers, D., List, R., Minkowski, K., Olson, T., Pague, C., Robertson, P.B., and Stephenson, B., 2008, The ecological future of the North American bison: Conceiving long-term, large-scale conservation of a species: Conservation Biology, v. 22, no. 2, p. 252-266, https://doi.org/10.1111/j.1523-1739.2008.00899.x.","productDescription":"15 p.","startPage":"252","endPage":"266","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":312487,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"North America","volume":"22","issue":"2","noUsgsAuthors":false,"publicationDate":"2008-04-08","publicationStatus":"PW","scienceBaseUri":"5673eac9e4b0da412f4f826c","contributors":{"authors":[{"text":"Sanderson, E.W.","contributorId":6413,"corporation":false,"usgs":true,"family":"Sanderson","given":"E.W.","email":"","affiliations":[],"preferred":false,"id":582672,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Redford, Kent","contributorId":93428,"corporation":false,"usgs":false,"family":"Redford","given":"Kent","email":"","affiliations":[{"id":35703,"text":"Archipelago Consulting, Portland, ME, U.S.A.","active":true,"usgs":false}],"preferred":false,"id":582673,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Weber, Bill","contributorId":150685,"corporation":false,"usgs":false,"family":"Weber","given":"Bill","email":"","affiliations":[],"preferred":false,"id":582674,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Aune, K.","contributorId":64419,"corporation":false,"usgs":true,"family":"Aune","given":"K.","email":"","affiliations":[],"preferred":false,"id":582675,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Baldes, Dick","contributorId":150686,"corporation":false,"usgs":false,"family":"Baldes","given":"Dick","email":"","affiliations":[],"preferred":false,"id":582676,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Berger, J.","contributorId":103010,"corporation":false,"usgs":true,"family":"Berger","given":"J.","email":"","affiliations":[],"preferred":false,"id":582677,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Carter, Dave","contributorId":150687,"corporation":false,"usgs":false,"family":"Carter","given":"Dave","email":"","affiliations":[],"preferred":false,"id":582678,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Curtin, C.","contributorId":39601,"corporation":false,"usgs":true,"family":"Curtin","given":"C.","email":"","affiliations":[],"preferred":false,"id":582679,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Derr, James N.","contributorId":72248,"corporation":false,"usgs":true,"family":"Derr","given":"James N.","affiliations":[],"preferred":false,"id":582687,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Dobrott, S.J.","contributorId":90844,"corporation":false,"usgs":true,"family":"Dobrott","given":"S.J.","email":"","affiliations":[],"preferred":false,"id":582688,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Fearn, Eva","contributorId":150689,"corporation":false,"usgs":false,"family":"Fearn","given":"Eva","email":"","affiliations":[],"preferred":false,"id":582689,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Fleener, Craig","contributorId":150690,"corporation":false,"usgs":false,"family":"Fleener","given":"Craig","email":"","affiliations":[],"preferred":false,"id":582690,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Forrest, Steven C.","contributorId":11518,"corporation":false,"usgs":true,"family":"Forrest","given":"Steven","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":582691,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Gerlach, Craig","contributorId":150691,"corporation":false,"usgs":false,"family":"Gerlach","given":"Craig","email":"","affiliations":[],"preferred":false,"id":582692,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Gates, C. Cormack","contributorId":150647,"corporation":false,"usgs":false,"family":"Gates","given":"C.","email":"","middleInitial":"Cormack","affiliations":[],"preferred":false,"id":582693,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Gross, J.E.","contributorId":95845,"corporation":false,"usgs":true,"family":"Gross","given":"J.E.","affiliations":[],"preferred":false,"id":582694,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Gogan, P.","contributorId":107831,"corporation":false,"usgs":false,"family":"Gogan","given":"P.","affiliations":[],"preferred":false,"id":582695,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Grassel, Shaun M.","contributorId":150648,"corporation":false,"usgs":false,"family":"Grassel","given":"Shaun","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":582696,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Hilty, Jodi A.","contributorId":112149,"corporation":false,"usgs":true,"family":"Hilty","given":"Jodi","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":582697,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Jensen, Marv","contributorId":150695,"corporation":false,"usgs":false,"family":"Jensen","given":"Marv","email":"","affiliations":[],"preferred":false,"id":582698,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Kunkel, Kyran E.","contributorId":150649,"corporation":false,"usgs":false,"family":"Kunkel","given":"Kyran","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":582699,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Lammers, Duane","contributorId":150696,"corporation":false,"usgs":false,"family":"Lammers","given":"Duane","email":"","affiliations":[],"preferred":false,"id":582700,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"List, R.","contributorId":103612,"corporation":false,"usgs":true,"family":"List","given":"R.","email":"","affiliations":[],"preferred":false,"id":582701,"contributorType":{"id":1,"text":"Authors"},"rank":23},{"text":"Minkowski, Karen","contributorId":150697,"corporation":false,"usgs":false,"family":"Minkowski","given":"Karen","email":"","affiliations":[],"preferred":false,"id":582702,"contributorType":{"id":1,"text":"Authors"},"rank":24},{"text":"Olson, Tom","contributorId":150698,"corporation":false,"usgs":false,"family":"Olson","given":"Tom","email":"","affiliations":[],"preferred":false,"id":582703,"contributorType":{"id":1,"text":"Authors"},"rank":25},{"text":"Pague, Chris","contributorId":150245,"corporation":false,"usgs":false,"family":"Pague","given":"Chris","email":"","affiliations":[{"id":7041,"text":"The Nature Conservancy","active":true,"usgs":false}],"preferred":false,"id":582704,"contributorType":{"id":1,"text":"Authors"},"rank":26},{"text":"Robertson, Paul B.","contributorId":150699,"corporation":false,"usgs":false,"family":"Robertson","given":"Paul","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":582705,"contributorType":{"id":1,"text":"Authors"},"rank":27},{"text":"Stephenson, Bob","contributorId":150700,"corporation":false,"usgs":false,"family":"Stephenson","given":"Bob","email":"","affiliations":[],"preferred":false,"id":582706,"contributorType":{"id":1,"text":"Authors"},"rank":28}]}}
,{"id":70000367,"text":"70000367 - 2008 - Hydrated silicate minerals on Mars observed by the Mars Reconnaissance Orbiter CRISM instrument","interactions":[],"lastModifiedDate":"2018-08-19T22:18:26","indexId":"70000367","displayToPublicDate":"2010-09-28T23:09:22","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2840,"text":"Nature","active":true,"publicationSubtype":{"id":10}},"title":"Hydrated silicate minerals on Mars observed by the Mars Reconnaissance Orbiter CRISM instrument","docAbstract":"<p><span>Phyllosilicates, a class of hydrous mineral first definitively identified on Mars by the OMEGA (Observatoire pour la Mineralogie, L’Eau, les Glaces et l’Activitié) instrument</span><sup><a id=\"ref-link-abstract-1\" title=\"Bibring, J. P. et al. Mars surface diversity as revealed by the OMEGA/Mars Express observations. Science 307, 1576–1581 (2005)\" href=\"https://www.nature.com/articles/nature07097#ref1\" data-mce-href=\"https://www.nature.com/articles/nature07097#ref1\">1</a>,<a id=\"ref-link-abstract-2\" title=\"Poulet, F. et al. Phyllosilicates on Mars and implications for early martian climate. Nature 438, 623–627 (2005)\" href=\"https://www.nature.com/articles/nature07097#ref2\" data-mce-href=\"https://www.nature.com/articles/nature07097#ref2\">2</a></sup><span>, preserve a record of the interaction of water with rocks on Mars. Global mapping showed that phyllosilicates are widespread but are apparently restricted to ancient terrains and a relatively narrow range of mineralogy (Fe/Mg and Al smectite clays). This was interpreted to indicate that phyllosilicate formation occurred during the Noachian (the earliest geological era of Mars), and that the conditions necessary for phyllosilicate formation (moderate to high pH and high water activity</span><sup><a id=\"ref-link-abstract-3\" title=\"Velde, B., Righi, D., Meunier, A., Hillier, S. &amp; Inoue, A. in Origin and Mineralogy of Clays (ed. Velde, B.) 8–42 (Springer, Berlin, 1995)\" href=\"https://www.nature.com/articles/nature07097#ref3\" data-mce-href=\"https://www.nature.com/articles/nature07097#ref3\">3</a></sup><span>) were specific to surface environments during the earliest era of Mars’s history</span><sup><a id=\"ref-link-abstract-4\" title=\"Bibring, J. P. et al. Global mineralogical and aqueous Mars history derived from OMEGA/Mars Express data. Science 312, 400–404 (2006)\" href=\"https://www.nature.com/articles/nature07097#ref4\" data-mce-href=\"https://www.nature.com/articles/nature07097#ref4\">4</a></sup><span>. Here we report results from the Compact Reconnaissance Imaging Spectrometer for Mars (CRISM)</span><sup><a id=\"ref-link-abstract-5\" title=\"Bibring, J. P. et al. Global mineralogical and aqueous Mars history derived from OMEGA/Mars Express data. Science 312, 400–404 (2006)\" href=\"https://www.nature.com/articles/nature07097#ref4\" data-mce-href=\"https://www.nature.com/articles/nature07097#ref4\">4</a></sup><span><span>&nbsp;</span>of phyllosilicate-rich regions. We expand the diversity of phyllosilicate mineralogy with the identification of kaolinite, chlorite and illite or muscovite, and a new class of hydrated silicate (hydrated silica). We observe diverse Fe/Mg-OH phyllosilicates and find that smectites such as nontronite and saponite are the most common, but chlorites are also present in some locations. Stratigraphic relationships in the Nili Fossae region show olivine-rich materials overlying phyllosilicate-bearing units, indicating the cessation of aqueous alteration before emplacement of the olivine-bearing unit. Hundreds of detections of Fe/Mg phyllosilicate in rims, ejecta and central peaks of craters in the southern highland Noachian cratered terrain indicate excavation of altered crust from depth. We also find phyllosilicate in sedimentary deposits clearly laid by water. These results point to a rich diversity of Noachian environments conducive to habitability.</span></p>","language":"English","publisher":"Nature Publishing Group","doi":"10.1038/nature07097","usgsCitation":"Mustard, J., Murchie, S., Pelkey, S., Ehlmann, B., Milliken, R., Grant, J.A., Bibring, J., Poulet, F., Bishop, J., Dobrea, E., Roach, L., Seelos, F., Arvidson, R., Wiseman, S., Green, R., Hash, C., Humm, D., Malaret, E., McGovern, J., Seelos, K., Clancy, T., Clark, R., des Marais, D., Izenberg, N., Knudson, A., Langevin, Y., Martin, T., McGuire, P., Morris, R., Robinson, M., Roush, T., Smith, M., Swayze, G., Taylor, H., Titus, T., and Wolff, M., 2008, Hydrated silicate minerals on Mars observed by the Mars Reconnaissance Orbiter CRISM instrument: Nature, v. 454, no. 7202, p. 305-309, https://doi.org/10.1038/nature07097.","productDescription":"5 p.","startPage":"305","endPage":"309","costCenters":[],"links":[{"id":203645,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"454","issue":"7202","noUsgsAuthors":false,"publicationDate":"2008-07-01","publicationStatus":"PW","scienceBaseUri":"4f4e4a51e4b07f02db62a35e","contributors":{"authors":[{"text":"Mustard, J.F.","contributorId":91605,"corporation":false,"usgs":true,"family":"Mustard","given":"J.F.","email":"","affiliations":[],"preferred":false,"id":345561,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Murchie, S.L.","contributorId":7369,"corporation":false,"usgs":true,"family":"Murchie","given":"S.L.","email":"","affiliations":[],"preferred":false,"id":345531,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pelkey, S.M.","contributorId":8599,"corporation":false,"usgs":true,"family":"Pelkey","given":"S.M.","email":"","affiliations":[],"preferred":false,"id":345532,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ehlmann, B.L.","contributorId":107837,"corporation":false,"usgs":true,"family":"Ehlmann","given":"B.L.","email":"","affiliations":[],"preferred":false,"id":345566,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Milliken, R.E.","contributorId":98022,"corporation":false,"usgs":true,"family":"Milliken","given":"R.E.","email":"","affiliations":[],"preferred":false,"id":345564,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Grant, J. A.","contributorId":28334,"corporation":false,"usgs":true,"family":"Grant","given":"J.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":345536,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bibring, J.-P.","contributorId":86083,"corporation":false,"usgs":true,"family":"Bibring","given":"J.-P.","email":"","affiliations":[],"preferred":false,"id":345559,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Poulet, F.","contributorId":61551,"corporation":false,"usgs":true,"family":"Poulet","given":"F.","email":"","affiliations":[],"preferred":false,"id":345551,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Bishop, J.","contributorId":70905,"corporation":false,"usgs":true,"family":"Bishop","given":"J.","email":"","affiliations":[],"preferred":false,"id":345555,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Dobrea, E. N.","contributorId":23677,"corporation":false,"usgs":true,"family":"Dobrea","given":"E. N.","affiliations":[],"preferred":false,"id":345534,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Roach, L.","contributorId":62334,"corporation":false,"usgs":true,"family":"Roach","given":"L.","email":"","affiliations":[],"preferred":false,"id":345552,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Seelos, F.","contributorId":34635,"corporation":false,"usgs":true,"family":"Seelos","given":"F.","affiliations":[],"preferred":false,"id":345540,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Arvidson, R. E.","contributorId":46666,"corporation":false,"usgs":true,"family":"Arvidson","given":"R. E.","affiliations":[],"preferred":false,"id":345543,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Wiseman, S.","contributorId":40711,"corporation":false,"usgs":true,"family":"Wiseman","given":"S.","email":"","affiliations":[],"preferred":false,"id":345542,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Green, R.","contributorId":88858,"corporation":false,"usgs":true,"family":"Green","given":"R.","affiliations":[],"preferred":false,"id":345560,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Hash, C.","contributorId":59927,"corporation":false,"usgs":true,"family":"Hash","given":"C.","email":"","affiliations":[],"preferred":false,"id":345550,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Humm, D.","contributorId":28346,"corporation":false,"usgs":true,"family":"Humm","given":"D.","email":"","affiliations":[],"preferred":false,"id":345537,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Malaret, E.","contributorId":84487,"corporation":false,"usgs":true,"family":"Malaret","given":"E.","email":"","affiliations":[],"preferred":false,"id":345557,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"McGovern, J.A.","contributorId":59163,"corporation":false,"usgs":true,"family":"McGovern","given":"J.A.","email":"","affiliations":[],"preferred":false,"id":345549,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Seelos, K.","contributorId":96813,"corporation":false,"usgs":true,"family":"Seelos","given":"K.","email":"","affiliations":[],"preferred":false,"id":345563,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Clancy, T.","contributorId":33439,"corporation":false,"usgs":true,"family":"Clancy","given":"T.","email":"","affiliations":[],"preferred":false,"id":345539,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Clark, R.","contributorId":100780,"corporation":false,"usgs":true,"family":"Clark","given":"R.","affiliations":[],"preferred":false,"id":345565,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"des Marais, D.","contributorId":48293,"corporation":false,"usgs":true,"family":"des Marais","given":"D.","affiliations":[],"preferred":false,"id":345544,"contributorType":{"id":1,"text":"Authors"},"rank":23},{"text":"Izenberg, N.","contributorId":56777,"corporation":false,"usgs":true,"family":"Izenberg","given":"N.","affiliations":[],"preferred":false,"id":345547,"contributorType":{"id":1,"text":"Authors"},"rank":24},{"text":"Knudson, A.","contributorId":86082,"corporation":false,"usgs":true,"family":"Knudson","given":"A.","email":"","affiliations":[],"preferred":false,"id":345558,"contributorType":{"id":1,"text":"Authors"},"rank":25},{"text":"Langevin, Y.","contributorId":24900,"corporation":false,"usgs":true,"family":"Langevin","given":"Y.","email":"","affiliations":[],"preferred":false,"id":345535,"contributorType":{"id":1,"text":"Authors"},"rank":26},{"text":"Martin, T.","contributorId":58375,"corporation":false,"usgs":true,"family":"Martin","given":"T.","affiliations":[],"preferred":false,"id":345548,"contributorType":{"id":1,"text":"Authors"},"rank":27},{"text":"McGuire, P.","contributorId":65039,"corporation":false,"usgs":true,"family":"McGuire","given":"P.","email":"","affiliations":[],"preferred":false,"id":345553,"contributorType":{"id":1,"text":"Authors"},"rank":28},{"text":"Morris, Robert","contributorId":70723,"corporation":false,"usgs":true,"family":"Morris","given":"Robert","affiliations":[],"preferred":false,"id":345554,"contributorType":{"id":1,"text":"Authors"},"rank":29},{"text":"Robinson, M.","contributorId":50272,"corporation":false,"usgs":true,"family":"Robinson","given":"M.","affiliations":[],"preferred":false,"id":345545,"contributorType":{"id":1,"text":"Authors"},"rank":30},{"text":"Roush, T.","contributorId":76445,"corporation":false,"usgs":true,"family":"Roush","given":"T.","affiliations":[],"preferred":false,"id":345556,"contributorType":{"id":1,"text":"Authors"},"rank":31},{"text":"Smith, M.","contributorId":32658,"corporation":false,"usgs":false,"family":"Smith","given":"M.","affiliations":[],"preferred":false,"id":345538,"contributorType":{"id":1,"text":"Authors"},"rank":32},{"text":"Swayze, G. 0000-0002-1814-7823","orcid":"https://orcid.org/0000-0002-1814-7823","contributorId":55131,"corporation":false,"usgs":true,"family":"Swayze","given":"G.","affiliations":[],"preferred":false,"id":345546,"contributorType":{"id":1,"text":"Authors"},"rank":33},{"text":"Taylor, H.","contributorId":39920,"corporation":false,"usgs":false,"family":"Taylor","given":"H.","affiliations":[{"id":27814,"text":"Johns Hopkins University Applied Physics Lab.","active":true,"usgs":false}],"preferred":false,"id":345541,"contributorType":{"id":1,"text":"Authors"},"rank":34},{"text":"Titus, T.","contributorId":92787,"corporation":false,"usgs":true,"family":"Titus","given":"T.","email":"","affiliations":[],"preferred":false,"id":345562,"contributorType":{"id":1,"text":"Authors"},"rank":35},{"text":"Wolff, M.","contributorId":19683,"corporation":false,"usgs":true,"family":"Wolff","given":"M.","affiliations":[],"preferred":false,"id":345533,"contributorType":{"id":1,"text":"Authors"},"rank":36}]}}
,{"id":97431,"text":"ds398 - 2008 - EAARL coastal topography– Northeast barrier islands 2007: Bare earth","interactions":[],"lastModifiedDate":"2022-04-29T21:07:14.055866","indexId":"ds398","displayToPublicDate":"2009-04-11T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"398","title":"EAARL coastal topography– Northeast barrier islands 2007: Bare earth","docAbstract":"These remotely sensed, geographically referenced elevation measurements of Lidar-derived bare earth (BE) topography were produced collaboratively by the U.S. Geological Survey (USGS), Florida Integrated Science Center (FISC), St. Petersburg, FL, and the National Aeronautics and Space Administration (NASA), Wallops Flight Facility, VA.\r\n\r\nThis project provides highly detailed and accurate datasets of the northeast coastal barrier islands in New York and New Jersey, acquired April 29-30 and May 15-16, 2007. The datasets are made available for use as a management tool to research scientists and natural resource managers. An innovative airborne Lidar instrument originally developed at the NASA Wallops Flight Facility, and known as the Experimental Advanced Airborne Research Lidar (EAARL), was used during data acquisition. The EAARL system is a raster-scanning, waveform-resolving, green-wavelength (532-nanometer) Lidar designed to map near-shore bathymetry, topography, and vegetation structure simultaneously. The EAARL sensor suite includes the raster-scanning, water-penetrating full-waveform adaptive Lidar, a down-looking red-green-blue (RGB) digital camera, a high-resolution multi-spectral color infrared (CIR) camera, two precision dual-frequency kinematic carrier-phase GPS receivers and an integrated miniature digital inertial measurement unit, which provide for submeter georeferencing of each laser sample. The nominal EAARL platform is a twin-engine Cessna 310 aircraft, but the instrument may be deployed on a range of light aircraft. A single pilot, a Lidar operator, and a data analyst constitute the crew for most survey operations. This sensor has the potential to make significant contributions in measuring sub-aerial and submarine coastal topography within cross-environmental surveys. \r\n\r\nElevation measurements were collected over the survey area using the EAARL system, and the resulting data were then processed using the Airborne Lidar Processing System (ALPS), a custom-built processing system developed in a NASA-USGS collaboration. ALPS supports the exploration and processing of Lidar data in an interactive or batch mode. Modules for presurvey flight line definition, flight path plotting, Lidar raster and waveform investigation, and digital camera image playback have been developed. Processing algorithms have been developed to extract the range to the first and last significant return within each waveform. ALPS is routinely used to create maps that represent submerged or first surface topography. 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,{"id":97430,"text":"ds397 - 2008 - EAARL coastal topography–Northeast Barrier Islands 2007: First surface","interactions":[],"lastModifiedDate":"2023-06-15T12:13:34.672336","indexId":"ds397","displayToPublicDate":"2009-04-11T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"397","title":"EAARL coastal topography–Northeast Barrier Islands 2007: First surface","docAbstract":"<p>These remotely sensed, geographically referenced elevation measurements of Lidar-derived first surface (FS) topography were produced collaboratively by the U.S. Geological Survey (USGS), Florida Integrated Science Center (FISC), St. Petersburg, FL, and the National Aeronautics and Space Administration (NASA), Wallops Flight Facility, VA. This project provides highly detailed and accurate datasets of the northeast coastal barrier islands in New York and New Jersey, acquired April 29-30 and May 15-16, 2007. The datasets are made available for use as a management tool to research scientists and natural resource managers. An innovative airborne Lidar instrument originally developed at the NASA Wallops Flight Facility, and known as the Experimental Advanced Airborne Research Lidar (EAARL), was used during data acquisition. The EAARL system is a raster-scanning, waveform-resolving, green-wavelength (532-nanometer) Lidar designed to map near-shore bathymetry, topography, and vegetation structure simultaneously. The EAARL sensor suite includes the raster-scanning, water-penetrating full-waveform adaptive Lidar, a down-looking red-green-blue (RGB) digital camera, a high-resolution multi-spectral color infrared (CIR) camera, two precision dual-frequency kinematic carrier-phase GPS receivers, and an integrated miniature digital inertial measurement unit, which provide for submeter georeferencing of each laser sample. The nominal EAARL platform is a twin-engine Cessna 310 aircraft, but the instrument may be deployed on a range of light aircraft. A single pilot, a Lidar operator, and a data analyst constitute the crew for most survey operations. This sensor has the potential to make significant contributions in measuring sub-aerial and submarine coastal topography within cross-environmental surveys. Elevation measurements were collected over the survey area using the EAARL system, and the resulting data were then processed using the Airborne Lidar Processing System (ALPS), a custom-built processing system developed in a NASA-USGS collaboration. ALPS supports the exploration and processing of Lidar data in an interactive or batch mode. Modules for presurvey flight line definition, flight path plotting, Lidar raster and waveform investigation, and digital camera image playback have been developed. Processing algorithms have been developed to extract the range to the first and last significant return within each waveform. ALPS is routinely used to create maps that represent submerged or first surface topography. 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,{"id":97361,"text":"ds391 - 2008 - EAARL coastal topography — Fire Island National Seashore 2007","interactions":[],"lastModifiedDate":"2022-08-04T20:59:55.055215","indexId":"ds391","displayToPublicDate":"2009-03-14T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"391","title":"EAARL coastal topography — Fire Island National Seashore 2007","docAbstract":"These remotely sensed, geographically referenced elevation measurements of Lidar-derived first surface (FS) and bare earth (BE) topography were produced as a collaborative effort between the U.S. Geological Survey (USGS), Florida Integrated Science Center (FISC), St. Petersburg, FL; the National Park Service (NPS), Northeast Coastal and Barrier Network, Kingston, RI; and the National Aeronautics and Space Administration (NASA), Wallops Flight Facility, VA.\r\n\r\nThis project provides highly detailed and accurate datasets of Fire Island National Seashore in New York, acquired on April 29-30 and May 15-16, 2007. 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Processing algorithms have been developed to extract the range to the first and last significant return within each waveform. ALPS is routinely used to create maps that represent submerged or first surface topography. 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,{"id":97359,"text":"ds393 - 2008 - EAARL coastal topography — Sandy Hook 2007","interactions":[],"lastModifiedDate":"2022-08-04T21:10:20.582745","indexId":"ds393","displayToPublicDate":"2009-03-14T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"393","title":"EAARL coastal topography — Sandy Hook 2007","docAbstract":"These remotely sensed, geographically referenced elevation measurements of Lidar-derived topography were produced as a collaborative effort between the U.S. Geological Survey (USGS), Florida Integrated Science Center (FISC), St. Petersburg, FL; the National Park Service (NPS), Northeast Coastal and Barrier Network, Kingston, RI; and the National Aeronautics and Space Administration (NASA), Wallops Flight Facility, VA.\r\n\r\nThis project provides highly detailed and accurate datasets of Gateway National Recreation Area's Sandy Hook Unit in New Jersey, acquired on May 16, 2007. 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The nominal EAARL platform is a twin-engine Cessna 310 aircraft, but the instrument may be deployed on a range of light aircraft. A single pilot, a Lidar operator, and a data analyst constitute the crew for most survey operations. This sensor has the potential to make significant contributions in measuring sub-aerial and submarine coastal topography within cross-environmental surveys. \r\n\r\nElevation measurements were collected over the survey area using the EAARL system, and the resulting data were then processed using the Airborne Lidar Processing System (ALPS), a custom-built processing system developed in a NASA-USGS collaboration. ALPS supports the exploration and processing of Lidar data in an interactive or batch mode. Modules for pre-survey flight line definition, flight path plotting, Lidar raster and waveform investigation, and digital camera image playback have been developed. Processing algorithms have been developed to extract the range to the first and last significant return within each waveform. ALPS is routinely used to create maps that represent submerged or first surface topography. 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,{"id":97363,"text":"ds395 - 2008 - EAARL submerged topography– U.S. Virgin Islands 2003","interactions":[],"lastModifiedDate":"2021-09-22T20:06:30.087093","indexId":"ds395","displayToPublicDate":"2009-03-14T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"395","title":"EAARL submerged topography– U.S. Virgin Islands 2003","docAbstract":"These remotely sensed, geographically referenced elevation measurements of Lidar-derived submerged topography were produced as a collaborative effort between the U.S. Geological Survey (USGS), Florida Integrated Science Center (FISC), St. Petersburg, FL; the National Park Service (NPS), South Florida-Caribbean Network, Miami, FL; and the National Aeronautics and Space Administration (NASA), Wallops Flight Facility, VA.\r\n\r\nThis project provides highly detailed and accurate bathymetric datasets of a portion of the U.S. Virgin Islands, acquired on April 21, 23, and 30, May 2, and June 14 and 17, 2003. The datasets are made available for use as a management tool to research scientists and natural resource managers. An innovative airborne Lidar instrument originally developed at the NASA Wallops Flight Facility, and known as the Experimental Advanced Airborne Research Lidar (EAARL), was used during data acquisition. The EAARL system is a raster-scanning, waveform-resolving, green-wavelength (532-nanometer) Lidar designed to map near-shore bathymetry, topography, and vegetation structure simultaneously. The EAARL sensor suite includes the raster-scanning, water-penetrating full-waveform adaptive Lidar, a down-looking red-green-blue (RGB) digital camera, a high-resolution multi-spectral color infrared (CIR) camera, two precision dual-frequency kinematic carrier-phase GPS receivers, and an integrated miniature digital inertial measurement unit, which provide for submeter georeferencing of each laser sample. The nominal EAARL platform is a twin-engine Cessna 310 aircraft, but the instrument may be deployed on a range of light aircraft. A single pilot, a Lidar operator, and a data analyst constitute the crew for most survey operations. This sensor has the potential to make significant contributions in measuring sub-aerial and submarine coastal topography within cross-environmental surveys. \r\n\r\nElevation measurements were collected over the survey area using the EAARL system, and the resulting data were then processed using the Airborne Lidar Processing System (ALPS), a custom-built processing system developed in a NASA-USGS collaboration. ALPS supports the exploration and processing of Lidar data in an interactive or batch mode. Modules for presurvey flight line definition, flight path plotting, Lidar raster and waveform investigation, and digital camera image playback have been developed. Processing algorithms have been developed to extract the range to the first and last significant return within each waveform. ALPS is used routinely to create maps that represent submerged or first surface topography. Specialized filtering algorithms have been implemented to determine the 'bare earth' under vegetation from a point cloud of last return elevations.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds395","usgsCitation":"Nayegandhi, A., Brock, J., Wright, C.W., Stevens, S., Yates, X., and Bonisteel, J.M., 2008, EAARL submerged topography– U.S. Virgin Islands 2003: U.S. Geological Survey Data Series 395, HTML Document; DVD-ROM, https://doi.org/10.3133/ds395.","productDescription":"HTML Document; DVD-ROM","onlineOnly":"N","additionalOnlineFiles":"Y","temporalStart":"2003-04-21","temporalEnd":"2003-06-17","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":195357,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":389607,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_86448.htm"},{"id":12422,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/395/","linkFileType":{"id":5,"text":"html"}}],"projection":"Universal Transverse Mercator","country":"U.S. Virgin Islands","otherGeospatial":"St John Island","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -64.8175,17.716666666666665 ], [ -64.8175,18.4 ], [ -64.6,18.4 ], [ -64.6,17.716666666666665 ], [ -64.8175,17.716666666666665 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a58e4b07f02db62f2fd","contributors":{"authors":[{"text":"Nayegandhi, Amar","contributorId":37292,"corporation":false,"usgs":true,"family":"Nayegandhi","given":"Amar","affiliations":[],"preferred":false,"id":301847,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brock, John 0000-0002-5289-9332 jbrock@usgs.gov","orcid":"https://orcid.org/0000-0002-5289-9332","contributorId":2261,"corporation":false,"usgs":true,"family":"Brock","given":"John","email":"jbrock@usgs.gov","affiliations":[{"id":5061,"text":"National Cooperative Geologic Mapping and Landslide Hazards","active":true,"usgs":true}],"preferred":true,"id":301845,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wright, C. Wayne wwright@usgs.gov","contributorId":57422,"corporation":false,"usgs":true,"family":"Wright","given":"C.","email":"wwright@usgs.gov","middleInitial":"Wayne","affiliations":[],"preferred":false,"id":301848,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stevens, Sara","contributorId":104015,"corporation":false,"usgs":true,"family":"Stevens","given":"Sara","affiliations":[],"preferred":false,"id":301850,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Yates, Xan","contributorId":78291,"corporation":false,"usgs":true,"family":"Yates","given":"Xan","email":"","affiliations":[],"preferred":false,"id":301849,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bonisteel, Jamie M.","contributorId":12005,"corporation":false,"usgs":true,"family":"Bonisteel","given":"Jamie","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":301846,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":97362,"text":"ds392 - 2008 - EAARL topography - Natchez Trace Parkway 2007: First surface","interactions":[],"lastModifiedDate":"2022-07-22T18:49:55.502374","indexId":"ds392","displayToPublicDate":"2009-03-14T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"392","title":"EAARL topography - Natchez Trace Parkway 2007: First surface","docAbstract":"These remotely sensed, geographically referenced elevation measurements of Lidar-derived first surface (FS) topography were produced as a collaborative effort between the U.S. Geological Survey (USGS), Florida Integrated Science Center (FISC), St. Petersburg, FL; the National Park Service (NPS), Gulf Coast Network, Lafayette, LA; and the National Aeronautics and Space Administration (NASA), Wallops Flight Facility, VA.\r\n\r\nThis project provides highly detailed and accurate datasets of a portion of the Natchez Trace Parkway in Mississippi, acquired on September 14, 2007. The datasets are made available for use as a management tool to research scientists and natural resource managers. An innovative airborne Lidar instrument originally developed at the NASA Wallops Flight Facility, and known as the Experimental Advanced Airborne Research Lidar (EAARL), was used during data acquisition. The EAARL system is a raster-scanning, waveform-resolving, green-wavelength (532-nanometer) Lidar designed to map near-shore bathymetry, topography, and vegetation structure simultaneously. The EAARL sensor suite includes the raster-scanning, water-penetrating full-waveform adaptive Lidar, a down-looking red-green-blue (RGB) digital camera, a high-resolution multi-spectral color infrared (CIR) camera, two precision dual-frequency kinematic carrier-phase GPS receivers, and an integrated miniature digital inertial measurement unit, which provide for submeter georeferencing of each laser sample. The nominal EAARL platform is a twin-engine Cessna 310 aircraft, but the instrument may be deployed on a range of light aircraft. A single pilot, a Lidar operator, and a data analyst constitute the crew for most survey operations. This sensor has the potential to make significant contributions in measuring sub-aerial and submarine coastal topography within cross-environmental surveys. \r\n\r\nElevation measurements were collected over the survey area using the EAARL system, and the resulting data were then processed using the Airborne Lidar Processing System (ALPS), a custom-built processing system developed in a NASA-USGS collaboration. ALPS supports the exploration and processing of Lidar data in an interactive or batch mode. Modules for presurvey flight line definition, flight path plotting, Lidar raster and waveform investigation, and digital camera image playback have been developed. Processing algorithms have been developed to extract the range to the first and last significant return within each waveform. ALPS is used routinely to create maps that represent submerged or first surface topography. Specialized filtering algorithms have been implemented to determine the 'bare earth' under vegetation from a point cloud of last return elevations.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds392","usgsCitation":"Nayegandhi, A., Brock, J., Wright, C.W., Segura, M., and Yates, X., 2008, EAARL topography - Natchez Trace Parkway 2007: First surface: U.S. Geological Survey Data Series 392, HTML Document, https://doi.org/10.3133/ds392.","productDescription":"HTML Document","onlineOnly":"N","additionalOnlineFiles":"Y","temporalStart":"2007-01-01","temporalEnd":"2007-12-31","costCenters":[{"id":5061,"text":"National Cooperative Geologic Mapping and Landslide Hazards","active":true,"usgs":true}],"links":[{"id":195571,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":404379,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_86441.htm","linkFileType":{"id":5,"text":"html"}},{"id":12421,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/392/","linkFileType":{"id":5,"text":"html"}}],"projection":"Universal Transverse Mercator","country":"United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -90.8236,\n              32.05\n            ],\n            [\n              -89.9333,\n              32.05\n            ],\n            [\n              -89.9333,\n              32.5578\n            ],\n            [\n              -90.8236,\n              32.5578\n            ],\n            [\n              -90.8236,\n              32.05\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a54e4b07f02db62c5eb","contributors":{"authors":[{"text":"Nayegandhi, Amar","contributorId":37292,"corporation":false,"usgs":true,"family":"Nayegandhi","given":"Amar","affiliations":[],"preferred":false,"id":301841,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brock, John 0000-0002-5289-9332 jbrock@usgs.gov","orcid":"https://orcid.org/0000-0002-5289-9332","contributorId":2261,"corporation":false,"usgs":true,"family":"Brock","given":"John","email":"jbrock@usgs.gov","affiliations":[{"id":5061,"text":"National Cooperative Geologic Mapping and Landslide Hazards","active":true,"usgs":true}],"preferred":true,"id":301840,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wright, C. Wayne wwright@usgs.gov","contributorId":57422,"corporation":false,"usgs":true,"family":"Wright","given":"C.","email":"wwright@usgs.gov","middleInitial":"Wayne","affiliations":[],"preferred":false,"id":301842,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Segura, Martha","contributorId":77939,"corporation":false,"usgs":true,"family":"Segura","given":"Martha","email":"","affiliations":[],"preferred":false,"id":301843,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Yates, Xan","contributorId":78291,"corporation":false,"usgs":true,"family":"Yates","given":"Xan","email":"","affiliations":[],"preferred":false,"id":301844,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":97357,"text":"ds384 - 2008 - EAARL coastal topography - Northern Gulf of Mexico","interactions":[],"lastModifiedDate":"2023-05-02T20:32:35.960168","indexId":"ds384","displayToPublicDate":"2009-03-14T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"384","title":"EAARL coastal topography - Northern Gulf of Mexico","docAbstract":"These remotely sensed, geographically referenced elevation measurements of Lidar-derived coastal topography were produced as a collaborative effort between the U.S. Geological Survey (USGS), Florida Integrated Science Center (FISC), St. Petersburg, FL and the National Aeronautics and Space Administration (NASA), Wallops Flight Facility, VA. One objective of this research is to create techniques to survey areas for the purposes of geomorphic change studies following major storm events. The USGS Coastal and Marine Geology Program's National Assessment of Coastal Change Hazards project is a multi-year undertaking to identify and quantify the vulnerability of U.S. shorelines to coastal change hazards such as effects of severe storms, sea-level rise, and shoreline erosion and retreat. Airborne Lidar surveys conducted during periods of calm weather are compared to surveys collected following extreme storms in order to quantify the resulting coastal change. Other applications of high-resolution topography include habitat mapping, ecological monitoring, volumetric change detection, and event assessment.\r\n\r\nThe purpose of this project is to provide highly detailed and accurate datasets of the northern Gulf of Mexico coastal areas, acquired on September 19, 2004, immediately following Hurricane Ivan. The datasets are made available for use as a management tool to research scientists and natural resource managers. An innovative airborne Lidar instrument originally developed at the NASA Wallops Flight Facility, and known as the Experimental Airborne Advanced Research Lidar (EAARL), was used during data acquisition. The EAARL system is a raster-scanning, waveform-resolving, green-wavelength (532 nanometer) Lidar designed to map near-shore bathymetry, topography, and vegetation structure simultaneously. The EAARL sensor suite includes the raster-scanning, water-penetrating full-waveform adaptive Lidar, a down-looking RGB (red-green-blue) digital camera, a high-resolution multi-spectral color infrared (CIR) camera, two precision dual-frequency kinematic carrier-phase GPS receivers and an integrated miniature digital inertial measurement unit which provide for sub-meter georeferencing of each laser sample. The nominal EAARL platform is a twin-engine Cessna 310 aircraft, but the instrument may be deployed on a range of light aircraft. A single pilot, a Lidar operator, and a data analyst constitute the crew for most survey operations. This sensor has the potential to make significant contributions in measuring sub-aerial and submarine coastal topography within cross-environmental surveys.\r\n\r\nElevation measurements were collected over the survey area using the EAARL system on September 19, 2004. The survey resulted in the acquisition of 3.2 gigabytes of data. The data were processed using the Airborne Lidar Processing System (ALPS), a custom-built processing system developed in a NASA-USGS collaboration. ALPS supports the exploration and processing of Lidar data in an interactive or batch mode. Modules for pre-survey flight line definition, flight path plotting, Lidar raster and waveform investigation, and digital camera image playback have been developed. Processing algorithms have been developed to extract the range to the first and last significant return within each waveform. ALPS is routinely used to create maps that represent submerged or sub-aerial topography. Specialized filtering algorithms have been implemented to determine the 'bare earth' under vegetation from a point cloud of 'last return' elevations.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds384","usgsCitation":"Nayegandhi, A., Brock, J., Sallenger, A., Wright, C.W., Travers, L.J., and Lebonitte, J., 2008, EAARL coastal topography - Northern Gulf of Mexico: U.S. Geological Survey Data Series 384, HTML Document; DVD-ROM, https://doi.org/10.3133/ds384.","productDescription":"HTML Document; DVD-ROM","onlineOnly":"N","additionalOnlineFiles":"Y","temporalStart":"2004-01-01","temporalEnd":"2004-12-31","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":195570,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":12416,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/384/","linkFileType":{"id":5,"text":"html"}},{"id":416630,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_86436.htm","linkFileType":{"id":5,"text":"html"}}],"projection":"Universal Transverse Mercator","country":"United States","state":"Alabama, Florida, Mississippi","otherGeospatial":"northern Gulf of Mexico","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -88.61749999999999,29.3675 ], [ -88.61749999999999,30.6175 ], [ -84.25,30.6175 ], [ -84.25,29.3675 ], [ -88.61749999999999,29.3675 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a58e4b07f02db62f4a5","contributors":{"authors":[{"text":"Nayegandhi, Amar","contributorId":37292,"corporation":false,"usgs":true,"family":"Nayegandhi","given":"Amar","affiliations":[],"preferred":false,"id":301815,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brock, John 0000-0002-5289-9332 jbrock@usgs.gov","orcid":"https://orcid.org/0000-0002-5289-9332","contributorId":2261,"corporation":false,"usgs":true,"family":"Brock","given":"John","email":"jbrock@usgs.gov","affiliations":[{"id":5061,"text":"National Cooperative Geologic Mapping and Landslide Hazards","active":true,"usgs":true}],"preferred":true,"id":301812,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sallenger, Abby","contributorId":9363,"corporation":false,"usgs":true,"family":"Sallenger","given":"Abby","email":"","affiliations":[],"preferred":false,"id":301814,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wright, C. Wayne wwright@usgs.gov","contributorId":57422,"corporation":false,"usgs":true,"family":"Wright","given":"C.","email":"wwright@usgs.gov","middleInitial":"Wayne","affiliations":[],"preferred":false,"id":301816,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Travers, Laurinda J. ltravers@usgs.gov","contributorId":3002,"corporation":false,"usgs":true,"family":"Travers","given":"Laurinda","email":"ltravers@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":true,"id":301813,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lebonitte, James","contributorId":72891,"corporation":false,"usgs":true,"family":"Lebonitte","given":"James","email":"","affiliations":[],"preferred":false,"id":301817,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":97358,"text":"ds389 - 2008 - EAARL topography: Jean Lafitte National Historical Park and Preserve 2006","interactions":[],"lastModifiedDate":"2026-01-23T16:08:13.280497","indexId":"ds389","displayToPublicDate":"2009-03-14T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"389","title":"EAARL topography: Jean Lafitte National Historical Park and Preserve 2006","docAbstract":"These remotely sensed, geographically referenced elevation measurements of Lidar-derived first surface (FS) and bare earth (BE) topography were produced as a collaborative effort between the U.S. Geological Survey (USGS), Florida Integrated Science Center (FISC), St. Petersburg, FL; the National Park Service (NPS), Gulf Coast Network, Lafayette, LA; and the National Aeronautics and Space Administration (NASA), Wallops Flight Facility, VA.\r\n\r\nThis project provides highly detailed and accurate datasets of the Jean Lafitte National Historical Park and Preserve in Louisiana, acquired on September 22, 2006. The datasets are made available for use as a management tool to research scientists and natural resource managers. An innovative airborne Lidar instrument originally developed at the NASA Wallops Flight Facility, and known as the Experimental Advanced Airborne Research Lidar (EAARL), was used during data acquisition. The EAARL system is a raster-scanning, waveform-resolving, green-wavelength (532-nanometer) Lidar designed to map near-shore bathymetry, topography, and vegetation structure simultaneously. The EAARL sensor suite includes the raster-scanning, water-penetrating full-waveform adaptive Lidar, a down-looking red-green-blue (RGB) digital camera, a high-resolution multi-spectral color infrared (CIR) camera, two precision dual-frequency kinematic carrier-phase GPS receivers, and an integrated miniature digital inertial measurement unit, which provide for submeter georeferencing of each laser sample. The nominal EAARL platform is a twin-engine Cessna 310 aircraft, but the instrument may be deployed on a range of light aircraft. A single pilot, a Lidar operator, and a data analyst constitute the crew for most survey operations. This sensor has the potential to make significant contributions in measuring sub-aerial and submarine coastal topography within cross-environmental surveys. \r\n\r\nElevation measurements were collected over the survey area using the EAARL system, and the resulting data were then processed using the Airborne Lidar Processing System (ALPS), a custom-built processing system developed in a NASA-USGS collaboration. ALPS supports the exploration and processing of Lidar data in an interactive or batch mode. Modules for presurvey flight line definition, flight path plotting, Lidar raster and waveform investigation, and digital camera image playback have been developed. Processing algorithms have been developed to extract the range to the first and last significant return within each waveform. ALPS is used routinely to create maps that represent submerged or first surface topography. Specialized filtering algorithms have been implemented to determine the 'bare earth' under vegetation from a point cloud of last return elevations.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ds389","usgsCitation":"Nayegandhi, A., Brock, J., Wright, C.W., Segura, M., and Yates, X., 2008, EAARL topography: Jean Lafitte National Historical Park and Preserve 2006: U.S. Geological Survey Data Series 389, HTML Document, DVD-ROM, https://doi.org/10.3133/ds389.","productDescription":"HTML Document, DVD-ROM","onlineOnly":"N","additionalOnlineFiles":"Y","temporalStart":"2006-01-01","temporalEnd":"2006-12-31","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":194991,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":420181,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_86437.htm","linkFileType":{"id":5,"text":"html"}},{"id":12417,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/389/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Louisiana","otherGeospatial":"Jean Lafitte National Historical Park and Preserve","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -90.25,\n              29.875\n            ],\n            [\n              -90.25,\n              29.725\n            ],\n            [\n              -90.0833,\n              29.725\n            ],\n            [\n              -90.0833,\n              29.875\n            ],\n            [\n              -90.25,\n              29.875\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a54e4b07f02db62c5c7","contributors":{"authors":[{"text":"Nayegandhi, Amar","contributorId":37292,"corporation":false,"usgs":true,"family":"Nayegandhi","given":"Amar","affiliations":[],"preferred":false,"id":301819,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brock, John 0000-0002-5289-9332 jbrock@usgs.gov","orcid":"https://orcid.org/0000-0002-5289-9332","contributorId":2261,"corporation":false,"usgs":true,"family":"Brock","given":"John","email":"jbrock@usgs.gov","affiliations":[{"id":5061,"text":"National Cooperative Geologic Mapping and Landslide Hazards","active":true,"usgs":true}],"preferred":true,"id":301818,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wright, C. Wayne wwright@usgs.gov","contributorId":57422,"corporation":false,"usgs":true,"family":"Wright","given":"C.","email":"wwright@usgs.gov","middleInitial":"Wayne","affiliations":[],"preferred":false,"id":301820,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Segura, Martha","contributorId":77939,"corporation":false,"usgs":true,"family":"Segura","given":"Martha","email":"","affiliations":[],"preferred":false,"id":301821,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Yates, Xan","contributorId":78291,"corporation":false,"usgs":true,"family":"Yates","given":"Xan","email":"","affiliations":[],"preferred":false,"id":301822,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":97360,"text":"ds390 - 2008 - EAARL topography - Vicksburg National Military Park 2008: Bare earth","interactions":[],"lastModifiedDate":"2022-08-02T19:23:53.189894","indexId":"ds390","displayToPublicDate":"2009-03-14T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"390","title":"EAARL topography - Vicksburg National Military Park 2008: Bare earth","docAbstract":"These remotely sensed, geographically referenced elevation measurements of Lidar-derived bare earth (BE) topography were produced as a collaborative effort between the U.S. Geological Survey (USGS), Florida Integrated Science Center (FISC), St. Petersburg, FL; the National Park Service (NPS), Gulf Coast Network, Lafayette, LA; and the National Aeronautics and Space Administration (NASA), Wallops Flight Facility, VA.\r\n\r\nThis project provides highly detailed and accurate datasets of the Vicksburg National Military Park in Mississippi, acquired on March 6, 2008. The datasets are made available for use as a management tool to research scientists and natural resource managers. An innovative airborne Lidar instrument originally developed at the NASA Wallops Flight Facility, and known as the Experimental Advanced Airborne Research Lidar (EAARL), was used during data acquisition. The EAARL system is a raster-scanning, waveform-resolving, green-wavelength (532-nanometer) Lidar designed to map near-shore bathymetry, topography, and vegetation structure simultaneously. The EAARL sensor suite includes the raster-scanning, water-penetrating full-waveform adaptive Lidar, a down-looking red-green-blue (RGB) digital camera, a high-resolution multi-spectral color infrared (CIR) camera, two precision dual-frequency kinematic carrier-phase GPS receivers, and an integrated miniature digital inertial measurement unit, which provide for submeter georeferencing of each laser sample. The nominal EAARL platform is a twin-engine Cessna 310 aircraft, but the instrument may be deployed on a range of light aircraft. A single pilot, a Lidar operator, and a data analyst constitute the crew for most survey operations. This sensor has the potential to make significant contributions in measuring sub-aerial and submarine coastal topography within cross-environmental surveys. \r\n\r\nElevation measurements were collected over the survey area using the EAARL system, and the resulting data were then processed using the Airborne Lidar Processing System (ALPS), a custom-built processing system developed in a NASA-USGS collaboration. ALPS supports the exploration and processing of Lidar data in an interactive or batch mode. Modules for presurvey flight line definition, flight path plotting, Lidar raster and waveform investigation, and digital camera image playback have been developed. Processing algorithms have been developed to extract the range to the first and last significant return within each waveform. ALPS is used routinely to create maps that represent submerged or first surface topography. Specialized filtering algorithms have been implemented to determine the 'bare earth' under vegetation from a point cloud of last return elevations.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds390","usgsCitation":"Nayegandhi, A., Brock, J., Wright, C.W., Segura, M., and Yates, X., 2008, EAARL topography - Vicksburg National Military Park 2008: Bare earth: U.S. Geological Survey Data Series 390, HTML Document: DVD-ROM, https://doi.org/10.3133/ds390.","productDescription":"HTML Document: DVD-ROM","onlineOnly":"N","additionalOnlineFiles":"Y","temporalStart":"2008-01-01","temporalEnd":"2008-12-31","costCenters":[{"id":5061,"text":"National Cooperative Geologic Mapping and Landslide Hazards","active":true,"usgs":true}],"links":[{"id":195208,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":404700,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_86439.htm","linkFileType":{"id":5,"text":"html"}},{"id":12419,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/390/","linkFileType":{"id":5,"text":"html"}}],"projection":"Universal Transverse Mercator","country":"United States","state":"Mississippi","otherGeospatial":"Vicksburg National Military Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -90.91014862060547,\n              32.29496874193891\n            ],\n            [\n              -90.81470489501953,\n              32.29496874193891\n            ],\n            [\n              -90.81470489501953,\n              32.38286083092867\n            ],\n            [\n              -90.91014862060547,\n              32.38286083092867\n            ],\n            [\n              -90.91014862060547,\n              32.29496874193891\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a55e4b07f02db62d03e","contributors":{"authors":[{"text":"Nayegandhi, Amar","contributorId":37292,"corporation":false,"usgs":true,"family":"Nayegandhi","given":"Amar","affiliations":[],"preferred":false,"id":301830,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brock, John 0000-0002-5289-9332 jbrock@usgs.gov","orcid":"https://orcid.org/0000-0002-5289-9332","contributorId":2261,"corporation":false,"usgs":true,"family":"Brock","given":"John","email":"jbrock@usgs.gov","affiliations":[{"id":5061,"text":"National Cooperative Geologic Mapping and Landslide Hazards","active":true,"usgs":true}],"preferred":true,"id":301829,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wright, C. Wayne wwright@usgs.gov","contributorId":57422,"corporation":false,"usgs":true,"family":"Wright","given":"C.","email":"wwright@usgs.gov","middleInitial":"Wayne","affiliations":[],"preferred":false,"id":301831,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Segura, Martha","contributorId":77939,"corporation":false,"usgs":true,"family":"Segura","given":"Martha","email":"","affiliations":[],"preferred":false,"id":301832,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Yates, Xan","contributorId":78291,"corporation":false,"usgs":true,"family":"Yates","given":"Xan","email":"","affiliations":[],"preferred":false,"id":301833,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":97339,"text":"sir20085182 - 2008 - Ground-Water Flow, 2004-07, and Water Quality, 1992-2007, in McBaine Bottoms, Columbia, Missouri","interactions":[],"lastModifiedDate":"2012-03-08T17:16:28","indexId":"sir20085182","displayToPublicDate":"2009-02-28T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2008-5182","title":"Ground-Water Flow, 2004-07, and Water Quality, 1992-2007, in McBaine Bottoms, Columbia, Missouri","docAbstract":"The U.S. Geological Survey, in cooperation with the city of Columbia, Missouri, and the Missouri Department of Conservation, collected ground-water quality data, surface-water quality data, and water-level data in McBaine Bottoms, southwest of Columbia. McBaine Bottoms, adjacent to the Missouri River, is the location of the municipal-supply well field for the city of Columbia, the city of Columbia wastewater-treatment wetlands, and the Missouri Department of Conservation Eagle Bluffs Conservation Area. This report describes the ground-water flow and water quality of McBaine Bottoms and provides information to better understand the interaction between treated effluent from the wetlands used on the Eagle Bluffs Conservation Area and the water in the alluvial aquifer that is pumped from the city of Columbia municipal-supply well field.\r\nChanges in major chemical constituent concentrations have been detected at several sampling sites between pre- and post-effluent application data. Analysis of post-effluent data indicates substantial changes in calcium, potassium, sodium, chloride, and sulfate concentrations in ground water. These changes became apparent shortly after the beginning of the operation of the wastewater-treatment wetland in 1994 and the formation of the Eagle Bluffs Conservation Area, which uses the treated effluent as a water source for the management of migratory water fowl. The changes have continued throughout the 15 years of sample collection. The concentrations of these major chemical constituents are on the mixing continuum between pre-effluent ground water as one end member and the treated wastewater effluent as the other end member. For monitoring wells that had changes in major chemical constituent concentrations, the relative percentage of treated effluent in the ground water, assuming chloride is conservative, ranged from 6 to 88 percent.\r\nTwenty-two monitoring wells throughout McBaine Bottoms have been affected by effluent based on chloride concentrations larger than 40 milligrams per liter. The chloride concentration of ground water in the alluvial aquifer reflects several sources, including precipitation, water from the Missouri River, water in the aquifer, and the treated effluent. Chloride concentrations from precipitation, the Missouri River, and water in the alluvial aquifer were less than 40 milligrams per liter. These monitoring wells affected by effluent are located in two general areas - adjacent to treatment wetland unit 1 and near the ground-water high on and north of the Eagle Bluffs Conservation Area. The probable source of the large chloride concentrations in well samples adjacent to treatment wetland unit 1 is leakage from the unit. The source for the large chloride concentrations in the other monitoring well samples is the effluent mixed with ground water and Missouri River water that is used to fill pools on the Eagle Bluffs Conservation Area. One monitoring well had a single sample with a chloride concentration larger than 40 milligrams per liter. That sample may have been affected by the use of road salt because of the presence of ice and snow immediately before the sample was collected.\r\nLateral ground-water flow was dominated by the presence of a persistent ground-water high beneath the Eagle Bluffs Conservation Area and the presence of a cone of depression centered around the city of Columbia well field in the northern part of the study area. Ground-water flow was radially away from the apex of the ground-water high; west and south of the high, flow was toward the Missouri River, east of the high, flow was toward Perche Creek, and north of the high, flow was to the north toward the cone of depression around the city of Columbia well field. Another permanent feature on the water-level maps was a ground-water high beneath treatment wetland unit 1.\r\nAlthough the ground-water high was present throughout the study period, the subsurface expression of the high changed depending on hydrolo","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20085182","collaboration":"Prepared in cooperation with the City of Columbia and the Missouri Department of Conservation","usgsCitation":"Smith, B.J., and Richards, J.M., 2008, Ground-Water Flow, 2004-07, and Water Quality, 1992-2007, in McBaine Bottoms, Columbia, Missouri: U.S. Geological Survey Scientific Investigations Report 2008-5182, vi, 70 p., https://doi.org/10.3133/sir20085182.","productDescription":"vi, 70 p.","temporalStart":"1992-01-01","temporalEnd":"2007-12-31","costCenters":[{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true}],"links":[{"id":195353,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":12392,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2008/5182/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -92.5,38.8 ], [ -92.5,38.916666666666664 ], [ -92.36666666666666,38.916666666666664 ], [ -92.36666666666666,38.8 ], [ -92.5,38.8 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49f0e4b07f02db5ee20c","contributors":{"authors":[{"text":"Smith, Brenda Joyce","contributorId":34611,"corporation":false,"usgs":true,"family":"Smith","given":"Brenda","email":"","middleInitial":"Joyce","affiliations":[],"preferred":false,"id":301754,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Richards, Joseph M. 0000-0002-9822-2706 richards@usgs.gov","orcid":"https://orcid.org/0000-0002-9822-2706","contributorId":2370,"corporation":false,"usgs":true,"family":"Richards","given":"Joseph","email":"richards@usgs.gov","middleInitial":"M.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":301753,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70176354,"text":"70176354 - 2008 - Mapping \"old\" versus \"young\" piñon-juniper stands with a predictive topo-climatic model in north-central New Mexico, USA","interactions":[],"lastModifiedDate":"2018-01-23T10:40:02","indexId":"70176354","displayToPublicDate":"2008-10-01T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Mapping \"old\" versus \"young\" piñon-juniper stands with a predictive topo-climatic model in north-central New Mexico, USA","docAbstract":"<p><span></span><span>Piñon pine and juniper woodlands in the southwestern United States are often represented as an expanding and even invasive vegetation type, a legacy of historic grazing, and culpable in the degradation of western rangelands. A long-standing emphasis on forage production, in combination with recent hazard fuel concerns, has prompted a new era of woodland management with stated restoration objectives. Yet the extent and dynamics of piñon–juniper communities that predate intensive Euro-American settlement activities are poorly known or understood, while the intrinsic ecological, aesthetic, and economic values of old-growth woodlands are often overlooked. Historical changes in piñon–juniper stands include two related, but poorly differentiated processes: recent tree expansion into grass- or shrub-dominated (i.e., non-woodland) vegetation and thickening or infilling of savanna or mosaic woodlands predating settlement. Our work addresses the expansion pattern, modeling the occurrence of “older” savanna and woodland stands extant prior to 1850 in contrast to “younger” piñon–juniper growth of more recent, postsettlement origin. We present criteria in the form of a diagnostic key for distinguishing “older,” pre-Euro-American settlement piñon–juniper from “younger” (post-1850) stands and report results of predictive modeling and mapping efforts within a north-central New Mexico study area. Selected models suggest a primary role for soil moisture in the current distribution of “old” vs. “young” piñon–juniper stands. Presettlement era woodlands are shown to occupy a discrete ecological space, defined by the interaction of effective (seasonal) moisture with landform setting and fine-scale (soil/water) depositional patterns. “Older” stands are generally found at higher elevations or on skeletal soils in upland settings, while “younger” stands (often dominated by one-seed juniper, <span class=\"genusSpeciesInfoAsset\">Juniperus monosperma</span>) are most common at lower elevations or in productive, depositional settings. Modeling at broad regional scales can enhance our general understanding of piñon–juniper ecology, while predictive mapping of local areas has potential to provide products useful for land management. Areas of the southwestern United States with strong monsoonal (summer moisture) patterns appear to have been the most susceptible to historical woodland expansion, but even here the great majority of extant piñon–juniper has presettlement origins (although widely thickened and infilled historically), and old-growth structure is not uncommon in appropriate upland settings.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1890/07-0847.1","usgsCitation":"Jacobs, B.F., Romme, W., and Allen, C.D., 2008, Mapping \"old\" versus \"young\" piñon-juniper stands with a predictive topo-climatic model in north-central New Mexico, USA: Ecological Applications, v. 18, no. 7, p. 1627-1641, https://doi.org/10.1890/07-0847.1.","productDescription":"15 p.","startPage":"1627","endPage":"1641","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":328427,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"18","issue":"7","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57d3dd3be4b0571647d19aa3","contributors":{"authors":[{"text":"Jacobs, B. F.","contributorId":174520,"corporation":false,"usgs":false,"family":"Jacobs","given":"B.","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":648478,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Romme, W.H.","contributorId":89307,"corporation":false,"usgs":true,"family":"Romme","given":"W.H.","email":"","affiliations":[],"preferred":false,"id":648479,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Allen, Craig D. 0000-0002-8777-5989 craig_allen@usgs.gov","orcid":"https://orcid.org/0000-0002-8777-5989","contributorId":2597,"corporation":false,"usgs":true,"family":"Allen","given":"Craig","email":"craig_allen@usgs.gov","middleInitial":"D.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":648480,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":86089,"text":"ds339 - 2008 - A Compilation of Provisional Karst Geospatial Data for the Interior Low Plateaus Physiographic Region, Central United States","interactions":[],"lastModifiedDate":"2012-02-02T00:14:25","indexId":"ds339","displayToPublicDate":"2008-08-07T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"339","title":"A Compilation of Provisional Karst Geospatial Data for the Interior Low Plateaus Physiographic Region, Central United States","docAbstract":"Geospatial data needed to visualize and evaluate the hydrogeologic framework and distribution of karst features in the Interior Low Plateaus physiographic region of the central United States were compiled during 2004-2007 as part of the Ground-Water Resources Program Karst Hydrology Initiative (KHI) project. Because of the potential usefulness to environmental and water-resources regulators, private consultants, academic researchers, and others, the geospatial data files created during the KHI project are being made available to the public as a provisional regional karst dataset. To enhance accessibility and visualization, the geospatial data files have been compiled as ESRI ArcReader data folders and user interactive Published Map Files (.pmf files), all of which are catalogued by the boundaries of surface watersheds using U.S. Geological Survey (USGS) eight-digit hydrologic unit codes (HUC-8s). Specific karst features included in the dataset include mapped sinkhole locations, sinking (or disappearing) streams, internally drained catchments, karst springs inventoried in the USGS National Water Information System (NWIS) database, relic stream valleys, and karst flow paths obtained from results of previously reported water-tracer tests.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/ds339","usgsCitation":"Taylor, C.J., and Nelson, H.L., 2008, A Compilation of Provisional Karst Geospatial Data for the Interior Low Plateaus Physiographic Region, Central United States: U.S. Geological Survey Data Series 339, iv, 26 p., https://doi.org/10.3133/ds339.","productDescription":"iv, 26 p.","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2004-01-01","temporalEnd":"2007-12-31","costCenters":[{"id":327,"text":"Groundwater Resources Program","active":false,"usgs":true}],"links":[{"id":11646,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/339/","linkFileType":{"id":5,"text":"html"}},{"id":195529,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd4950e4b0b290850ef0b7","contributors":{"authors":[{"text":"Taylor, Charles J.","contributorId":93100,"corporation":false,"usgs":true,"family":"Taylor","given":"Charles","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":296799,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nelson, Hugh L. hlnelson@usgs.gov","contributorId":4158,"corporation":false,"usgs":true,"family":"Nelson","given":"Hugh","email":"hlnelson@usgs.gov","middleInitial":"L.","affiliations":[{"id":354,"text":"Kentucky Water Science Center","active":true,"usgs":true}],"preferred":true,"id":296798,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":81327,"text":"ds348 - 2008 - Archive of digital boomer seismic reflection data collected during USGS field activity 02LCA02 in Lakes Ada, Crystal, Jennie, Mary, Rice, and Sylvan, Central Florida, July 2002","interactions":[],"lastModifiedDate":"2023-12-07T17:34:01.825081","indexId":"ds348","displayToPublicDate":"2008-05-30T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"348","title":"Archive of digital boomer seismic reflection data collected during USGS field activity 02LCA02 in Lakes Ada, Crystal, Jennie, Mary, Rice, and Sylvan, Central Florida, July 2002","docAbstract":"In July of 2002, the U.S. Geological Survey and St. Johns River Water Management District (SJRWMD) conducted geophysical surveys in Lakes Ada, Crystal, Jennie, Mary, Rice, and Sylvan, central Florida, as part of the USGS Lakes and Coastal Aquifers (LCA) study. This report serves as an archive of unprocessed digital boomer seismic reflection data, trackline maps, navigation files, Geographic Information System (GIS) files, and formal Federal Geographic Data Committee (FGDC) metadata. Filtered and gained (a relative increase in signal amplitude) digital images of the seismic profiles are also provided. Refer to the Acronyms page for expansions of acronyms and abbreviations used in this report.\r\n\r\nThe archived trace data are in standard Society of Exploration Geophysicists (SEG) SEG-Y format (Barry and others, 1975) and may be downloaded and processed with commercial or public domain software such as Seismic Unix (SU). Example SU processing scripts and USGS software for viewing the SEG-Y files (Zihlman, 1992) are also provided.\r\n\r\nThe USGS Florida Integrated Science Center (FISC) - St. Petersburg assigns a unique identifier to each cruise or field activity. For example, 02LCA02 tells us the data were collected in 2002 for the Lakes and Coastal Aquifers (LCA) study and the data were collected during the second field activity for that study in that calendar year. Refer to http://walrus.wr.usgs.gov/infobank/programs/html/definition/activity.html for a detailed description of the method used to assign the field activity ID.\r\n\r\nThe boomer plate is an acoustic energy source that consists of capacitors charged to a high voltage and discharged through a transducer in the water. The transducer is towed on a sled floating on the water surface and when discharged emits a short acoustic pulse, or shot, which propagates through the water, sediment column, or rock beneath. The acoustic energy is reflected at density boundaries (such as the seafloor, sediment, or rock layers beneath the seafloor), detected by the receiver, and recorded by a PC-based seismic acquisition system. This process is repeated at timed intervals (for example, 0.5 s) and recorded for specific intervals of time (for example, 100 ms). In this way, a two-dimensional (2-D) vertical profile of the shallow geologic structure beneath the ship track is produced. Figure 1 displays the acquisition geometry. Refer to table 1 for a summary of acquisition parameters. Table 2 lists trackline statistics.\r\n\r\nThe unprocessed seismic data are stored in SEG-Y format (Barry and others, 1975). For a detailed description of the data format, refer to the SEG-Y Format page. See the How To Download SEG-Y Data page for download instructions. The printable profiles provided here are GIF images that were filtered and gained using Seismic Unix software. Refer to the Software page for details about the processing and examples of the processing scripts. The processed SEG-Y data were exported to Chesapeake Technology, Inc. (CTI) SonarWeb software to produce an interactive Web page of the profile, which allows the user to obtain a geographic location and depth from the profile for a curser position. This information is displayed in the status bar of the browser.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ds348","usgsCitation":"Harrison, A.S., Dadisman, S.V., Davis, J.B., and Wiese, D.S., 2008, Archive of digital boomer seismic reflection data collected during USGS field activity 02LCA02 in Lakes Ada, Crystal, Jennie, Mary, Rice, and Sylvan, Central Florida, July 2002: U.S. Geological Survey Data Series 348, HTML Document; CD-ROM, https://doi.org/10.3133/ds348.","productDescription":"HTML Document; CD-ROM","onlineOnly":"N","additionalOnlineFiles":"Y","temporalStart":"2002-07-01","temporalEnd":"2002-07-31","costCenters":[{"id":277,"text":"Florida Integrated Science Center - St. Petersburg","active":false,"usgs":true},{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":11376,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/348/","linkFileType":{"id":5,"text":"html"}},{"id":195738,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Lakes Ada, Crystal, Jennie, Mary, Rice, and Sylvan","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -81.79041119577676,\n              28.414380994317753\n            ],\n            [\n              -81.79041119577676,\n              27.778433363478257\n            ],\n            [\n              -81.14375039865179,\n              27.778433363478257\n            ],\n            [\n              -81.14375039865179,\n              28.414380994317753\n            ],\n            [\n              -81.79041119577676,\n              28.414380994317753\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ac5e4b07f02db679d78","contributors":{"authors":[{"text":"Harrison, Arnell S. 0000-0002-5581-2255","orcid":"https://orcid.org/0000-0002-5581-2255","contributorId":35021,"corporation":false,"usgs":true,"family":"Harrison","given":"Arnell","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":295221,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dadisman, Shawn V. sdadisman@usgs.gov","contributorId":2207,"corporation":false,"usgs":true,"family":"Dadisman","given":"Shawn","email":"sdadisman@usgs.gov","middleInitial":"V.","affiliations":[],"preferred":true,"id":295219,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Davis, Jeffrey B.","contributorId":50168,"corporation":false,"usgs":true,"family":"Davis","given":"Jeffrey","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":295222,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wiese, Dana S. dwiese@usgs.gov","contributorId":2476,"corporation":false,"usgs":true,"family":"Wiese","given":"Dana","email":"dwiese@usgs.gov","middleInitial":"S.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":295220,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":81328,"text":"ds346 - 2008 - Archive of digital boomer seismic reflection data collected during USGS field activity 96LCA04 in Lakes Mabel and Starr, Central Florida, August 1996","interactions":[],"lastModifiedDate":"2023-12-07T17:28:25.035558","indexId":"ds346","displayToPublicDate":"2008-05-30T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"346","title":"Archive of digital boomer seismic reflection data collected during USGS field activity 96LCA04 in Lakes Mabel and Starr, Central Florida, August 1996","docAbstract":"In August of 1996, the U.S. Geological Survey conducted geophysical surveys of Lakes Mabel and Starr, central Florida, as part of the Central Highlands Lakes project, which is part of a larger USGS Lakes and Coastal Aquifers (LCA) study. This report serves as an archive of unprocessed digital boomer seismic reflection data, trackline maps, navigation files, Geographic Information System (GIS) files, observer's logbook; and formal Federal Geographic Data Committee (FGDC) metadata. Filtered and gained (a relative increase in signal amplitude) digital images of the seismic profiles are also provided. Refer to the Acronyms page for expansions of acronyms and abbreviations used in this report. For detailed information about the hydrologic setting of Lake Starr and the interpretation of some of these seismic reflection data, see Swancar and others (2000) at http://fl.water.usgs.gov/publications/Abstracts/wri00_4030_swancar.html.\r\n\r\nThe archived trace data are in standard Society of Exploration Geophysicists (SEG) SEG-Y format (Barry and others, 1975) and may be downloaded and processed with commercial or public domain software such as Seismic Unix (SU). Example SU processing scripts and USGS software for viewing the SEG-Y files (Zihlman, 1992) are also provided.\r\n\r\nThe USGS Florida Integrated Science Center (FISC) - St. Petersburg assigns a unique identifier to each cruise or field activity. For example, 96LCA04 tells us the data were collected in 1996 for the Lakes and Coastal Aquifers (LCA) study and the data were collected during the fourth field activity for that project in that calendar year. Refer to http://walrus.wr.usgs.gov/infobank/programs/html/definition/activity.html for a detailed description of the method used to assign the field activity ID.\r\n\r\nThe boomer plate is an acoustic energy source that consists of capacitors charged to a high voltage and discharged through a transducer in the water. The transducer is towed on a sled floating on the water surface and when discharged emits a short acoustic pulse, or shot, which propagates through the water and sediment column. The acoustic energy is reflected at density boundaries (such as the seafloor or sediment layers beneath the lake bottom), detected by the receiver (a hydrophone streamer), and recorded by a PC-based seismic acquisition system. This process is repeated at timed intervals (for example, 0.5 s) and recorded for specific intervals of time (for example, 100 ms). In this way, a two-dimensional (2-D) vertical image of the shallow geologic structure beneath the ship track is produced. Figure 1 displays the acquisition geometry. Refer to table 1 for a summary of acquisition parameters. Table 2 lists trackline statistics. Scanned images of the handwritten cruise logbook (1,020-KB PDF) is also provided as a PDF file.\r\n\r\nThe unprocessed seismic data are stored in SEG-Y format (Barry and others, 1975). For a detailed description of the data format, refer to the SEG-Y Format page. See the How To Download SEG-Y Data page for download instructions. The printable profiles provided here are GIF images that were filtered and gained using Seismic Unix software. Refer to the Software page for details about the processing and examples of the processing scripts. The processed SEG-Y data were exported to Chesapeake Technology, Inc. (CTI) SonarWeb software to produce an interactive version of the seismic profile that allows the user to obtain a geographic location and depth from the profile for a curser position. This information is displayed in the status bar of the browser.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ds346","usgsCitation":"Harrison, A.S., Dadisman, S.V., Swancar, A., Tihansky, A.B., Flocks, J.G., and Wiese, D.S., 2008, Archive of digital boomer seismic reflection data collected during USGS field activity 96LCA04 in Lakes Mabel and Starr, Central Florida, August 1996: U.S. Geological Survey Data Series 346, HTML Document; CD-ROM, https://doi.org/10.3133/ds346.","productDescription":"HTML Document; CD-ROM","onlineOnly":"N","additionalOnlineFiles":"Y","temporalStart":"1996-08-01","temporalEnd":"1996-08-31","costCenters":[{"id":277,"text":"Florida Integrated Science Center - St. Petersburg","active":false,"usgs":true},{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":11377,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/346/","linkFileType":{"id":5,"text":"html"}},{"id":195655,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Lakes Mabel and Starr","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -81.59542715701335,\n              27.975348069350403\n            ],\n            [\n              -81.59542715701335,\n              27.95108887051552\n            ],\n            [\n              -81.58101971481496,\n              27.95108887051552\n            ],\n            [\n              -81.58101971481496,\n              27.975348069350403\n            ],\n            [\n              -81.59542715701335,\n              27.975348069350403\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ac5e4b07f02db679da8","contributors":{"authors":[{"text":"Harrison, Arnell S. 0000-0002-5581-2255","orcid":"https://orcid.org/0000-0002-5581-2255","contributorId":35021,"corporation":false,"usgs":true,"family":"Harrison","given":"Arnell","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":295228,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dadisman, Shawn V. sdadisman@usgs.gov","contributorId":2207,"corporation":false,"usgs":true,"family":"Dadisman","given":"Shawn","email":"sdadisman@usgs.gov","middleInitial":"V.","affiliations":[],"preferred":true,"id":295225,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Swancar, Amy aswancar@usgs.gov","contributorId":450,"corporation":false,"usgs":true,"family":"Swancar","given":"Amy","email":"aswancar@usgs.gov","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":295223,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tihansky, Ann B. tihansky@usgs.gov","contributorId":2477,"corporation":false,"usgs":true,"family":"Tihansky","given":"Ann","email":"tihansky@usgs.gov","middleInitial":"B.","affiliations":[],"preferred":true,"id":295227,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Flocks, James G. 0000-0002-6177-7433 jflocks@usgs.gov","orcid":"https://orcid.org/0000-0002-6177-7433","contributorId":816,"corporation":false,"usgs":true,"family":"Flocks","given":"James","email":"jflocks@usgs.gov","middleInitial":"G.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":295224,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wiese, Dana S. dwiese@usgs.gov","contributorId":2476,"corporation":false,"usgs":true,"family":"Wiese","given":"Dana","email":"dwiese@usgs.gov","middleInitial":"S.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":295226,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":81155,"text":"ds343 - 2008 - Hydrographs showing ground-water level trends for selected wells in the Yakima River basin aquifer system, Washington","interactions":[],"lastModifiedDate":"2022-06-30T21:33:52.344343","indexId":"ds343","displayToPublicDate":"2008-05-04T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"343","title":"Hydrographs showing ground-water level trends for selected wells in the Yakima River basin aquifer system, Washington","docAbstract":"Selected ground-water level hydrographs for the Yakima River basin aquifer system, Washington, are presented in an interactive web-based map to illustrate the existence or lack of trends in ground-water levels and, thus, potential variations in ground-water availability in the area. Hydrographs are linked to points corresponding to the well location on an interactive map of the study area. Ground-water level data and well information from Federal, State, and local agencies were obtained from the U.S. Geological Survey National Water Information System. Selected data points were excluded from hydrographs to emphasize long-term term trends over short-term effects of human activity (such as pumping a well) and seasonal fluctuations in ground-water levels.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ds343","collaboration":"Prepared in cooperation with the Bureau of Reclamation, Washington State Department of Ecology, and the Yakama Nation","usgsCitation":"Keys, M.E., Vaccaro, J.J., Jones, M., and Julich, R.J., 2008, Hydrographs showing ground-water level trends for selected wells in the Yakima River basin aquifer system, Washington: U.S. Geological Survey Data Series 343, HTML Document, https://doi.org/10.3133/ds343.","productDescription":"HTML Document","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":190891,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":402797,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_83556.htm","linkFileType":{"id":5,"text":"html"}},{"id":11185,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/343/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Washington","otherGeospatial":"Yakima River basin aquifer system","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -121.5,\n              46\n            ],\n            [\n              -119.2083,\n              46\n            ],\n            [\n              -119.2083,\n              47.5833\n            ],\n            [\n              -121.5,\n              47.5833\n            ],\n            [\n              -121.5,\n              46\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a2de4b07f02db6146b1","contributors":{"authors":[{"text":"Keys, M. E.","contributorId":69656,"corporation":false,"usgs":true,"family":"Keys","given":"M.","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":294517,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Vaccaro, J. J.","contributorId":48173,"corporation":false,"usgs":true,"family":"Vaccaro","given":"J.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":294516,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jones, M. A.","contributorId":37736,"corporation":false,"usgs":true,"family":"Jones","given":"M. A.","affiliations":[],"preferred":false,"id":294515,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Julich, R. J.","contributorId":85666,"corporation":false,"usgs":true,"family":"Julich","given":"R.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":294518,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":81024,"text":"fs20083004 - 2008 - An Overview of the GIS Weasel","interactions":[],"lastModifiedDate":"2012-02-02T00:14:15","indexId":"fs20083004","displayToPublicDate":"2008-03-18T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2008-3004","title":"An Overview of the GIS Weasel","docAbstract":"This fact sheet provides a high-level description of the GIS Weasel, a software system designed to aid users in preparing spatial information as input to lumped and distributed parameter environmental simulation models (ESMs). The GIS Weasel provides geographic information system (GIS) tools to help create maps of geographic features relevant to the application of a user?s ESM and to generate parameters from those maps. The operation of the GIS Weasel does not require a user to be a GIS expert, only that a user has an understanding of the spatial information requirements of the model. The GIS Weasel software system provides a GIS-based graphical user interface (GUI), C programming language executables, and general utility scripts. The software will run on any computing platform where ArcInfo Workstation (version 8.1 or later) and the GRID extension are accessible. The user controls the GIS Weasel by interacting with menus, maps, and tables.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/fs20083004","usgsCitation":"Viger, R., 2008, An Overview of the GIS Weasel (Version 1.0): U.S. Geological Survey Fact Sheet 2008-3004, 2 p., https://doi.org/10.3133/fs20083004.","productDescription":"2 p.","onlineOnly":"Y","costCenters":[{"id":397,"text":"Modeling of Watershed Systems Project","active":false,"usgs":true}],"links":[{"id":125266,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2008_3004.jpg"},{"id":10888,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2008/3004/","linkFileType":{"id":5,"text":"html"}}],"edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4adbe4b07f02db68616f","contributors":{"authors":[{"text":"Viger, Roland J.","contributorId":97528,"corporation":false,"usgs":true,"family":"Viger","given":"Roland J.","affiliations":[],"preferred":false,"id":294153,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70156428,"text":"70156428 - 2008 - Towards monitoring land-cover and land-use changes at a global scale: the global land survey 2005","interactions":[],"lastModifiedDate":"2017-04-17T10:17:09","indexId":"70156428","displayToPublicDate":"2008-01-01T12:15:00","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3052,"text":"Photogrammetric Engineering and Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Towards monitoring land-cover and land-use changes at a global scale: the global land survey 2005","docAbstract":"<p>Land cover is a critical component of the Earth system, infl uencing land-atmosphere interactions, greenhouse gas fl uxes, ecosystem health, and availability of food, fi ber, and energy for human populations. The recent Integrated Global Observations of Land (IGOL) report calls for the generation of maps documenting global land cover at resolutions between 10m and 30m at least every fi ve years (Townshend et al., in press). Moreover, despite 35 years of Landsat observations, there has not been a unifi ed global analysis of land-cover trends nor has there been a global assessment of land-cover change at Landsat-like resolution. Since the 1990s, the National Aeronautics and Space Administration (NASA) and the U.S. Geological Survey (USGS) have supported development of data sets based on global Landsat observations (Tucker et al., 2004). These land survey data sets, usually referred to as GeoCover &trade;, provide global, orthorectifi ed, typically cloud-free Landsat imagery centered on the years 1975, 1990, and 2000, with a preference for leaf-on conditions. Collectively, these data sets provided a consistent set of observations to assess land-cover changes at a decadal scale. These data are freely available via the Internet from the USGS Center for Earth Resources Observation and Science (EROS) (see http://earthexplorer.usgs.gov or http://glovis.usgs.gov). This has resulted in unprecedented downloads of data, which are widely used in scientifi c studies of land-cover change (e.g., Boone et al., 2007; Harris et al., 2005; Hilbert, 2006; Huang et al. 2007; Jantz et al., 2005, Kim et al., 2007; Leimgruber, 2005; Masek et al., 2006). NASA and USGS are continuing to support land-cover change research through the development of GLS2005 - an additional global Landsat assessment circa 20051 . Going beyond the earlier initiatives, this data set will establish a baseline for monitoring changes on a 5-year interval and will pave the way toward continuous global land-cover monitoring at Landsat-like resolution in the next decade.</p>","language":"English","publisher":"American Society of Photogrammetry","publisherLocation":"Falls Church, VA","usgsCitation":"Gutman, G., Byrnes, R.A., Masek, J., Covington, S., Justice, C., Franks, S., and Headley, R., 2008, Towards monitoring land-cover and land-use changes at a global scale: the global land survey 2005: Photogrammetric Engineering and Remote Sensing, v. 74, no. 1, p. 6-10.","productDescription":"5 p.","startPage":"6","endPage":"10","numberOfPages":"5","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":307121,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"74","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57fe8811e4b0824b2d149db7","contributors":{"authors":[{"text":"Gutman, G.","contributorId":146850,"corporation":false,"usgs":false,"family":"Gutman","given":"G.","email":"","affiliations":[],"preferred":false,"id":569142,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Byrnes, Raymond A. rbyrnes@usgs.gov","contributorId":4779,"corporation":false,"usgs":true,"family":"Byrnes","given":"Raymond","email":"rbyrnes@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":569143,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Masek, J.","contributorId":88563,"corporation":false,"usgs":true,"family":"Masek","given":"J.","affiliations":[],"preferred":false,"id":569144,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Covington, S.","contributorId":13111,"corporation":false,"usgs":true,"family":"Covington","given":"S.","email":"","affiliations":[],"preferred":false,"id":569145,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Justice, C.","contributorId":146851,"corporation":false,"usgs":false,"family":"Justice","given":"C.","email":"","affiliations":[],"preferred":false,"id":569146,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Franks, S.","contributorId":40803,"corporation":false,"usgs":true,"family":"Franks","given":"S.","email":"","affiliations":[],"preferred":false,"id":569147,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Headley, Rachel rheadley@usgs.gov","contributorId":1744,"corporation":false,"usgs":true,"family":"Headley","given":"Rachel","email":"rheadley@usgs.gov","affiliations":[],"preferred":true,"id":569148,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70033764,"text":"70033764 - 2008 - Buruli ulcer disease prevalence in Benin, West Africa: Associations with land use/cover and the identification of disease clusters","interactions":[],"lastModifiedDate":"2012-03-12T17:21:31","indexId":"70033764","displayToPublicDate":"2008-01-01T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2050,"text":"International Journal of Health Geographics","active":true,"publicationSubtype":{"id":10}},"title":"Buruli ulcer disease prevalence in Benin, West Africa: Associations with land use/cover and the identification of disease clusters","docAbstract":"Background: Buruli ulcer (BU) disease, caused by infection with the environmental mycobacterium M. ulcerans, is an emerging infectious disease in many tropical and sub-tropical countries. Although vectors and modes of transmission remain unknown, it is hypothesized that the transmission of BU disease is associated with human activities in or around aquatic environments, and that characteristics of the landscape (e.g., land use/cover) play a role in mediating BU disease. Several studies performed at relatively small spatial scales (e.g., within a single village or region of a country) support these hypotheses; however, if BU disease is associated with land use/cover characteristics, either through spatial constraints on vector-host dynamics or by mediating human activities, then large-scale (i.e., country-wide) associations should also emerge. The objectives of this study were to (1) investigate associations between BU disease prevalence in villages in Benin, West Africa and surrounding land use/cover patterns and other map-based characteristics, and (2) identify areas with greater and lower than expected prevalence rates (i.e., disease clusters) to assist with the development of prevention and control programs. Results: Our landscape-based models identified low elevation, rural villages surrounded by forest land cover, and located in drainage basins with variable wetness patterns as being associated with higher BU disease prevalence rates. We also identified five spatial disease clusters. Three of the five clusters contained villages with greater than expected prevalence rates and two clusters contained villages with lower than expected prevalence rates. Those villages with greater than expected BU disease prevalence rates spanned a fairly narrow region of south-central Benin. Conclusion: Our analyses suggest that interactions between natural land cover and human alterations to the landscape likely play a role in the dynamics of BU disease. For example, urbanization, potentially by providing access to protected water sources, may reduce the likelihood of becoming infected with BU disease. Villages located at low elevations may have higher BU disease prevalence rates due to their close spatial proximity to high risk environments. In addition, forest land cover and drainage basins with variable wetness patterns may be important for providing suitable growth conditions for M. ulcerans, influencing the distribution and abundance of vectors, or mediating vector-human interactions. The identification of disease clusters in this study provides direction for future research aimed at better understanding these and other environmental and social determinants involved in BU disease outbreaks. ?? 2008 Wagner et al; licensee BioMed Central Ltd.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"International Journal of Health Geographics","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1186/1476-072X-7-25","issn":"1476072X","usgsCitation":"Wagner, T., Benbow, M., Brenden, T., Qi, J., and Johnson, R.C., 2008, Buruli ulcer disease prevalence in Benin, West Africa: Associations with land use/cover and the identification of disease clusters: International Journal of Health Geographics, v. 7, https://doi.org/10.1186/1476-072X-7-25.","costCenters":[],"links":[{"id":487719,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/1476-072x-7-25","text":"Publisher Index Page"},{"id":214204,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1186/1476-072X-7-25"},{"id":241902,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059f2bbe4b0c8380cd4b31d","contributors":{"authors":[{"text":"Wagner, T.","contributorId":7488,"corporation":false,"usgs":true,"family":"Wagner","given":"T.","email":"","affiliations":[],"preferred":false,"id":442346,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Benbow, M.E.","contributorId":13586,"corporation":false,"usgs":true,"family":"Benbow","given":"M.E.","email":"","affiliations":[],"preferred":false,"id":442347,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brenden, T.O.","contributorId":22978,"corporation":false,"usgs":true,"family":"Brenden","given":"T.O.","affiliations":[],"preferred":false,"id":442348,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Qi, J.","contributorId":48718,"corporation":false,"usgs":true,"family":"Qi","given":"J.","email":"","affiliations":[],"preferred":false,"id":442349,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Johnson, R. C. 0000-0002-6197-5165","orcid":"https://orcid.org/0000-0002-6197-5165","contributorId":101621,"corporation":false,"usgs":true,"family":"Johnson","given":"R.","middleInitial":"C.","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":442350,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70033652,"text":"70033652 - 2008 - Reconstructed historical land cover and biophysical parameters for studies of land-atmosphere interactions within the eastern United States","interactions":[],"lastModifiedDate":"2017-04-03T14:10:55","indexId":"70033652","displayToPublicDate":"2008-01-01T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2316,"text":"Journal of Geophysical Research D: Atmospheres","active":true,"publicationSubtype":{"id":10}},"title":"Reconstructed historical land cover and biophysical parameters for studies of land-atmosphere interactions within the eastern United States","docAbstract":"Over the past 350 years, the eastern half of the United States experienced extensive land cover changes. These began with land clearing in the 1600s, continued with widespread deforestation, wetland drainage, and intensive land use by 1920, and then evolved to the present-day landscape of forest regrowth, intensive agriculture, urban expansion, and landscape fragmentation. Such changes alter biophysical properties that are key determinants of land-atmosphere interactions (water, energy, and carbon exchanges). To understand the potential implications of these land use transformations, we developed and analyzed 20-km land cover and biophysical parameter data sets for the eastern United States at 1650, 1850, 1920, and 1992 time slices. Our approach combined potential vegetation, county-level census data, soils data, resource statistics, a Landsat-derived land cover classification, and published historical information on land cover and land use. We reconstructed land use intensity maps for each time slice and characterized the land cover condition. We combined these land use data with a mutually consistent set of biophysical parameter classes, to characterize the historical diversity and distribution of land surface properties. Time series maps of land surface albedo, leaf area index, a deciduousness index, canopy height, surface roughness, and potential saturated soils in 1650, 1850, 1920, and 1992 illustrate the profound effects of land use change on biophysical properties of the land surface. Although much of the eastern forest has returned, the average biophysical parameters for recent landscapes remain markedly different from those of earlier periods. Understanding the consequences of these historical changes will require land-atmosphere interactions modeling experiments.","language":"English","publisher":"AGU Publications","doi":"10.1029/2006JD008277","issn":"01480227","usgsCitation":"Steyaert, L.T., and Knox, R., 2008, Reconstructed historical land cover and biophysical parameters for studies of land-atmosphere interactions within the eastern United States: Journal of Geophysical Research D: Atmospheres, v. 113, no. 2, p. 1-27, https://doi.org/10.1029/2006JD008277.","productDescription":"D02101; 27 p.","startPage":"1","endPage":"27","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":476704,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2006jd008277","text":"Publisher Index Page"},{"id":242290,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":214555,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2006JD008277"}],"volume":"113","issue":"2","noUsgsAuthors":false,"publicationDate":"2008-01-16","publicationStatus":"PW","scienceBaseUri":"50e4a24ae4b0e8fec6cdb555","contributors":{"authors":[{"text":"Steyaert, Louis T.","contributorId":24689,"corporation":false,"usgs":true,"family":"Steyaert","given":"Louis","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":441838,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Knox, R.G.","contributorId":95690,"corporation":false,"usgs":true,"family":"Knox","given":"R.G.","email":"","affiliations":[],"preferred":false,"id":441839,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70009743,"text":"70009743 - 2008 - Categorizing natural disaster damage assessment using satellite-based geospatial techniques","interactions":[],"lastModifiedDate":"2017-04-03T11:59:20","indexId":"70009743","displayToPublicDate":"2008-01-01T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2824,"text":"Natural Hazards and Earth System Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Categorizing natural disaster damage assessment using satellite-based geospatial techniques","docAbstract":"Remote sensing of a natural disaster's damage offers an exciting backup and/or alternative to traditional means of on-site damage assessment. Although necessary for complete assessment of damage areas, ground-based damage surveys conducted in the aftermath of natural hazard passage can sometimes be potentially complicated due to on-site difficulties (e.g., interaction with various authorities and emergency services) and hazards (e.g., downed power lines, gas lines, etc.), the need for rapid mobilization (particularly for remote locations), and the increasing cost of rapid physical transportation of manpower and equipment. Satellite image analysis, because of its global ubiquity, its ability for repeated independent analysis, and, as we demonstrate here, its ability to verify on-site damage assessment provides an interesting new perspective and investigative aide to researchers. Using one of the strongest tornado events in US history, the 3 May 1999 Oklahoma City Tornado, as a case example, we digitized the tornado damage path and co-registered the damage path using pre- and post-Landsat Thematic Mapper image data to perform a damage assessment. We employed several geospatial approaches, specifically the Getis index, Geary's <i>C</i>, and two lacunarity approaches to categorize damage characteristics according to the original Fujita tornado damage scale (F-scale). Our results indicate strong relationships between spatial indices computed within a local window and tornado F-scale damage categories identified through the ground survey. Consequently, linear regression models, even incorporating just a single band, appear effective in identifying F-scale damage categories using satellite imagery. This study demonstrates that satellite-based geospatial techniques can effectively add spatial perspectives to natural disaster damages, and in particular for this case study, tornado damages.","language":"English","publisher":"European Geosciences Union","doi":"10.5194/nhess-8-707-2008","issn":"15618633","usgsCitation":"Myint, S., Yuan, M., Cerveny, R., and Giri, S., 2008, Categorizing natural disaster damage assessment using satellite-based geospatial techniques: Natural Hazards and Earth System Sciences, v. 8, no. 4, p. 707-719, https://doi.org/10.5194/nhess-8-707-2008.","productDescription":"13 p.","startPage":"707","endPage":"719","numberOfPages":"13","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":476767,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/nhess-8-707-2008","text":"Publisher Index Page"},{"id":218905,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":267913,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.5194/nhess-8-707-2008"}],"volume":"8","issue":"4","noUsgsAuthors":false,"publicationDate":"2008-07-17","publicationStatus":"PW","scienceBaseUri":"5059f3cee4b0c8380cd4b98b","contributors":{"authors":[{"text":"Myint, S.W.","contributorId":18103,"corporation":false,"usgs":true,"family":"Myint","given":"S.W.","affiliations":[],"preferred":false,"id":357033,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yuan, M.","contributorId":20889,"corporation":false,"usgs":true,"family":"Yuan","given":"M.","email":"","affiliations":[],"preferred":false,"id":357035,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cerveny, R.S.","contributorId":18899,"corporation":false,"usgs":true,"family":"Cerveny","given":"R.S.","email":"","affiliations":[],"preferred":false,"id":357034,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Giri, S.","contributorId":102621,"corporation":false,"usgs":true,"family":"Giri","given":"S.","email":"","affiliations":[],"preferred":false,"id":357036,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70000000,"text":"70000000 - 2008 - Visualizing the ground motions of the 1906 San Francisco earthquake","interactions":[],"lastModifiedDate":"2017-11-27T13:12:30","indexId":"70000000","displayToPublicDate":"2008-01-01T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1315,"text":"Computers & Geosciences","printIssn":"0098-3004","active":true,"publicationSubtype":{"id":10}},"title":"Visualizing the ground motions of the 1906 San Francisco earthquake","docAbstract":"With advances in computational capabilities and refinement of seismic wave-propagation models in the past decade large three-dimensional simulations of earthquake ground motion have become possible. The resulting datasets from these simulations are multivariate, temporal and multi-terabyte in size. Past visual representations of results from seismic studies have been largely confined to static two-dimensional maps. New visual representations provide scientists with alternate ways of viewing and interacting with these results potentially leading to new and significant insight into the physical phenomena. Visualizations can also be used for pedagogic and general dissemination purposes. We present a workflow for visual representation of the data from a ground motion simulation of the great 1906 San Francisco earthquake. We have employed state of the art animation tools for visualization of the ground motions with a high degree of accuracy and visual realism. ?? 2008 Elsevier Ltd.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Computers and Geosciences","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.cageo.2008.01.012","issn":"00983004","usgsCitation":"Chourasia, A., Cutchin, S., and Aagaard, B.T., 2008, Visualizing the ground motions of the 1906 San Francisco earthquake: Computers & Geosciences, v. 34, no. 12, p. 0-0, https://doi.org/10.1016/j.cageo.2008.01.012.","startPage":"0","endPage":"0","costCenters":[],"links":[{"id":199525,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":18620,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.cageo.2008.01.012"}],"volume":"34","issue":"12","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4adfe4b07f02db687c6f","contributors":{"authors":[{"text":"Chourasia, A.","contributorId":90425,"corporation":false,"usgs":true,"family":"Chourasia","given":"A.","affiliations":[],"preferred":false,"id":344640,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cutchin, S.","contributorId":50255,"corporation":false,"usgs":true,"family":"Cutchin","given":"S.","email":"","affiliations":[],"preferred":false,"id":344639,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Aagaard, Brad T. 0000-0002-8795-9833 baagaard@usgs.gov","orcid":"https://orcid.org/0000-0002-8795-9833","contributorId":192869,"corporation":false,"usgs":true,"family":"Aagaard","given":"Brad","email":"baagaard@usgs.gov","middleInitial":"T.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":false,"id":344641,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70032019,"text":"70032019 - 2008 - Interactive visualization to advance earthquake simulation","interactions":[],"lastModifiedDate":"2018-09-19T08:55:55","indexId":"70032019","displayToPublicDate":"2008-01-01T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3208,"text":"Pure and Applied Geophysics","active":true,"publicationSubtype":{"id":10}},"title":"Interactive visualization to advance earthquake simulation","docAbstract":"The geological sciences are challenged to manage and interpret increasing volumes of data as observations and simulations increase in size and complexity. For example, simulations of earthquake-related processes typically generate complex, time-varying data sets in two or more dimensions. To facilitate interpretation and analysis of these data sets, evaluate the underlying models, and to drive future calculations, we have developed methods of interactive visualization with a special focus on using immersive virtual reality (VR) environments to interact with models of Earth's surface and interior. Virtual mapping tools allow virtual \"field studies\" in inaccessible regions. Interactive tools allow us to manipulate shapes in order to construct models of geological features for geodynamic models, while feature extraction tools support quantitative measurement of structures that emerge from numerical simulation or field observations, thereby enabling us to improve our interpretation of the dynamical processes that drive earthquakes. VR has traditionally been used primarily as a presentation tool, albeit with active navigation through data. Reaping the full intellectual benefits of immersive VR as a tool for scientific analysis requires building on the method's strengths, that is, using both 3D perception and interaction with observed or simulated data. This approach also takes advantage of the specialized skills of geological scientists who are trained to interpret, the often limited, geological and geophysical data available from field observations. ?? Birkhaueser 2008.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Pure and Applied Geophysics","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1007/s00024-008-0317-9","issn":"00334553","usgsCitation":"Kellogg, L., Bawden, G., Bernardin, T., Billen, M., Cowgill, E., Hamann, B., Jadamec, M., Kreylos, O., Staadt, O., and Sumner, D., 2008, Interactive visualization to advance earthquake simulation: Pure and Applied Geophysics, v. 165, no. 3-4, p. 621-633, https://doi.org/10.1007/s00024-008-0317-9.","startPage":"621","endPage":"633","numberOfPages":"13","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":242464,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":214715,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s00024-008-0317-9"}],"volume":"165","issue":"3-4","noUsgsAuthors":false,"publicationDate":"2008-05-14","publicationStatus":"PW","scienceBaseUri":"505a3ce3e4b0c8380cd6311e","contributors":{"authors":[{"text":"Kellogg, L.H.","contributorId":86511,"corporation":false,"usgs":true,"family":"Kellogg","given":"L.H.","email":"","affiliations":[],"preferred":false,"id":434170,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bawden, G.W.","contributorId":61139,"corporation":false,"usgs":true,"family":"Bawden","given":"G.W.","email":"","affiliations":[],"preferred":false,"id":434167,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bernardin, T.","contributorId":87353,"corporation":false,"usgs":true,"family":"Bernardin","given":"T.","email":"","affiliations":[],"preferred":false,"id":434171,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Billen, M.","contributorId":15418,"corporation":false,"usgs":true,"family":"Billen","given":"M.","email":"","affiliations":[],"preferred":false,"id":434165,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cowgill, E.","contributorId":90124,"corporation":false,"usgs":true,"family":"Cowgill","given":"E.","email":"","affiliations":[],"preferred":false,"id":434172,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hamann, B.","contributorId":25345,"corporation":false,"usgs":true,"family":"Hamann","given":"B.","email":"","affiliations":[],"preferred":false,"id":434166,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Jadamec, M.","contributorId":83326,"corporation":false,"usgs":true,"family":"Jadamec","given":"M.","email":"","affiliations":[],"preferred":false,"id":434169,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kreylos, O.","contributorId":103854,"corporation":false,"usgs":true,"family":"Kreylos","given":"O.","affiliations":[],"preferred":false,"id":434173,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Staadt, O.","contributorId":104719,"corporation":false,"usgs":true,"family":"Staadt","given":"O.","affiliations":[],"preferred":false,"id":434174,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Sumner, D.","contributorId":76562,"corporation":false,"usgs":true,"family":"Sumner","given":"D.","affiliations":[],"preferred":false,"id":434168,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70032147,"text":"70032147 - 2008 - Predicting recolonization patterns and interactions between potamodromous and anadromous salmonids in response to dam removal in the Elwha River, Washington State, USA","interactions":[],"lastModifiedDate":"2017-11-17T14:27:50","indexId":"70032147","displayToPublicDate":"2008-01-01T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2900,"text":"Northwest Science","onlineIssn":"2161-9859","printIssn":"0029-344X","active":true,"publicationSubtype":{"id":10}},"title":"Predicting recolonization patterns and interactions between potamodromous and anadromous salmonids in response to dam removal in the Elwha River, Washington State, USA","docAbstract":"The restoration of salmonids in the Elwha River following dam removal will cause interactions between anadromous and potamodromous forms as recolonization occurs in upstream and downstream directions. Anadromous salmonids are expected to recolonize historic habitats, and rainbow trout (Oncorhynchus mykiss) and bull trout (Salvelinus confluentus) isolated above the dams for 90 years are expected to reestablish anadromy. We summarized the distribution and abundance of potamodromous salmonids, determined locations of spawning areas, and mapped natural barriers to fish migration at the watershed scale based on data collected from 1993 to 2006. Rainbow trout were far more abundant than bull trout throughout the watershed and both species were distributed up to river km 71. Spawning locations for bull trout and rainbow trout occurred in areas where we anticipate returning anadromous fish to spawn. Nonnative brook trout were confined to areas between and below the dams, and seasonal velocity barriers are expected to prevent their upstream movements. We hypothesize that the extent of interaction between potamodromous and anadromous salmonids will vary spatially due to natural barriers that will limit upstream-directed recolonization for some species of salmonids. Consequently, most competitive interactions will occur in the main stem and floodplain downstream of river km 25 and in larger tributaries. Understanding future responses of Pacific salmonids after dam removal in the Elwha River depends upon an understanding of existing conditions of the salmonid community upstream of the dams prior to dam removal.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Northwest Science","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","issn":"0029344X","usgsCitation":"Brenkman, S., Pess, G., Torgersen, C., Kloehn, K., Duda, J., and Corbett, S., 2008, Predicting recolonization patterns and interactions between potamodromous and anadromous salmonids in response to dam removal in the Elwha River, Washington State, USA: Northwest Science, v. 82, no. SPEC.ISS., p. 91-106.","startPage":"91","endPage":"106","numberOfPages":"16","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":242366,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"82","issue":"SPEC.ISS.","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a81c4e4b0c8380cd7b6fe","contributors":{"authors":[{"text":"Brenkman, S.J.","contributorId":106318,"corporation":false,"usgs":true,"family":"Brenkman","given":"S.J.","affiliations":[],"preferred":false,"id":434732,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pess, G.R.","contributorId":33037,"corporation":false,"usgs":true,"family":"Pess","given":"G.R.","affiliations":[],"preferred":false,"id":434727,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Torgersen, C.E.","contributorId":34459,"corporation":false,"usgs":true,"family":"Torgersen","given":"C.E.","affiliations":[],"preferred":false,"id":434728,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kloehn, K.K.","contributorId":84995,"corporation":false,"usgs":true,"family":"Kloehn","given":"K.K.","email":"","affiliations":[],"preferred":false,"id":434730,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Duda, J.J. 0000-0001-7431-8634","orcid":"https://orcid.org/0000-0001-7431-8634","contributorId":105073,"corporation":false,"usgs":true,"family":"Duda","given":"J.J.","affiliations":[],"preferred":false,"id":434731,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Corbett, S.C.","contributorId":79318,"corporation":false,"usgs":true,"family":"Corbett","given":"S.C.","email":"","affiliations":[],"preferred":false,"id":434729,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
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