Urban development has expanded rapidly in the Tampa Bay area of west-central Florida over the past century. A major effect associated with this population trend is transformation of the landscape from natural cover types to increasingly impervious urban land. This research utilizes an innovative approach for mapping urban extent and its changes through determining impervious surfaces from Landsat satellite remote sensing data. By 2002, areas with subpixel impervious surface greater than 10% accounted for approximately 1800 km2, or 27 percent of the total watershed area. The impervious surface area increases approximately three-fold from 1991 to 2002. The resulting imperviousness data are used with a defined suite of geospatial data sets to simulate historical urban development and predict future urban and suburban extent, density, and growth patterns using SLEUTH model. Also examined is the increasingly important influence that urbanization and its associated imperviousness extent have on the individual drainage basins of the Tampa Bay watershed.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.rse.2005.04.017","issn":"00344257","usgsCitation":"Xian, G., and Crane, M., 2005, Assessments of urban growth in the Tampa Bay watershed using remote sensing data: Remote Sensing of Environment, v. 97, no. 2, p. 203-215, https://doi.org/10.1016/j.rse.2005.04.017.","productDescription":"13 p.","startPage":"203","endPage":"215","numberOfPages":"13","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":237441,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":210503,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.rse.2005.04.017"}],"volume":"97","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059ee89e4b0c8380cd49de3","contributors":{"authors":[{"text":"Xian, G. 0000-0001-5674-2204","orcid":"https://orcid.org/0000-0001-5674-2204","contributorId":65656,"corporation":false,"usgs":true,"family":"Xian","given":"G.","affiliations":[],"preferred":false,"id":422135,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Crane, M.","contributorId":86957,"corporation":false,"usgs":true,"family":"Crane","given":"M.","email":"","affiliations":[],"preferred":false,"id":422136,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70029153,"text":"70029153 - 2005 - Mapping the invasive species, Chinese tallow, with EO1 satellite Hyperion hyperspectral image data and relating tallow occurrences to a classified Landsat Thematic Mapper land cover map","interactions":[],"lastModifiedDate":"2012-03-12T17:20:54","indexId":"70029153","displayToPublicDate":"2005-01-01T00:00:00","publicationYear":"2005","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2068,"text":"International Journal of Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Mapping the invasive species, Chinese tallow, with EO1 satellite Hyperion hyperspectral image data and relating tallow occurrences to a classified Landsat Thematic Mapper land cover map","docAbstract":"Our objective was to provide a realistic and accurate representation of the spatial distribution of Chinese tallow (Triadica sebifera) in the Earth Observing 1 (EO1) Hyperion hyperspectral image coverage by using methods designed and tested in previous studies. We transformed, corrected, and normalized Hyperion reflectance image data into composition images with a subpixel extraction model. Composition images were related to green vegetation, senescent foliage and senescing cypress-tupelo forest, senescing Chinese tallow with red leaves ('red tallow'), and a composition image that only corresponded slightly to yellowing vegetation. These statistical and visual comparisons confirmed a successful portrayal of landscape features at the time of the Hyperion image collection. These landscape features were amalgamated in the Landsat Thematic Mapper (TM) pixel, thereby preventing the detection of Chinese tallow occurrences in the Landsat TM classification. With the occurrence in percentage of red tallow (as a surrogate for Chinese tallow) per pixel mapped, we were able to link dominant land covers generated with Landsat TM image data to Chinese tallow occurrences as a first step toward determining the sensitivity and susceptibility of various land covers to tallow establishment. Results suggested that the highest occurrences and widest distribution of red tallow were (1) apparent in disturbed or more open canopy woody wetland deciduous forests (including cypress-tupelo forests), upland woody land evergreen forests (dominantly pines and seedling plantations), and upland woody land deciduous and mixed forests; (2) scattered throughout the fallow fields or located along fence rows separating active and non-active cultivated and grazing fields, (3) found along levees lining the ubiquitous canals within the marsh and on the cheniers near the coastline; and (4) present within the coastal marsh located on the numerous topographic highs. ?? 2005 US Government.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"International Journal of Remote Sensing","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1080/01431160512331326701","issn":"01431161","usgsCitation":"Ramsey, E., Rangoonwala, A., Nelson, G., and Ehrlich, R., 2005, Mapping the invasive species, Chinese tallow, with EO1 satellite Hyperion hyperspectral image data and relating tallow occurrences to a classified Landsat Thematic Mapper land cover map: International Journal of Remote Sensing, v. 26, no. 8, p. 1637-1657, https://doi.org/10.1080/01431160512331326701.","startPage":"1637","endPage":"1657","numberOfPages":"21","costCenters":[],"links":[{"id":210549,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/01431160512331326701"},{"id":237505,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"26","issue":"8","noUsgsAuthors":false,"publicationDate":"2007-02-22","publicationStatus":"PW","scienceBaseUri":"505a5083e4b0c8380cd6b72e","contributors":{"authors":[{"text":"Ramsey, Elijah W. III 0000-0002-4518-5796","orcid":"https://orcid.org/0000-0002-4518-5796","contributorId":72769,"corporation":false,"usgs":true,"family":"Ramsey","given":"Elijah W.","suffix":"III","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":false,"id":421547,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rangoonwala, A. 0000-0002-0556-0598","orcid":"https://orcid.org/0000-0002-0556-0598","contributorId":95248,"corporation":false,"usgs":true,"family":"Rangoonwala","given":"A.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":false,"id":421548,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nelson, G.","contributorId":101072,"corporation":false,"usgs":true,"family":"Nelson","given":"G.","affiliations":[],"preferred":false,"id":421549,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ehrlich, R.","contributorId":72192,"corporation":false,"usgs":true,"family":"Ehrlich","given":"R.","email":"","affiliations":[],"preferred":false,"id":421546,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70028231,"text":"70028231 - 2005 - A simple and effective radiometric correction method to improve landscape change detection across sensors and across time","interactions":[],"lastModifiedDate":"2015-08-06T10:24:44","indexId":"70028231","displayToPublicDate":"2005-01-01T00:00:00","publicationYear":"2005","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3254,"text":"Remote Sensing of Environment","printIssn":"0034-4257","active":true,"publicationSubtype":{"id":10}},"title":"A simple and effective radiometric correction method to improve landscape change detection across sensors and across time","docAbstract":"Satellite data offer unrivaled utility in monitoring and quantifying large scale land cover change over time. Radiometric consistency among collocated multi-temporal imagery is difficult to maintain, however, due to variations in sensor characteristics, atmospheric conditions, solar angle, and sensor view angle that can obscure surface change detection. To detect accurate landscape change using multi-temporal images, we developed a variation of the pseudoinvariant feature (PIF) normalization scheme: the temporally invariant cluster (TIC) method. Image data were acquired on June 9, 1990 (Landsat 4), June 20, 2000 (Landsat 7), and August 26, 2001 (Landsat 7) to analyze boreal forests near the Siberian city of Krasnoyarsk using the normalized difference vegetation index (NDVI), enhanced vegetation index (EVI), and reduced simple ratio (RSR). The temporally invariant cluster (TIC) centers were identified via a point density map of collocated pixel VIs from the base image and the target image, and a normalization regression line was created to intersect all TIC centers. Target image VI values were then recalculated using the regression function so that these two images could be compared using the resulting common radiometric scale. We found that EVI was very indicative of vegetation structure because of its sensitivity to shadowing effects and could thus be used to separate conifer forests from deciduous forests and grass/crop lands. Conversely, because NDVI reduced the radiometric influence of shadow, it did not allow for distinctions among these vegetation types. After normalization, correlations of NDVI and EVI with forest leaf area index (LAI) field measurements combined for 2000 and 2001 were significantly improved; the r 2 values in these regressions rose from 0.49 to 0.69 and from 0.46 to 0.61, respectively. An EVI \"cancellation effect\" where EVI was positively related to understory greenness but negatively related to forest canopy coverage was evident across a post fire chronosequence with normalized data. These findings indicate that the TIC method provides a simple, effective and repeatable method to create radiometrically comparable data sets for remote detection of landscape change. Compared to some previous relative radiometric normalization methods, this new method does not require high level programming and statistical skills, yet remains sensitive to landscape changes occurring over seasonal and inter-annual time scales. In addition, the TIC method maintains sensitivity to subtle changes in vegetation phenology and enables normalization even when invariant features are rare. While this normalization method allowed detection of a range of land use, land cover, and phenological/biophysical changes in the Siberian boreal forest region studied here, it is necessary to further examine images representing a wide variety of ecoregions to thoroughly evaluate the TIC method against other normalization schemes. ?? 2005 Elsevier Inc. All rights reserved.
","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Remote Sensing of Environment","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.rse.2005.05.021","issn":"00344257","usgsCitation":"Chen, X., Vierling, L., and Deering, D., 2005, A simple and effective radiometric correction method to improve landscape change detection across sensors and across time: Remote Sensing of Environment, v. 98, no. 1, p. 63-79, https://doi.org/10.1016/j.rse.2005.05.021.","startPage":"63","endPage":"79","numberOfPages":"17","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":237199,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":210314,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.rse.2005.05.021"}],"volume":"98","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059e58be4b0c8380cd46df4","contributors":{"authors":[{"text":"Chen, X.","contributorId":76527,"corporation":false,"usgs":true,"family":"Chen","given":"X.","affiliations":[],"preferred":false,"id":417153,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Vierling, Lee","contributorId":17022,"corporation":false,"usgs":true,"family":"Vierling","given":"Lee","affiliations":[],"preferred":false,"id":417151,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Deering, D.","contributorId":69352,"corporation":false,"usgs":true,"family":"Deering","given":"D.","email":"","affiliations":[],"preferred":false,"id":417152,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70027950,"text":"70027950 - 2005 - Mapping impervious surface type and sub-pixel abundance using Hyperion hyperspectral imagery","interactions":[],"lastModifiedDate":"2022-05-23T19:52:38.016758","indexId":"70027950","displayToPublicDate":"2005-01-01T00:00:00","publicationYear":"2005","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1753,"text":"Geocarto International","active":true,"publicationSubtype":{"id":10}},"title":"Mapping impervious surface type and sub-pixel abundance using Hyperion hyperspectral imagery","docAbstract":"Impervious surfaces have been identified as an important and quantifiable indicator of environmental degradation in urban settings. A number of research efforts have been directed at mapping impervious surface type using multispectral imagery. To date, however, no studies have compared equivalent techniques using multispectral and hyperspectral imagery to that end. In this study, data from NASA's 220‐channel Hyperion instrument were used to: a) delineate three types of impervious surface, and b) map sub‐pixel percent abundance for a study site near Washington, D.C., USA. The results were compared with the results of similar methods using same‐spatial‐resolution Landsat ETM+ data for mapping impervious surface type, and with the results of the U.S. Geological Survey's National Land Cover Data (NLCD) 2001 impervious surface data layer, which is derived from Landsat and high‐resolution Ikonos data. The accuracy of discriminating impervious surface type using Hyperion data was assessed at 88% versus Landsat at 59%. The sub‐pixel percent impervious map corresponded well with the NLCD 2001; impervious surface in the study area was calculated at 29.3% for NLCD 2001 and 28.4% for the Hyperion‐derived layer. The results suggest that fairly simple techniques using hyperspectral data are effective for quantifying impervious surface type, and that high‐spectral‐resolution imagery may be a good alternative to high‐spatial‐resolution data.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/10106040508542358","usgsCitation":"Falcone, J.A., and Gomez, R., 2005, Mapping impervious surface type and sub-pixel abundance using Hyperion hyperspectral imagery: Geocarto International, v. 20, no. 4, p. 3-10, https://doi.org/10.1080/10106040508542358.","productDescription":"8 p.","startPage":"3","endPage":"10","numberOfPages":"8","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":237077,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"20","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a505be4b0c8380cd6b638","contributors":{"authors":[{"text":"Falcone, James A. 0000-0001-7202-3592 jfalcone@usgs.gov","orcid":"https://orcid.org/0000-0001-7202-3592","contributorId":614,"corporation":false,"usgs":true,"family":"Falcone","given":"James","email":"jfalcone@usgs.gov","middleInitial":"A.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":415892,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gomez, R.","contributorId":14183,"corporation":false,"usgs":true,"family":"Gomez","given":"R.","email":"","affiliations":[],"preferred":false,"id":415893,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70027778,"text":"70027778 - 2005 - Mapping and improving frequency, accuracy, and interpretation of land cover change: Classifying coastal Louisiana with 1990, 1993, 1996, and 1999 Landsat Thematic Mapper image data","interactions":[],"lastModifiedDate":"2012-03-12T17:21:18","indexId":"70027778","displayToPublicDate":"2005-01-01T00:00:00","publicationYear":"2005","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Mapping and improving frequency, accuracy, and interpretation of land cover change: Classifying coastal Louisiana with 1990, 1993, 1996, and 1999 Landsat Thematic Mapper image data","docAbstract":"Landsat Thematic Mapper images and collateral data sources were used to classify the land cover of the Mermentau River Basin within the chenier coastal plain and the adjacent uplands of Louisiana, USA. Landcover classes followed that of the National Oceanic and Atmospheric Administration's Coastal Change Analysis Program; however, classification methods needed to be developed to meet these national standards. Our first classification was limited to the Mermentau River Basin (MRB) in southcentral Louisiana, and the years of 1990, 1993, and 1996. To overcome problems due to class spectral inseparable, spatial and spectra continuums, mixed landcovers, and abnormal transitions, we separated the coastal area into regions of commonality and applying masks to specific land mixtures. Over the three years and 14 landcover classes (aggregating the cultivated land and grassland, and water and floating vegetation classes), overall accuracies ranged from 82% to 90%. To enhance landcover change interpretation, three indicators were introduced as Location Stability, Residence stability, and Turnover. Implementing methods substantiated in the multiple date MRB classification, we spatially extended the classification to the entire Louisiana coast and temporally extended the original 1990, 1993, 1996 classifications to 1999 (Figure 1). We also advanced the operational functionality of the classification and increased the credibility of change detection results. Increased operational functionality that resulted in diminished user input was for the most part gained by implementing a classification logic based on forbidden transitions. The logic detected and corrected misclassifications and mostly alleviated the necessity of subregion separation prior to the classification. The new methods provided an improved ability for more timely detection and response to landcover impact. ?? 2005 IEEE.","largerWorkTitle":"Proceedings of the Third International Workshop on the Analysis of Multi-Temporal Remote Sensing Images 2005","conferenceTitle":"3rd International Workshop on the Analysis of Multi-Temporal Remote Sensing Images 2005","conferenceDate":"16 May 2005 through 18 May 2005","conferenceLocation":"Biloxi, MS","language":"English","doi":"10.1109/AMTRSI.2005.1469881","isbn":"0780391187; 9780780391185","usgsCitation":"Nelson, G., Ramsey, E., and Rangoonwala, A., 2005, Mapping and improving frequency, accuracy, and interpretation of land cover change: Classifying coastal Louisiana with 1990, 1993, 1996, and 1999 Landsat Thematic Mapper image data, in Proceedings of the Third International Workshop on the Analysis of Multi-Temporal Remote Sensing Images 2005, v. 2005, Biloxi, MS, 16 May 2005 through 18 May 2005, p. 241-243, https://doi.org/10.1109/AMTRSI.2005.1469881.","startPage":"241","endPage":"243","numberOfPages":"3","costCenters":[],"links":[{"id":211178,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1109/AMTRSI.2005.1469881"},{"id":238395,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"2005","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a504ee4b0c8380cd6b5c4","contributors":{"authors":[{"text":"Nelson, G.","contributorId":101072,"corporation":false,"usgs":true,"family":"Nelson","given":"G.","affiliations":[],"preferred":false,"id":415176,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ramsey, Elijah W. III 0000-0002-4518-5796","orcid":"https://orcid.org/0000-0002-4518-5796","contributorId":72769,"corporation":false,"usgs":true,"family":"Ramsey","given":"Elijah W.","suffix":"III","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":false,"id":415174,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rangoonwala, A. 0000-0002-0556-0598","orcid":"https://orcid.org/0000-0002-0556-0598","contributorId":95248,"corporation":false,"usgs":true,"family":"Rangoonwala","given":"A.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":false,"id":415175,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70027359,"text":"70027359 - 2005 - A neural network approach for enhancing information extraction from multispectral image data","interactions":[],"lastModifiedDate":"2015-08-25T11:04:14","indexId":"70027359","displayToPublicDate":"2005-01-01T00:00:00","publicationYear":"2005","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1175,"text":"Canadian Journal of Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"A neural network approach for enhancing information extraction from multispectral image data","docAbstract":"A back-propagation artificial neural network (ANN) was applied to classify multispectral remote sensing imagery data. The classification procedure included four steps: (i) noisy training that adds minor random variations to the sampling data to make the data more representative and to reduce the training sample size; (ii) iterative or multi-tier classification that reclassifies the unclassified pixels by making a subset of training samples from the original training set, which means the neural model can focus on fewer classes; (iii) spectral channel selection based on neural network weights that can distinguish the relative importance of each channel in the classification process to simplify the ANN model; and (iv) voting rules that adjust the accuracy of classification and produce outputs of different confidence levels. The Purdue Forest, located west of Purdue University, West Lafayette, Indiana, was chosen as the test site. The 1992 Landsat thematic mapper imagery was used as the input data. High-quality airborne photographs of the same Lime period were used for the ground truth. A total of 11 land use and land cover classes were defined, including water, broadleaved forest, coniferous forest, young forest, urban and road, and six types of cropland-grassland. The experiment, indicated that the back-propagation neural network application was satisfactory in distinguishing different land cover types at US Geological Survey levels II-III. The single-tier classification reached an overall accuracy of 85%. and the multi-tier classification an overall accuracy of 95%. For the whole test, region, the final output of this study reached an overall accuracy of 87%. ?? 2005 CASI.
","language":"English","publisher":"Canadian Aeronautics and Space Institute","doi":"10.5589/m05-027","issn":"07038992","usgsCitation":"Liu, J., Shao, G., Zhu, H., and Liu, S., 2005, A neural network approach for enhancing information extraction from multispectral image data: Canadian Journal of Remote Sensing, v. 31, no. 6, p. 432-438, https://doi.org/10.5589/m05-027.","productDescription":"7 p.","startPage":"432","endPage":"438","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":238154,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"31","issue":"6","noUsgsAuthors":false,"publicationDate":"2014-06-02","publicationStatus":"PW","scienceBaseUri":"5059e497e4b0c8380cd46748","contributors":{"authors":[{"text":"Liu, J.","contributorId":23672,"corporation":false,"usgs":false,"family":"Liu","given":"J.","affiliations":[],"preferred":false,"id":413320,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shao, G.","contributorId":43561,"corporation":false,"usgs":true,"family":"Shao","given":"G.","email":"","affiliations":[],"preferred":false,"id":413321,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zhu, H.","contributorId":16642,"corporation":false,"usgs":true,"family":"Zhu","given":"H.","email":"","affiliations":[],"preferred":false,"id":413319,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Liu, S.","contributorId":93170,"corporation":false,"usgs":true,"family":"Liu","given":"S.","affiliations":[],"preferred":false,"id":413322,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70027302,"text":"70027302 - 2005 - DEM, tide and velocity over sulzberger ice shelf, West Antarctica","interactions":[],"lastModifiedDate":"2022-05-13T16:42:40.515021","indexId":"70027302","displayToPublicDate":"2005-01-01T00:00:00","publicationYear":"2005","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"DEM, tide and velocity over sulzberger ice shelf, West Antarctica","docAbstract":"Arctic and Antarctic ice sheets preserve more than 77% of the global fresh water and could raise global sea level by several meters if completely melted. Ocean tides near and under ice shelves shifts the grounding line position significantly and are one of current limitations to study glacier dynamics and mass balance. The Sulzberger ice shelf is an area of ice mass flux change in West Antarctica and has not yet been well studied. In this study, we use repeat-pass synthetic aperture radar (SAR) interferometry data from the ERS-1 and ERS-2 tandem missions for generation of a high-resolution (60-m) Digital Elevation Model (DEM) including tidal deformation detection and ice stream velocity of the Sulzberger Ice Shelf. Other satellite data such as laser altimeter measurements with fine foot-prints (70-m) from NASA's ICESat are used for validation and analyses. The resulting DEM has an accuracy of-0.57??5.88 m and is demonstrated to be useful for grounding line detection and ice mass balance studies. The deformation observed by InSAR is found to be primarily due to ocean tides and atmospheric pressure. The 2-D ice stream velocities computed agree qualitatively with previous methods on part of the Ice Shelf from passive microwave remote-sensing data (i.e., LANDSAT). ?? 2005 IEEE.","largerWorkTitle":"International Geoscience and Remote Sensing Symposium (IGARSS) proceedings","conferenceTitle":"2005 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2005","conferenceDate":"Jul 25-29, 2005","conferenceLocation":"Seoul, south Korea","language":"English","doi":"10.1109/IGARSS.2005.1525630","usgsCitation":"Baek, S., Shum, C., Lee, H., Yi, Y., Kwoun, O., Lu, Z., and Braun, A., 2005, DEM, tide and velocity over sulzberger ice shelf, West Antarctica, in International Geoscience and Remote Sensing Symposium (IGARSS) proceedings, v. 4, Seoul, south Korea, Jul 25-29, 2005, p. 2726-2728, https://doi.org/10.1109/IGARSS.2005.1525630.","productDescription":"3 p.","startPage":"2726","endPage":"2728","numberOfPages":"3","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":235638,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Antarctica, Sulzberger Ice Shelf","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -154.105224609375,\n -77.65299700291865\n ],\n [\n -151.094970703125,\n -77.65299700291865\n ],\n [\n -151.094970703125,\n -76.92309950187344\n ],\n [\n -154.105224609375,\n -76.92309950187344\n ],\n [\n -154.105224609375,\n -77.65299700291865\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059fd40e4b0c8380cd4e6fe","contributors":{"authors":[{"text":"Baek, S.","contributorId":39557,"corporation":false,"usgs":true,"family":"Baek","given":"S.","email":"","affiliations":[],"preferred":false,"id":413099,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shum, C. K.","contributorId":85373,"corporation":false,"usgs":true,"family":"Shum","given":"C. 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Melting of the West Antarctic part alone of the Antarctic ice sheet could cause a sea-level rise of approximately 6 meters (m). The potential sea-level rise after melting of the entire Antarctic ice sheet is estimated to be 65 m (Lythe and others, 2001) to 73 m (Williams and Hall, 1993). In spite of its importance, the mass balance (the net volumetric gain or loss) of the Antarctic ice sheet is poorly known; it is not known for certain whether the ice sheet is growing or shrinking. In a review paper, Rignot and Thomas (2002) concluded that the West Antarctic part of the Antarctic ice sheet is probably becoming thinner overall; although the western part is thickening, the northern part is thinning. Joughin and Tulaczyk (2002), based on analysis of ice-flow velocities derived from synthetic aperture radar, concluded that most of the Ross ice streams (ice streams on the east side of the Ross Ice Shelf) have a positive mass balance. The mass balance of the East Antarctic is unknown, but thought to be in near equilibrium.\n\nMeasurement of changes in area and mass balance of the Antarctic ice sheet was given a very high priority in recommendations by the Polar Research Board of the National Research Council (1986), in subsequent recommendations by the Scientific Committee on Antarctic Research (SCAR) (1989, 1993), and by the National Science Foundation's (1990) Division of Polar Programs. On the basis of these recommendations, the U.S. Geological Survey (USGS) decided that the archive of early 1970s Landsat 1, 2, and 3 Multispectral Scanner (MSS) images of Antarctica and the subsequent repeat coverage made possible with Landsat and other satellite images provided an excellent means of documenting changes in the coastline of Antarctica (Ferrigno and Gould, 1987). The availability of this information provided the impetus for carrying out a comprehensive analysis of the glaciological features of the coastal regions and changes in ice fronts of Antarctica (Swithinbank, 1988; Williams and Ferrigno, 1988). The project was later modified to include Landsat 4 and 5 MSS and Thematic Mapper (TM) (and in some areas Landsat 7 Enhanced Thematic Mapper Plus (ETM+)), RADARSAT images, and other data where available, to compare changes over a 20- to 25- or 30-year time interval (or longer where data were available, as in the Antarctic Peninsula). The results of the analysis are being used to produce a digital database and a series of USGS Geologic Investigations Series Maps consisting of 24 maps at 1:1,000,000 scale and 1 map at 1:5,000,000 scale, in both paper and digital format (Williams and others, 1995; Williams and Ferrigno, 1998; and Ferrigno and others, 2002).","language":"ENGLISH","doi":"10.3133/i2600","usgsCitation":"Williams, R.S., 2004, Coastal-change and glaciological maps of Antarctica: U.S. Geological Survey IMAP 2600, Variously paginated, https://doi.org/10.3133/i2600.","productDescription":"Variously paginated","costCenters":[],"links":[{"id":192406,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/i2600.png"},{"id":8351,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/imap/2600/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4779e4b07f02db47f0af","contributors":{"authors":[{"text":"Williams, Richard S. Jr.,(compiler)","contributorId":96364,"corporation":false,"usgs":true,"family":"Williams","given":"Richard","suffix":"Jr.,(compiler)","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":288506,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70267,"text":"i2600E - 2004 - Coastal-change and glaciological map of the Eights Coast area, Antarctica, 1972-2001","interactions":[],"lastModifiedDate":"2012-02-10T00:11:31","indexId":"i2600E","displayToPublicDate":"2005-03-21T00:00:00","publicationYear":"2004","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":320,"text":"IMAP","code":"I","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"2600","chapter":"E","title":"Coastal-change and glaciological map of the Eights Coast area, Antarctica, 1972-2001","docAbstract":"Changes in the area and volume of polar ice sheets are intricately linked to changes in global climate, and the resulting changes in sea level may severely impact the densely populated coastal regions on Earth. Melting of the West Antarctic part alone of the Antarctic ice sheet could cause a sea-level rise of approximately 6 meters (m). The potential sea-level rise after melting of the entire Antarctic ice sheet is estimated to be 65 m (Lythe and others, 2001) to 73 m (Williams and Hall, 1993). In spite of its importance, the mass balance (the net volumetric gain or loss) of the Antarctic ice sheet is poorly known; it is not known for certain whether the ice sheet is growing or shrinking. In a review paper, Rignot and Thomas (2002) concluded that the West Antarctic part of the Antarctic ice sheet is probably becoming thinner overall; although the western part is thickening, the northern part is thinning. Joughin and Tulaczyk (2002), based on analysis of ice-flow velocities derived from synthetic aperture radar, concluded that most of the Ross ice streams (ice streams on the east side of the Ross Ice Shelf) have a positive mass balance. The mass balance of the East Antarctic is unknown, but thought to be in near equilibrium.\r\n\r\nMeasurement of changes in area and mass balance of the Antarctic ice sheet was given a very high priority in recommendations by the Polar Research Board of the National Research Council (1986), in subsequent recommendations by the Scientific Committee on Antarctic Research (SCAR) (1989, 1993), and by the National Science Foundation's (1990) Division of Polar Programs. On the basis of these recommendations, the U.S. Geological Survey (USGS) decided that the archive of early 1970s Landsat 1, 2, and 3 Multispectral Scanner (MSS) images of Antarctica and the subsequent repeat coverage made possible with Landsat and other satellite images provided an excellent means of documenting changes in the coastline of Antarctica (Ferrigno and Gould, 1987). The availability of this information provided the impetus for carrying out a comprehensive analysis of the glaciological features of the coastal regions and changes in ice fronts of Antarctica (Swithinbank, 1988; Williams and Ferrigno, 1988). The project was later modified to include Landsat 4 and 5 MSS and Thematic Mapper (TM) (and in some areas Landsat 7 Enhanced Thematic Mapper Plus (ETM+)), RADARSAT images, and other data where available, to compare changes over a 20- to 25- or 30-year time interval (or longer where data were available, as in the Antarctic Peninsula). The results of the analysis are being used to produce a digital database and a series of USGS Geologic Investigations Series Maps consisting of 24 maps at 1:1,000,000 scale and 1 map at 1:5,000,000 scale, in both paper and digital format (Williams and others, 1995; Williams and Ferrigno, 1998; and Ferrigno and others, 2002).","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Coastal-change and glaciological maps of Antarctica","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"ENGLISH","doi":"10.3133/i2600E","isbn":"0607975482","usgsCitation":"Swithinbank, C., Williams, R., Ferrigno, J.G., Foley, K.M., Rosanova, C.E., and Dailide, L.M., 2004, Coastal-change and glaciological map of the Eights Coast area, Antarctica, 1972-2001 (Version 1.0): U.S. Geological Survey IMAP 2600, 11 p. pamphlet and 1 sheet, https://doi.org/10.3133/i2600E.","productDescription":"11 p. pamphlet and 1 sheet","temporalStart":"1972-01-01","temporalEnd":"2001-12-31","costCenters":[],"links":[{"id":186009,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":6960,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/imap/2600/E/","linkFileType":{"id":5,"text":"html"}}],"scale":"1000000","projection":"Polar stereographic, MSL","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -104,-76 ], [ -104,-71 ], [ -80,-71 ], [ -80,-76 ], [ -104,-76 ] ] ] } } ] }","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b24e4b07f02db6aea3b","contributors":{"authors":[{"text":"Swithinbank, Charles","contributorId":26368,"corporation":false,"usgs":true,"family":"Swithinbank","given":"Charles","email":"","affiliations":[],"preferred":false,"id":282079,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Williams, Richard S. 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","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Mountains of data, peak decisions","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"American Society for Photogrammetry and Remote Sensing","usgsCitation":"Dykstra, J., and Storey, J.C., 2004, Landsat-7 definitive ephemeris: An independent verification of GeoCover-Ortho 1990 positional accuracy, in Mountains of data, peak decisions, 10 p.","productDescription":"10 p.","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":481777,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Dykstra, Jon D.","contributorId":350689,"corporation":false,"usgs":false,"family":"Dykstra","given":"Jon D.","affiliations":[],"preferred":false,"id":926649,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Storey, James C. 0000-0002-6664-7232 storey@usgs.gov","orcid":"https://orcid.org/0000-0002-6664-7232","contributorId":5333,"corporation":false,"usgs":true,"family":"Storey","given":"James","email":"storey@usgs.gov","middleInitial":"C.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":926650,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70157493,"text":"70157493 - 2004 - Foreword to the special issue on Landsat sensor performance characterization","interactions":[],"lastModifiedDate":"2015-09-24T14:53:36","indexId":"70157493","displayToPublicDate":"2004-12-01T00:00:00","publicationYear":"2004","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1944,"text":"IEEE Transactions on Geoscience and Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Foreword to the special issue on Landsat sensor performance characterization","docAbstract":"No abstract available.
","language":"English","publisher":"IEEE","doi":"10.1109/TGRS.2004.841174","usgsCitation":"Markham, B.L., Crawford, M.M., Goodenough, D., and Irons, J.R., 2004, Foreword to the special issue on Landsat sensor performance characterization: IEEE Transactions on Geoscience and Remote Sensing, v. 42, no. 12, p. 2687-2689, https://doi.org/10.1109/TGRS.2004.841174.","productDescription":"3 p.","startPage":"2687","endPage":"2689","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":308553,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"42","issue":"12","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56051ebfe4b058f706e512c2","contributors":{"authors":[{"text":"Markham, B. L.","contributorId":88872,"corporation":false,"usgs":true,"family":"Markham","given":"B.","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":573319,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Crawford, M. M.","contributorId":21660,"corporation":false,"usgs":true,"family":"Crawford","given":"M.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":573320,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Goodenough, D.G.","contributorId":103065,"corporation":false,"usgs":true,"family":"Goodenough","given":"D.G.","email":"","affiliations":[],"preferred":false,"id":573321,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Irons, J. R.","contributorId":67694,"corporation":false,"usgs":true,"family":"Irons","given":"J.","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":573322,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70159350,"text":"70159350 - 2004 - Landsat-5 bumper-mode geometric correction","interactions":[],"lastModifiedDate":"2015-10-22T13:11:07","indexId":"70159350","displayToPublicDate":"2004-12-01T00:00:00","publicationYear":"2004","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1944,"text":"IEEE Transactions on Geoscience and Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Landsat-5 bumper-mode geometric correction","docAbstract":"The Landsat-5 Thematic Mapper (TM) scan mirror was switched from its primary operating mode to a backup mode in early 2002 in order to overcome internal synchronization problems arising from long-term wear of the scan mirror mechanism. The backup bumper mode of operation removes the constraints on scan start and stop angles enforced in the primary scan angle monitor operating mode, requiring additional geometric calibration effort to monitor the active scan angles. It also eliminates scan timing telemetry used to correct the TM scan geometry. These differences require changes to the geometric correction algorithms used to process TM data. A mathematical model of the scan mirror's behavior when operating in bumper mode was developed. This model includes a set of key timing parameters that characterize the time-varying behavior of the scan mirror bumpers. To simplify the implementation of the bumper-mode model, the bumper timing parameters were recast in terms of the calibration and telemetry data items used to process normal TM imagery. The resulting geometric performance, evaluated over 18 months of bumper-mode operations, though slightly reduced from that achievable in the primary operating mode, is still within the Landsat specifications when the data are processed with the most up-to-date calibration parameters.
","language":"English","publisher":"IEEE","doi":"10.1109/TGRS.2004.836390","usgsCitation":"Storey, J.C., and Choate, M., 2004, Landsat-5 bumper-mode geometric correction: IEEE Transactions on Geoscience and Remote Sensing, v. 42, no. 12, p. 2695-2703, https://doi.org/10.1109/TGRS.2004.836390.","productDescription":"9 p.","startPage":"2695","endPage":"2703","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":310500,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"42","issue":"12","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"562a08d5e4b011227bf1fd7f","contributors":{"authors":[{"text":"Storey, James C. 0000-0002-6664-7232","orcid":"https://orcid.org/0000-0002-6664-7232","contributorId":35505,"corporation":false,"usgs":true,"family":"Storey","given":"James","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":578123,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Choate, Mike 0000-0002-8101-4994 choate@usgs.gov","orcid":"https://orcid.org/0000-0002-8101-4994","contributorId":4618,"corporation":false,"usgs":true,"family":"Choate","given":"Mike","email":"choate@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":578124,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70157498,"text":"70157498 - 2004 - Landsat-7 ETM+ on-orbit reflective-band radiometric stability and absolute calibration","interactions":[],"lastModifiedDate":"2015-09-24T15:47:09","indexId":"70157498","displayToPublicDate":"2004-12-01T00:00:00","publicationYear":"2004","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1944,"text":"IEEE Transactions on Geoscience and Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Landsat-7 ETM+ on-orbit reflective-band radiometric stability and absolute calibration","docAbstract":"Launched in April 1999, the Landsat-7 Enhanced Thematic Mapper Plus (ETM+) instrument is in its sixth year of operation. The ETM+ instrument has been the most stable of any of the Landsat instruments. To date, the best onboard calibration source for the reflective bands has been the Full Aperture Solar Calibrator, a solar-diffuser-based system, which has indicated changes of between 1% to 2% per year in the ETM+ gain for bands 1-4 and 8 and less than 0.5%/year for bands 5 and 7. However, most of this change is believed to be caused by changes in the solar diffuser panel, as opposed to a change in the instrument's gain. This belief is based partially on vicarious calibrations and observations of \"invariant sites\", hyperarid sites of the Sahara and Arabia. Weighted average slopes determined from these datasets suggest changes of 0.0% to 0.4% per year for bands 1-4 and 8 and 0.4% to 0.5% per year for bands 5 and 7. Absolute calibration of the reflective bands of the ETM+ is consistent with vicarious observations and other sensors generally at the 5% level, though there appear to be some systematic differences.
","language":"English","publisher":"IEEE","doi":"10.1109/TGRS.2004.836389","usgsCitation":"Markham, B.L., Thome, K.J., Barsi, J., Kaita, E., Helder, D.L., Barker, J.L., and Scaramuzza, P., 2004, Landsat-7 ETM+ on-orbit reflective-band radiometric stability and absolute calibration: IEEE Transactions on Geoscience and Remote Sensing, v. 42, no. 12, p. 2810-2820, https://doi.org/10.1109/TGRS.2004.836389.","productDescription":"11 p.","startPage":"2810","endPage":"2820","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":478008,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/2060/20040021395","text":"External Repository"},{"id":308570,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"42","issue":"12","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56051ecde4b058f706e512e5","contributors":{"authors":[{"text":"Markham, B. L.","contributorId":88872,"corporation":false,"usgs":true,"family":"Markham","given":"B.","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":573338,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thome, K. J.","contributorId":88099,"corporation":false,"usgs":true,"family":"Thome","given":"K.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":573339,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barsi, J. A.","contributorId":24085,"corporation":false,"usgs":true,"family":"Barsi","given":"J. A.","affiliations":[],"preferred":false,"id":573340,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kaita, E.","contributorId":73777,"corporation":false,"usgs":true,"family":"Kaita","given":"E.","email":"","affiliations":[],"preferred":false,"id":573341,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Helder, Dennis L.","contributorId":105613,"corporation":false,"usgs":true,"family":"Helder","given":"Dennis","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":573342,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Barker, J. L.","contributorId":115996,"corporation":false,"usgs":true,"family":"Barker","given":"J.","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":573343,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Scaramuzza, Pat 0000-0002-2616-8456 pscar@usgs.gov","orcid":"https://orcid.org/0000-0002-2616-8456","contributorId":3970,"corporation":false,"usgs":true,"family":"Scaramuzza","given":"Pat","email":"pscar@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":573344,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70157495,"text":"70157495 - 2004 - Landsat sensor performance: history and current status","interactions":[],"lastModifiedDate":"2015-09-24T15:12:22","indexId":"70157495","displayToPublicDate":"2004-12-01T00:00:00","publicationYear":"2004","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1944,"text":"IEEE Transactions on Geoscience and Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Landsat sensor performance: history and current status","docAbstract":"The current Thematic Mapper (TM) class of Landsat sensors began with Landsat-4, which was launched in 1982. This series continued with the nearly identical sensor on Landsat-5, launched in 1984. The final sensor in the series was the Landsat-7 Enhanced Thematic Mapper Plus (ETM+), which was carried into orbit in 1999. Varying degrees of effort have been devoted to the characterization of these instruments and data over the past 22 years. Extensive short-lived efforts early in the history, very limited efforts in the middle years, and now a systematic program for continuing characterization of all three systems are apparent. Currently, both the Landsat-5 TM and the Landsat-7 ETM+ are operational and providing data. Despite 20+ years of operation, the TM on Landsat-5 is fully functional, although downlinks for the data are limited. Landsat-7 ETM+ experienced a failure of its Scan Line Corrector mechanism in May 2003. Although there are gaps in the data coverage, the data remain of equivalent quality to prefailure data. Data products have been developed to fill these gaps using other ETM+ scenes.
","language":"English","publisher":"IEEE","doi":"10.1109/TGRS.2004.840720","usgsCitation":"Markham, B.L., Storey, J.C., Williams, D.L., and Irons, J.R., 2004, Landsat sensor performance: history and current status: IEEE Transactions on Geoscience and Remote Sensing, v. 42, no. 12, p. 2691-2694, https://doi.org/10.1109/TGRS.2004.840720.","productDescription":"4 p.","startPage":"2691","endPage":"2694","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":308558,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"42","issue":"12","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56051ecde4b058f706e512e3","contributors":{"authors":[{"text":"Markham, B. L.","contributorId":88872,"corporation":false,"usgs":true,"family":"Markham","given":"B.","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":573327,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Storey, James C. 0000-0002-6664-7232 storey@usgs.gov","orcid":"https://orcid.org/0000-0002-6664-7232","contributorId":5333,"corporation":false,"usgs":true,"family":"Storey","given":"James","email":"storey@usgs.gov","middleInitial":"C.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":573328,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Williams, Darrel L.","contributorId":20627,"corporation":false,"usgs":true,"family":"Williams","given":"Darrel","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":573329,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Irons, J. R.","contributorId":67694,"corporation":false,"usgs":true,"family":"Irons","given":"J.","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":573330,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":58124,"text":"sir20045155 - 2004 - Estimates of natural ground-water discharge and characterization of water quality in Dry Valley, Washoe County, West-Central Nevada, 2002-2003","interactions":[],"lastModifiedDate":"2012-02-02T00:12:21","indexId":"sir20045155","displayToPublicDate":"2004-11-01T00:00:00","publicationYear":"2004","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":"2004-5155","title":"Estimates of natural ground-water discharge and characterization of water quality in Dry Valley, Washoe County, West-Central Nevada, 2002-2003","docAbstract":"The Dry Valley Hydrographic Area is being considered as a potential source area for additional water supplies for the Reno-Sparks area, which is about 25 miles south of Dry Valley. Current estimates of annual ground-water recharge to Dry Valley have a considerable range. In undeveloped valleys, such as Dry Valley, long-term ground-water discharge can be assumed the same as long-term ground-water recharge. Because estimating ground-water discharge has more certainty than estimating ground-water recharge from precipitation, the U.S. Geological Survey, in cooperation with Washoe County, began a three-year study to re-evaluate the ground-water resources by estimating natural ground-water discharge and characterize ground-water quality in Dry Valley. \r\n\r\nIn Dry Valley, natural ground-water discharge occurs as subsurface outflow and by ground-water evapotranspiration. The amount of subsurface outflow from the upper part of Dry Valley to Winnemucca and Honey Lake Valleys likely is small. Subsurface outflow from Dry Valley westward to Long Valley, California was estimated using Darcy's Law. Analysis of two aquifer tests show the transmissivity of poorly sorted sediments near the western side of Dry Valley is 1,200 to 1,500 square feet per day. The width of unconsolidated sediments is about 4,000 feet between exposures of tuffaceous deposits along the State line, and decreases to about 1,500 feet (0.5 mile) west of the State line. The hydraulic gradient east and west of the State line ranges from 0.003 to 0.005 foot per foot. Using these values, subsurface outflow to Long Valley is estimated to be 50 to 250 acre-feet per year.\r\n\r\nAreas of ground-water evapotranspiration were field mapped and partitioned into zones of plant cover using relations derived from Landsat imagery acquired July 8, 2002. Evapotranspiration rates for each plant-cover zone were multiplied by the corresponding area and summed to estimate annual ground-water evapotranspiration. About 640 to 790 acre-feet per year of ground water is lost to evapotranspiration in Dry Valley. Combining subsurface-outflow estimates with ground-water evapotranspiration estimates, total natural ground-water discharge from Dry Valley ranges from a minimum of about 700 acre-feet to a maximum of about 1,000 acre-feet annually. \r\n\r\nWater quality in Dry Valley generally is good and primary drinking-water standards were not exceeded in any samples collected. The secondary standard for manganese was exceeded in three ground-water samples. One spring sample and two surface-water samples exceeded the secondary standard for pH. Dry Valley has two primary types of water chemistry that are distinguishable by cation ratios and related to the two volcanic-rock units that make up much of the surrounding mountains. In addition, two secondary types of water chemistry appear to have evolved by evaporation of the primary water types. Ground water near the State line appears to be an equal mixture of the two primary water chemistries and has as an isotopic characteristic similar to evaporated surface water.","language":"ENGLISH","doi":"10.3133/sir20045155","usgsCitation":"Berger, D.L., Maurer, D.K., Lopes, T.J., and Halford, K.J., 2004, Estimates of natural ground-water discharge and characterization of water quality in Dry Valley, Washoe County, West-Central Nevada, 2002-2003: U.S. Geological Survey Scientific Investigations Report 2004-5155, 46 p., https://doi.org/10.3133/sir20045155.","productDescription":"46 p.","costCenters":[],"links":[{"id":5745,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.water.usgs.gov/sir2004-5155/","linkFileType":{"id":5,"text":"html"}},{"id":185148,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"}],"scale":"48","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a0ce4b07f02db5fca78","contributors":{"authors":[{"text":"Berger, David L. dlberger@usgs.gov","contributorId":1861,"corporation":false,"usgs":true,"family":"Berger","given":"David","email":"dlberger@usgs.gov","middleInitial":"L.","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":258366,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Maurer, Douglas K. dkmaurer@usgs.gov","contributorId":2308,"corporation":false,"usgs":true,"family":"Maurer","given":"Douglas","email":"dkmaurer@usgs.gov","middleInitial":"K.","affiliations":[],"preferred":true,"id":258368,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lopes, Thomas J. tjlopes@usgs.gov","contributorId":2302,"corporation":false,"usgs":true,"family":"Lopes","given":"Thomas","email":"tjlopes@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":true,"id":258367,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Halford, Keith J. 0000-0002-7322-1846 khalford@usgs.gov","orcid":"https://orcid.org/0000-0002-7322-1846","contributorId":1374,"corporation":false,"usgs":true,"family":"Halford","given":"Keith","email":"khalford@usgs.gov","middleInitial":"J.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":258365,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":69812,"text":"sim2848 - 2004 - Earthquakes and faults in the San Francisco Bay area (1970-2003)","interactions":[],"lastModifiedDate":"2017-07-13T09:42:51","indexId":"sim2848","displayToPublicDate":"2004-10-01T00:00:00","publicationYear":"2004","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2848","title":"Earthquakes and faults in the San Francisco Bay area (1970-2003)","docAbstract":"The map depicts both active and inactive faults and earthquakes magnitude 1.5 to 7.0 in the greater San Francisco Bay area. Twenty-two earthquakes magnitude 5.0 and greater are indicated on the map and listed chronologically in an accompanying table. The data are compiled from records from 1970-2003. The bathymetry was generated from a digital version of NOAA maps and hydrogeographic data for San Francisco Bay. Elevation data are from the USGS National Elevation Database. Landsat satellite image is from seven Landsat 7 Enhanced Thematic Mapper Plus scenes. Fault data are reproduced with permission from the California Geological Survey. The earthquake data are from the Northern California Earthquake Catalog.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim2848","isbn":"0607990295","usgsCitation":"Sleeter, B.M., Calzia, J.P., Walter, S.R., Wong, F.L., and Saucedo, G.J., 2004, Earthquakes and faults in the San Francisco Bay area (1970-2003): U.S. Geological Survey Scientific Investigations Map 2848, Map: 33 x 46 inches; Table, https://doi.org/10.3133/sim2848.","productDescription":"Map: 33 x 46 inches; Table","costCenters":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"links":[{"id":189186,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":343774,"rank":4,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/2004/2848/SIM2848.pdf","text":"Map as PDF file","size":"26.8 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":343775,"rank":5,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/2004/2848/SIM2848.jpg","text":"Map as JPG file (72 dpi)","size":"1.6 MB"},{"id":343776,"rank":6,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/2004/2848/SIM2848_table.pdf","text":"Table for map","size":"448 KB","linkFileType":{"id":1,"text":"pdf"}},{"id":6169,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/2004/2848/","linkFileType":{"id":5,"text":"html"}},{"id":110525,"rank":700,"type":{"id":15,"text":"Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_69202.htm","linkFileType":{"id":5,"text":"html"},"description":"69202"}],"scale":"300000","country":"United States","state":"California","otherGeospatial":"San Francisco Bay","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -123.3,36.2 ], [ -123.3,39.0 ], [ -121.0,39.0 ], [ -121.0,36.2 ], [ -123.3,36.2 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a51e4b07f02db629710","contributors":{"authors":[{"text":"Sleeter, Benjamin M. 0000-0003-2371-9571 bsleeter@usgs.gov","orcid":"https://orcid.org/0000-0003-2371-9571","contributorId":3479,"corporation":false,"usgs":true,"family":"Sleeter","given":"Benjamin","email":"bsleeter@usgs.gov","middleInitial":"M.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true},{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":281309,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Calzia, James P. jcalzia@usgs.gov","contributorId":2801,"corporation":false,"usgs":true,"family":"Calzia","given":"James","email":"jcalzia@usgs.gov","middleInitial":"P.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":281308,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Walter, Stephen R.","contributorId":34954,"corporation":false,"usgs":true,"family":"Walter","given":"Stephen","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":281310,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wong, Florence L. 0000-0002-3918-5896 fwong@usgs.gov","orcid":"https://orcid.org/0000-0002-3918-5896","contributorId":1990,"corporation":false,"usgs":true,"family":"Wong","given":"Florence","email":"fwong@usgs.gov","middleInitial":"L.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":281307,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Saucedo, George J.","contributorId":89006,"corporation":false,"usgs":true,"family":"Saucedo","given":"George","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":281311,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70157572,"text":"70157572 - 2004 - Filling Landsat ETM+ SLC-off gaps using a segmentation model approach","interactions":[],"lastModifiedDate":"2016-10-19T09:04:34","indexId":"70157572","displayToPublicDate":"2004-10-01T00:00:00","publicationYear":"2004","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":"Filling Landsat ETM+ SLC-off gaps using a segmentation model approach","docAbstract":"The purpose of this article is to present a methodology for filling Landsat Scan Line Corrector (SLC)-off gaps with same-scene spectral data guided by a segmentation model. Failure of the SLC on the Landsat 7 Enhanced Thematic Mapper Plus (ETM+) instrument resulted in a loss of approximately 25 percent of the spectral data. The missing data span across most of the image with scan gaps varying in size from two pixels near the center of the image to 14 pixels along the east and west edges. Even with the scan gaps, the radiometric and geometric qualities of the remaining portions of the image still meet design specifications and therefore contain useful information (see http:// landsat7.usgs.gov for additional information). The U.S. Geological Survey EROS Data Center (EDC) is evaluating several techniques to fill the gaps in SLC-off data to enhance the usability of the imagery (Howard and Lacasse 2004) (PE&RS, August 2004). The method presented here uses a segmentation model approach that allows for same-scene spectral data to be used to fill the gaps. The segment model is generated from a complete satellite image with no missing spectral data (e.g., Landsat 5, Landsat 7 SLCon, SPOT). The model is overlaid on the Landsat SLC-off image, and the missing data within the gaps are then estimated using SLC-off spectral data that intersect the segment boundary. A major advantage of this approach is that the gaps are filled using spectral data derived from the same SLC-off satellite image.
","language":"English","publisher":"ASPRS","usgsCitation":"Maxwell, S., 2004, Filling Landsat ETM+ SLC-off gaps using a segmentation model approach: Photogrammetric Engineering and Remote Sensing, v. 70, no. 10, p. 1109-1111.","productDescription":"3 p.","startPage":"1109","endPage":"1111","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":308671,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":308670,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.asprs.org/Photogrammetric-Engineering-and-Remote-Sensing/PE-RS-Archive-Search-2009-and-earlier.html"}],"volume":"70","issue":"10","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"560a64c2e4b058f706e536c7","contributors":{"authors":[{"text":"Maxwell, Susan","contributorId":30354,"corporation":false,"usgs":true,"family":"Maxwell","given":"Susan","affiliations":[],"preferred":false,"id":573682,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70121286,"text":"70121286 - 2004 - Assessment of estuarine water-quality indicators using MODIS medium-resolution bands: initial results from Tampa Bay, FL","interactions":[],"lastModifiedDate":"2022-11-14T17:29:05.970251","indexId":"70121286","displayToPublicDate":"2004-08-20T15:18:00","publicationYear":"2004","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3254,"text":"Remote Sensing of Environment","printIssn":"0034-4257","active":true,"publicationSubtype":{"id":10}},"title":"Assessment of estuarine water-quality indicators using MODIS medium-resolution bands: initial results from Tampa Bay, FL","docAbstract":"Using Tampa Bay, FL as an example, we explored the potential for using MODIS medium-resolution bands (250- and 500-m data at 469-, 555-, and 645-nm) for estuarine monitoring. Field surveys during 21–22 October 2003 showed that Tampa Bay has Case-II waters, in that for the salinity range of 24–32 psu, (a) chlorophyll concentration (11 to 23 mg m−3), (b) colored dissolved organic matter (CDOM) absorption coefficient at 400 nm (0.9 to 2.5 m−1), and (c) total suspended sediment concentration (TSS: 2 to 11 mg L−1) often do not co-vary. CDOM is the only constituent that showed a linear, inverse relationship with surface salinity, although the slope of the relationship changed with location within the bay. The MODIS medium-resolution bands, although designed for land use, are 4–5 times more sensitive than Landsat-7/ETM+ data and are comparable to or higher than those of CZCS. Several approaches were used to derive synoptic maps of water constituents from concurrent MODIS medium-resolution data. We found that application of various atmospheric-correction algorithms yielded no significant differences, due primarily to uncertainties in the sensor radiometric calibration and other sensor artifacts. However, where each scene could be groundtruthed, simple regressions between in situ observations of constituents and at-sensor radiances provided reasonable synoptic maps. We address the need for improvements of sensor calibration/characterization, atmospheric correction, and bio-optical algorithms to make operational and quantitative use of these medium-resolution bands.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Remote Sensing of Environment","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.rse.2004.08.007","usgsCitation":"Hu, C., Chen, Z., Clayton, T.D., Swarzenski, P.W., Brock, J., and Muller-Karger, F.E., 2004, Assessment of estuarine water-quality indicators using MODIS medium-resolution bands: initial results from Tampa Bay, FL: Remote Sensing of Environment, v. 93, no. 3, p. 423-441, https://doi.org/10.1016/j.rse.2004.08.007.","productDescription":"19 p.","startPage":"423","endPage":"441","costCenters":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"links":[{"id":292700,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":292699,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.rse.2004.08.007"}],"country":"United States","state":"Florida","otherGeospatial":"Tampa Bay","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -82.755578,27.520902 ], [ -82.755578,27.838234 ], [ -82.449468,27.838234 ], [ -82.449468,27.520902 ], [ -82.755578,27.520902 ] ] ] } } ] }","volume":"93","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53f5b64ae4b09d12e0e8e652","contributors":{"authors":[{"text":"Hu, Chuanmin","contributorId":24696,"corporation":false,"usgs":true,"family":"Hu","given":"Chuanmin","affiliations":[],"preferred":false,"id":498920,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chen, Zhiqiang","contributorId":54516,"corporation":false,"usgs":true,"family":"Chen","given":"Zhiqiang","email":"","affiliations":[],"preferred":false,"id":498921,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Clayton, Tonya D.","contributorId":82622,"corporation":false,"usgs":true,"family":"Clayton","given":"Tonya","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":498924,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Swarzenski, Peter W. 0000-0003-0116-0578 pswarzen@usgs.gov","orcid":"https://orcid.org/0000-0003-0116-0578","contributorId":1070,"corporation":false,"usgs":true,"family":"Swarzenski","given":"Peter","email":"pswarzen@usgs.gov","middleInitial":"W.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":535669,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"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":498919,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Muller-Karger, Frank E.","contributorId":68230,"corporation":false,"usgs":true,"family":"Muller-Karger","given":"Frank","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":498922,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70156729,"text":"70156729 - 2004 - An evaluation of gap-filled Landsat SLC-off imagery for wildland fire burn severity mapping","interactions":[],"lastModifiedDate":"2015-08-27T09:45:34","indexId":"70156729","displayToPublicDate":"2004-08-01T00:00:00","publicationYear":"2004","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":"An evaluation of gap-filled Landsat SLC-off imagery for wildland fire burn severity mapping","docAbstract":"n May 31, 2003 unusual artifacts appeared within image data collected by the Enhanced Thematic Mapper plus (ETM+) instrument on-board the Landsat 7 spacecraft. The U.S. Geological Survey (USGS), with the support of NASA, has been working to find a means of compensating for the data gaps that result from a failure of the instrument’s scan line corrector (SLC). The SLC is an electromechanical device that compensates for the forward motion of the spacecraft by modifying the instrument’s optical path. The problem is likely due to a mechanical failure of the device for which there is no redundancy and that cannot be repaired or coaxed back into service. Further information regarding Landsat 7 and the SLC failure can be found at the Landsat Project home page (http://landsat7.usgs.gov).
","language":"English","publisher":"ASPRS","usgsCitation":"Howard, S.M., and Lacasse, J.M., 2004, An evaluation of gap-filled Landsat SLC-off imagery for wildland fire burn severity mapping: Photogrammetric Engineering and Remote Sensing, v. 70, no. 8, p. 877-880.","productDescription":"4 p.","startPage":"877","endPage":"880","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":307597,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"70","issue":"8","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55e034b1e4b0f42e3d040dec","contributors":{"authors":[{"text":"Howard, Stephen M. 0000-0001-5255-5882 smhoward@usgs.gov","orcid":"https://orcid.org/0000-0001-5255-5882","contributorId":3483,"corporation":false,"usgs":true,"family":"Howard","given":"Stephen","email":"smhoward@usgs.gov","middleInitial":"M.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":570293,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lacasse, James M. jmlacasse@usgs.gov","contributorId":5704,"corporation":false,"usgs":true,"family":"Lacasse","given":"James","email":"jmlacasse@usgs.gov","middleInitial":"M.","affiliations":[],"preferred":true,"id":570294,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":53846,"text":"cir1252 - 2004 - Urban growth in American cities : glimpses of U.S. urbanization","interactions":[],"lastModifiedDate":"2018-02-21T10:18:00","indexId":"cir1252","displayToPublicDate":"2004-07-01T00:00:00","publicationYear":"2004","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":307,"text":"Circular","code":"CIR","onlineIssn":"2330-5703","printIssn":"1067-084X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1252","title":"Urban growth in American cities : glimpses of U.S. urbanization","docAbstract":"The Earth's surface is changing rapidly. Changes are local, regional, national, and even global in scope. Some changes have natural causes, such as earthquakes or drought. Other changes, such as urban expansion, agricultural intensification, resource extraction, and water resources development, are examples of human-induced change that have significant impact upon people, the economy, and resources. The consequences that result from these changes are often dramatic and widespread (Buchanan, Acevedo, and Zirbes, 2002)
It is the role of the U.S. Geological Survey (USGS) to provide useful and relevant scientific information both to the agencies within the Department of the Interior and to the Nation in general. In an effort to comply with this task, USGS scientists are assessing the status of, and the trends in, the Nation's land surface. This assessment provides useful information for regional and national land use decisionmaking. This knowledge can be used to deal with issues of significance to the Nation, such as quality-of-life, ecology of urban environments, ecosystem health, ecological integrity, water quality and quantity concerns, resource availability, vulnerability to natural hazards, safeguards to human health, air and land quality, and accessibility to scientific information. Results of these assessments can also be analyzed to reveal rates and trends in land use change. Results from urban growth studies provide a firm foundation for continuing research that explores the consequences of human modification of the landscape.
The USGS seeks to illustrate and explain the spatial history of urban growth and corresponding land use change. Scientists are studying urban environments from a regional perspective and a time scale of decades to measure the changes that have occurred in order to help understand the impact of anticipated changes in the future.
Within this booklet are pairs of images of selected urbanized regions from across the Nation. These image pairs illustrate the transformation that these areas have undergone over two decades. Specifically, they depict changes in the extent of urban land. Each change pair is composed of one image from the 1970s and one image from the 1990s. Accompanying each image pair is a brief historical geography of factors that helped facilitate major changes that have occurred since the founding of the main city and the consequences and challenges of regional urban growth. The goal of this publication is to provide an illustration of urban change that is easily understood by a broad audience.
The images used throughout this booklet were generated from land cover data developed by the USGS. The data sources include the Geographic Information Retrieval and Analysis System (GIRAS) for the 1970s images and the National Land Cover Dataset (NLCD) for the 1990s images. GIRAS digital maps are based on photointerpretations completed in the mid-1970s. The NLCD is a land cover dataset for the conterminous United States based on 1992 Landsat thematic mapper (TM) satellite imagery and supplemental data (fig. 1a and fig. 1b). The USGS distributes both of these land use and land cover digital datasets.
The images were developed by using a geographic information system (GIS). The GIRAS and NLCD datasets were used to identify urban land within each region. In the final images all urban areas are shown in red. A shaded-relief map of each region was used to display the topographic context of the red polygon coverage. For all of these images, urban land is defined as areas transformed into a built-up environment for human use. It includes residential areas, commercial and industrial developments, transportation features, and institutions.
","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/cir1252","usgsCitation":"Auch, R., Taylor, J., and Acevedo, W., 2004, Urban growth in American cities : glimpses of U.S. urbanization: U.S. Geological Survey Circular 1252, iv, 52 p., https://doi.org/10.3133/cir1252.","productDescription":"iv, 52 p.","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":126329,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/cir_1252.jpg"},{"id":5277,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/circ/2004/circ1252/","linkFileType":{"id":5,"text":"html"}},{"id":338406,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/circ/2004/circ1252/pdf/circ1252.pdf"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a18e4b07f02db6052b2","contributors":{"authors":[{"text":"Auch, Roger 0000-0002-5382-5044","orcid":"https://orcid.org/0000-0002-5382-5044","contributorId":59868,"corporation":false,"usgs":true,"family":"Auch","given":"Roger","affiliations":[],"preferred":false,"id":248488,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Taylor, Janis 0000-0002-9418-5215 jltaylor@usgs.gov","orcid":"https://orcid.org/0000-0002-9418-5215","contributorId":3869,"corporation":false,"usgs":true,"family":"Taylor","given":"Janis ","email":"jltaylor@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":248487,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Acevedo, William wacevedo@usgs.gov","contributorId":2689,"corporation":false,"usgs":true,"family":"Acevedo","given":"William","email":"wacevedo@usgs.gov","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":248486,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70156530,"text":"70156530 - 2004 - Development of a 2001 National Land Cover Database for the United States","interactions":[],"lastModifiedDate":"2015-08-24T13:27:45","indexId":"70156530","displayToPublicDate":"2004-07-01T00:00:00","publicationYear":"2004","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":"Development of a 2001 National Land Cover Database for the United States","docAbstract":"Multi-Resolution Land Characterization 2001 (MRLC 2001) is a second-generation Federal consortium designed to create an updated pool of nation-wide Landsat 5 and 7 imagery and derive a second-generation National Land Cover Database (NLCD 2001). The objectives of this multi-layer, multi-source database are two fold: first, to provide consistent land cover for all 50 States, and second, to provide a data framework which allows flexibility in developing and applying each independent data component to a wide variety of other applications. Components in the database include the following: (1) normalized imagery for three time periods per path/row, (2) ancillary data, including a 30 m Digital Elevation Model (DEM) derived into slope, aspect and slope position, (3) perpixel estimates of percent imperviousness and percent tree canopy, (4) 29 classes of land cover data derived from the imagery, ancillary data, and derivatives, (5) classification rules, confidence estimates, and metadata from the land cover classification. This database is now being developed using a Mapping Zone approach, with 66 Zones in the continental United States and 23 Zones in Alaska. Results from three initial mapping Zones show single-pixel land cover accuracies ranging from 73 to 77 percent, imperviousness accuracies ranging from 83 to 91 percent, tree canopy accuracies ranging from 78 to 93 percent, and an estimated 50 percent increase in mapping efficiency over previous methods. The database has now entered the production phase and is being created using extensive partnering in the Federal government with planned completion by 2006.
","language":"English","publisher":"American Society for Photogrammetry and Remote Sensing","doi":"10.14358/PERS.70.7.829","usgsCitation":"Homer, C.G., Huang, C., Yang, L., Wylie, B.K., and Coan, M., 2004, Development of a 2001 National Land Cover Database for the United States: Photogrammetric Engineering and Remote Sensing, v. 70, no. 7, p. 829-840, https://doi.org/10.14358/PERS.70.7.829.","productDescription":"12 p.","startPage":"829","endPage":"840","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":478035,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.14358/pers.70.7.829","text":"Publisher Index Page"},{"id":307256,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"70","issue":"7","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55dc402de4b0518e354d10ec","contributors":{"authors":[{"text":"Homer, Collin G. 0000-0003-4755-8135 homer@usgs.gov","orcid":"https://orcid.org/0000-0003-4755-8135","contributorId":2262,"corporation":false,"usgs":true,"family":"Homer","given":"Collin","email":"homer@usgs.gov","middleInitial":"G.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":569410,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Huang, Chengquan","contributorId":25378,"corporation":false,"usgs":true,"family":"Huang","given":"Chengquan","affiliations":[],"preferred":false,"id":569411,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Yang, Limin 0000-0002-2843-6944 lyang@usgs.gov","orcid":"https://orcid.org/0000-0002-2843-6944","contributorId":4305,"corporation":false,"usgs":true,"family":"Yang","given":"Limin","email":"lyang@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":569412,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wylie, Bruce K. 0000-0002-7374-1083 wylie@usgs.gov","orcid":"https://orcid.org/0000-0002-7374-1083","contributorId":750,"corporation":false,"usgs":true,"family":"Wylie","given":"Bruce","email":"wylie@usgs.gov","middleInitial":"K.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":569413,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Coan, Michael mcoan@usgs.gov","contributorId":5398,"corporation":false,"usgs":true,"family":"Coan","given":"Michael","email":"mcoan@usgs.gov","affiliations":[],"preferred":true,"id":569414,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":55688,"text":"ofr20041040B - 2004 - Processed Landsat 7 satellite imagery of the Taos Plateau-San Luis Valley region, New Mexico and Colorado","interactions":[],"lastModifiedDate":"2026-03-06T21:13:45.894255","indexId":"ofr20041040B","displayToPublicDate":"2004-05-01T00:00:00","publicationYear":"2004","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2004-1040","chapter":"B","title":"Processed Landsat 7 satellite imagery of the Taos Plateau-San Luis Valley region, New Mexico and Colorado","docAbstract":"No abstract available.
","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20041040B","isbn":"0607969474","usgsCitation":"Sawyer, D.A., 2004, Processed Landsat 7 satellite imagery of the Taos Plateau-San Luis Valley region, New Mexico and Colorado: U.S. Geological Survey Open-File Report 2004-1040, 1 CD-ROM ; 4 3/4 in., https://doi.org/10.3133/ofr20041040B.","productDescription":"1 CD-ROM","costCenters":[],"links":[{"id":500901,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2004/1040-b/ofr20041040B.zip","text":"CD-ROM","linkFileType":{"id":6,"text":"zip"}},{"id":181470,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"}],"country":"United States","state":"Colorado, New Mexico","otherGeospatial":"San Luis Valley, Taos Plateau","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a9ee4b07f02db6602fc","contributors":{"authors":[{"text":"Sawyer, David A. dsawyer@usgs.gov","contributorId":1262,"corporation":false,"usgs":true,"family":"Sawyer","given":"David","email":"dsawyer@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":254008,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ]}