The purpose of this study is to determine if Synthetic Aperture Radar (SAR) can be used independently, or in conjunction with Landsat Enhanced Thematic Mapper Plus (ETM+) to improve the classification accuracy of structural attributes of rangeland vegetation, particularly percent shrub cover and top shrub canopy height. Such information, if mapped accurately, can be used in models to better characterize fuel conditions and fire regimes, as well as to evaluate fire hazard status, called for by the U.S. National Fire Plan. The input datasets utilized in this investigation included eighteen bands of Landsat ETM+ path 38 / row 32 (three image dates, six bands each), backscattering and interferometic data derived from tandem ERS-1/2 SAR image pairs (C-band), and extensive field point data. The results showed the use of SAR data provided no significant improvement over the ETM+ data for estimating percent cover or shrub canopy height. The lack of improvement in classification accuracy is possibly due to the influence of topography on the radar backscattering signal. Additional results demonstrated improved model accuracies when a 3x3-averaging filter was applied to the eighteen bands of ETM+ imagery.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Technology- Converging at the top of the world","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"American Society for Photogrammetry and Remote Sensing","usgsCitation":"Tolk, B.L., Huang, C., Lu, Z., Rykhus, R.P., and Vogelmann, J., 2003, Deriving rangeland structural attributes using Landsat ETM+, ERS-1/ERS-2, in Technology- Converging at the top of the world, 7 p.","productDescription":"7 p.","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":482288,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Tolk, Brian L. 0000-0002-9060-0266 tolk@usgs.gov","orcid":"https://orcid.org/0000-0002-9060-0266","contributorId":2992,"corporation":false,"usgs":true,"family":"Tolk","given":"Brian","email":"tolk@usgs.gov","middleInitial":"L.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":928008,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Huang, Chengquan 0000-0003-0055-9798","orcid":"https://orcid.org/0000-0003-0055-9798","contributorId":198972,"corporation":false,"usgs":false,"family":"Huang","given":"Chengquan","email":"","affiliations":[{"id":7261,"text":"Department of Geographical Sciences, University of Maryland, College Park, MD, 20742","active":true,"usgs":false}],"preferred":false,"id":928009,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lu, Zhong 0000-0001-9181-1818 lu@usgs.gov","orcid":"https://orcid.org/0000-0001-9181-1818","contributorId":901,"corporation":false,"usgs":true,"family":"Lu","given":"Zhong","email":"lu@usgs.gov","affiliations":[],"preferred":true,"id":928010,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rykhus, Russell P.","contributorId":27337,"corporation":false,"usgs":true,"family":"Rykhus","given":"Russell","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":928011,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Vogelmann, James 0000-0002-0804-5823 vogel@usgs.gov","orcid":"https://orcid.org/0000-0002-0804-5823","contributorId":192352,"corporation":false,"usgs":true,"family":"Vogelmann","given":"James","email":"vogel@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":5055,"text":"Land Change Science","active":true,"usgs":true}],"preferred":true,"id":928012,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70263735,"text":"70263735 - 2003 - A comparison of spectral and spatial characteristics of Landsat 7 ETM+ with Terra ASTER imagery","interactions":[],"lastModifiedDate":"2025-02-20T17:16:10.782122","indexId":"70263735","displayToPublicDate":"2003-12-01T11:09:53","publicationYear":"2003","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"A comparison of spectral and spatial characteristics of Landsat 7 ETM+ with Terra ASTER imagery","docAbstract":"No abstract available.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Technology- Converging at the top of the world","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"American Society for Photogrammetry and Remote Sensing","usgsCitation":"Smit, P., Zhang, Z., and Ramachandran, B., 2003, A comparison of spectral and spatial characteristics of Landsat 7 ETM+ with Terra ASTER imagery, in Technology- Converging at the top of the world, 5 p.","productDescription":"5 p.","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":482287,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Smit, Paula F.","contributorId":351154,"corporation":false,"usgs":false,"family":"Smit","given":"Paula F.","affiliations":[],"preferred":false,"id":928005,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zhang, Zheng","contributorId":345022,"corporation":false,"usgs":false,"family":"Zhang","given":"Zheng","email":"","affiliations":[],"preferred":false,"id":928006,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ramachandran, Bhaskar bhaskar@usgs.gov","contributorId":3334,"corporation":false,"usgs":true,"family":"Ramachandran","given":"Bhaskar","email":"bhaskar@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":928007,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70263734,"text":"70263734 - 2003 - Studies of Alaskan volcanoes using synthetic aperature radar and Landsat imagery","interactions":[],"lastModifiedDate":"2025-02-20T17:09:03.925353","indexId":"70263734","displayToPublicDate":"2003-12-01T11:05:37","publicationYear":"2003","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Studies of Alaskan volcanoes using synthetic aperature radar and Landsat imagery","docAbstract":"Approximately 10 percent of the world’s active volcanoes are located in the Alaskan Aleutian arc and produce about 3-4 explosive eruptions per year. Even with this high amount of volcanic activity, the remote locations and harsh environments of the Aleutian volcanoes conspire to keep them among some of the most poorly studied volcanoes in the world. Space-borne remote sensed imagery can play a significant role in improving our understanding of activity at these volcanoes. Synthetic aperture radar (SAR), Landsat imagery, and Digital Elevation Models (DEMs) derived from SRTM and the National Elevation Database (NED) are used to study several Alaskan volcanoes. Interferometric SAR (InSAR) techniques with ERS-1 and ERS-2 SAR imagery are used to measure ground-surface deformation, which enables the construction of detailed mechanical models that enhance the study of magmatic and tectonic processes. The 30-year historical archive of Landsat data is used to study land cover change, visualize the ash plumes of Aleutian volcanic eruptions, and to map the extent of lava flows. Differencing two DEMs that represent volcano topography before and after an eruption makes it possible to calculate the volume of extruded materials. This paper provides a progress report on how InSAR, Landsat imagery and digital elevation data can be used to better understand the volcanic processes at three Aleutian volcanoes.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Technology- Converging at the top of the world","largerWorkSubtype":{"id":12,"text":"Conference publication"},"publisher":"American Society for Photogrammetry and Remote Sensing","usgsCitation":"Rykhus, R.P., and Lu, Z., 2003, Studies of Alaskan volcanoes using synthetic aperature radar and Landsat imagery, in Technology- Converging at the top of the world, 6 p.","productDescription":"6 p.","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":482286,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -152.33036874483844,\n 59.70347743188694\n ],\n [\n -169.1695521105382,\n 59.70347743188694\n ],\n [\n -169.1695521105382,\n 52.600812738063496\n ],\n [\n -152.33036874483844,\n 52.600812738063496\n ],\n [\n -152.33036874483844,\n 59.70347743188694\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Rykhus, Russell P.","contributorId":27337,"corporation":false,"usgs":true,"family":"Rykhus","given":"Russell","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":928003,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lu, Zhong 0000-0001-9181-1818 lu@usgs.gov","orcid":"https://orcid.org/0000-0001-9181-1818","contributorId":901,"corporation":false,"usgs":true,"family":"Lu","given":"Zhong","email":"lu@usgs.gov","affiliations":[],"preferred":true,"id":928004,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70263459,"text":"70263459 - 2003 - Predictive modeling of forest cover type and tree canopy height in the central Rocky Mountains of Utah","interactions":[],"lastModifiedDate":"2025-02-11T17:01:06.536601","indexId":"70263459","displayToPublicDate":"2003-12-01T10:56:32","publicationYear":"2003","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Predictive modeling of forest cover type and tree canopy height in the central Rocky Mountains of Utah","docAbstract":"Maps of forest cover type and canopy height are needed for LANDFIRE, a multi-scale fire risk assessment project designed to generate intermediate-resolution data of vegetation and fire fuel characteristics for the U.S. Here we describe an evaluation study in the central Rockies of Utah, comparing tree-based methods, multivariate adaptive regression splines (MARS), and a hybrid method for mapping forest cover and canopy height on the basis of more than 2,000 forest inventory ground plots in the seven million ha mapping zone. The two forest attributes were modeled as functions of a variety of predictor variables, including: Landsat 7 Enhanced Thematic Mapper Plus (ETM+) images acquired at three different seasons; Tasseled-cap brightness, greenness, and wetness; a forest type group map; and topographic variables derived from Digital Elevation Models (DEMs); and other ancillary variables. The hybrid modeling approach showed a marked increase in overall and within forest cover type accuracies, outperforming the tree-based and MARS approaches. Little difference was seen in global performance measures of forest canopy height models, but patterns in residual plots resulting from different modeling approaches raise questions about utility of height predictions in different applications.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Technology—Converging at the top of the world","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"American Society for Photogrammetry and Remote Sensing","usgsCitation":"Moisen, G.G., Frescino, T., Huang, C., Vogelmann, J., and Zhu, Z., 2003, Predictive modeling of forest cover type and tree canopy height in the central Rocky Mountains of Utah, in Technology—Converging at the top of the world, 11 p.","productDescription":"11 p.","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":481936,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho, Utah, Wyoming","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -113.0738784907244,\n 38.225155891159375\n ],\n [\n -112.61007871413581,\n 37.098860827796145\n ],\n [\n -110.96829079907438,\n 37.62290231925077\n ],\n [\n -109.23145339633764,\n 40.90410931035362\n ],\n [\n -109.90854382084767,\n 41.713850737183066\n ],\n [\n -111.22792548102528,\n 41.75190845730722\n ],\n [\n -111.55059786157618,\n 42.97031458161342\n ],\n [\n -112.42823065667831,\n 42.94139537473612\n ],\n [\n -112.34462551318505,\n 40.397107371779725\n ],\n [\n -113.0738784907244,\n 38.225155891159375\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Moisen, Gretchen G.","contributorId":15781,"corporation":false,"usgs":false,"family":"Moisen","given":"Gretchen","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":927051,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Frescino, T.S.","contributorId":94485,"corporation":false,"usgs":true,"family":"Frescino","given":"T.S.","email":"","affiliations":[],"preferred":false,"id":927052,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Huang, Chengquan","contributorId":25378,"corporation":false,"usgs":true,"family":"Huang","given":"Chengquan","affiliations":[],"preferred":false,"id":927053,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Vogelmann, James 0000-0002-0804-5823 vogel@usgs.gov","orcid":"https://orcid.org/0000-0002-0804-5823","contributorId":192352,"corporation":false,"usgs":true,"family":"Vogelmann","given":"James","email":"vogel@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":5055,"text":"Land Change Science","active":true,"usgs":true}],"preferred":true,"id":927054,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Zhu, Zhiliang 0000-0002-6860-6936 zzhu@usgs.gov","orcid":"https://orcid.org/0000-0002-6860-6936","contributorId":150078,"corporation":false,"usgs":true,"family":"Zhu","given":"Zhiliang","email":"zzhu@usgs.gov","affiliations":[{"id":505,"text":"Office of the AD Climate and Land-Use Change","active":true,"usgs":true},{"id":5055,"text":"Land Change Science","active":true,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":927055,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70263457,"text":"70263457 - 2003 - Deriving annual integrated NDVI greenness at 30 m spatial resolution","interactions":[],"lastModifiedDate":"2025-02-12T14:18:18.839655","indexId":"70263457","displayToPublicDate":"2003-12-01T10:40:52","publicationYear":"2003","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Deriving annual integrated NDVI greenness at 30 m spatial resolution","docAbstract":"Temporal greenness matrics have been found useful for characterizing vegetation phenology, and have been used to discriminate vegetation cover types and to estimate key vegetation attributes including percent cover and green biomass. So far, however, such matrics have been calculated only from coarse resolution satellite data. Intermediate spatial resolution satellites like Landsat cannot provide the temporal resolutions needed for directly calculating such greenness matrics. In this study, we developed a method to indirectly derive annual integrated NDVI at 30 m spatial resolution using 250 m MODIS data and 30 m Landsat ETM+ imagery. Results showed that more than 90% of the variance of the annual integrated NDVI calculated using one full year’s MODIS data could be explained using as few as 3 appropriately selected observations, demonstrating the feasibility of indirectly estimating the annual integrated NDVI at intermediate spatial resolutions, as normally only limited number of useful observations would be available within the life cycle of a typical project at such spatial resolutions. The developed method was applied to two ETM+ paths/rows, for each of which 3 ETM+ images were acquired in roughly spring, summer and fall/winter seasons around the year 2000. Of the total variance of the MODIS annual integrated NDVI, 81% was explained by the three ETM+ images for one path/row and 74% for the other.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Technology - Converging at the top of the world","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"American Society for Photogrammetry and Remote Sensing","usgsCitation":"Huang, C., Tolk, B.L., Vogelmann, J., Knuppe, M., and Zhu, Z., 2003, Deriving annual integrated NDVI greenness at 30 m spatial resolution, in Technology - Converging at the top of the world, 7 p.","productDescription":"7 p.","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":481934,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Huang, Chengquan","contributorId":25378,"corporation":false,"usgs":true,"family":"Huang","given":"Chengquan","affiliations":[],"preferred":false,"id":927041,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tolk, Brian L. 0000-0002-9060-0266 tolk@usgs.gov","orcid":"https://orcid.org/0000-0002-9060-0266","contributorId":2992,"corporation":false,"usgs":true,"family":"Tolk","given":"Brian","email":"tolk@usgs.gov","middleInitial":"L.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":927042,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vogelmann, James 0000-0002-0804-5823 vogel@usgs.gov","orcid":"https://orcid.org/0000-0002-0804-5823","contributorId":192352,"corporation":false,"usgs":true,"family":"Vogelmann","given":"James","email":"vogel@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":5055,"text":"Land Change Science","active":true,"usgs":true}],"preferred":true,"id":927043,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Knuppe, Michelle L. 0000-0002-0374-9477 knuppe@usgs.gov","orcid":"https://orcid.org/0000-0002-0374-9477","contributorId":5148,"corporation":false,"usgs":true,"family":"Knuppe","given":"Michelle L.","email":"knuppe@usgs.gov","affiliations":[],"preferred":true,"id":927044,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Zhu, Zhiliang 0000-0002-6860-6936 zzhu@usgs.gov","orcid":"https://orcid.org/0000-0002-6860-6936","contributorId":150078,"corporation":false,"usgs":true,"family":"Zhu","given":"Zhiliang","email":"zzhu@usgs.gov","affiliations":[{"id":5055,"text":"Land Change Science","active":true,"usgs":true},{"id":505,"text":"Office of the AD Climate and Land-Use Change","active":true,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":927045,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70156395,"text":"70156395 - 2003 - Land cover characterization and mapping of continental southeast Asia using multi-resolution satellite sensor data","interactions":[],"lastModifiedDate":"2015-08-20T15:02:42","indexId":"70156395","displayToPublicDate":"2003-12-01T00:00:00","publicationYear":"2003","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":"Land cover characterization and mapping of continental southeast Asia using multi-resolution satellite sensor data","docAbstract":"Land use/land cover change, particularly that of tropical deforestation and forest degradation, has been occurring at an unprecedented rate and scale in Southeast Asia. The rapid rate of economic development, demographics and poverty are believed to be the underlying forces responsible for the change. Accurate and up-to-date information to support the above statement is, however, not available. The available data, if any, are outdated and are not comparable for various technical reasons. Time series analysis of land cover change and the identification of the driving forces responsible for these changes are needed for the sustainable management of natural resources and also for projecting future land cover trajectories. We analysed the multi-temporal and multi-seasonal NOAA Advanced Very High Resolution Radiometer (AVHRR) satellite data of 1985/86 and 1992 to (1) prepare historical land cover maps and (2) to identify areas undergoing major land cover transformations (called ‘hot spots’). The identified ‘hot spot’ areas were investigated in detail using high-resolution satellite sensor data such as Landsat and SPOT supplemented by intensive field surveys. Shifting cultivation, intensification of agricultural activities and change of cropping patterns, and conversion of forest to agricultural land were found to be the principal reasons for land use/land cover change in the Oudomxay province of Lao PDR, the Mekong Delta of Vietnam and the Loei province of Thailand, respectively. Moreover, typical land use/land cover change patterns of the ‘hot spot’ areas were also examined. In addition, we developed an operational methodology for land use/land cover change analysis at the national level with the help of national remote sensing institutions.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/0143116031000139827","usgsCitation":"Giri, C., Defourny, P., and Shrestha, S., 2003, Land cover characterization and mapping of continental southeast Asia using multi-resolution satellite sensor data: International Journal of Remote Sensing, v. 24, no. 21, p. 4181-4196, https://doi.org/10.1080/0143116031000139827.","productDescription":"16 p.","startPage":"4181","endPage":"4196","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":307055,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"24","issue":"21","noUsgsAuthors":false,"publicationDate":"2010-06-07","publicationStatus":"PW","scienceBaseUri":"55d6fa34e4b0518e3546bc4d","contributors":{"authors":[{"text":"Giri, Chandra cgiri@usgs.gov","contributorId":2403,"corporation":false,"usgs":true,"family":"Giri","given":"Chandra","email":"cgiri@usgs.gov","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":569014,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Defourny, Pierre","contributorId":146809,"corporation":false,"usgs":false,"family":"Defourny","given":"Pierre","email":"","affiliations":[],"preferred":false,"id":569015,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shrestha, Surendra","contributorId":145742,"corporation":false,"usgs":false,"family":"Shrestha","given":"Surendra","email":"","affiliations":[],"preferred":false,"id":569016,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":69710,"text":"i2600G - 2003 - Coastal-change and glaciological map of the Saunders Coast area, Antarctica: 1972-1997","interactions":[],"lastModifiedDate":"2019-11-14T16:18:07","indexId":"i2600G","displayToPublicDate":"2003-11-01T00:00:00","publicationYear":"2003","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":"G","title":"Coastal-change and glaciological map of the Saunders Coast area, Antarctica: 1972-1997","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).\r\n","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Coastal-change and glaciological maps of Antarctica","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/i2600G","isbn":"0607942800","usgsCitation":"Swithinbank, C., Williams, R., Ferrigno, J.G., Foley, K.M., Hallam, C.A., and Rosanova, C.E., 2003, Coastal-change and glaciological map of the Saunders Coast area, Antarctica: 1972-1997 (Version 1.0): U.S. Geological Survey IMAP 2600, Report: 9 p.; 1 Plate: 50.00 x 40.00 inches, https://doi.org/10.3133/i2600G.","productDescription":"Report: 9 p.; 1 Plate: 50.00 x 40.00 inches","temporalStart":"1972-01-01","temporalEnd":"1997-12-31","costCenters":[],"links":[{"id":191412,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":369237,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/imap/2600/G/i2600g.pdf","text":"Report"},{"id":369238,"rank":4,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/imap/2600/G/SaundersCoast.pdf","text":"Plate 1"},{"id":6381,"rank":0,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/imap/2600/G/","linkFileType":{"id":5,"text":"html"}}],"scale":"1000000","projection":"Polar stereographic, MSL","otherGeospatial":"Antarctica","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -87.890625,\n -70.95969716686398\n ],\n [\n 156.4453125,\n -70.95969716686398\n ],\n [\n 156.4453125,\n -67.74275906666388\n ],\n [\n -87.890625,\n -67.74275906666388\n ],\n [\n -87.890625,\n -70.95969716686398\n ]\n ]\n ]\n }\n }\n ]\n}","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b24e4b07f02db6aea04","contributors":{"authors":[{"text":"Swithinbank, Charles","contributorId":26368,"corporation":false,"usgs":true,"family":"Swithinbank","given":"Charles","email":"","affiliations":[],"preferred":false,"id":280956,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Williams, Richard S. Jr.","contributorId":90679,"corporation":false,"usgs":true,"family":"Williams","given":"Richard S.","suffix":"Jr.","affiliations":[],"preferred":false,"id":280960,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ferrigno, Jane G. jferrign@usgs.gov","contributorId":39825,"corporation":false,"usgs":true,"family":"Ferrigno","given":"Jane","email":"jferrign@usgs.gov","middleInitial":"G.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":false,"id":280957,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Foley, Kevin M. 0000-0003-1013-462X kfoley@usgs.gov","orcid":"https://orcid.org/0000-0003-1013-462X","contributorId":2543,"corporation":false,"usgs":true,"family":"Foley","given":"Kevin","email":"kfoley@usgs.gov","middleInitial":"M.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":280955,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hallam, Cheryl A.","contributorId":59012,"corporation":false,"usgs":true,"family":"Hallam","given":"Cheryl","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":280958,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rosanova, Christine E.","contributorId":77239,"corporation":false,"usgs":true,"family":"Rosanova","given":"Christine","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":280959,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":51437,"text":"wri034155 - 2003 - Comparison of Irrigation Water Use Estimates Calculated from Remotely Sensed Irrigated Acres and State Reported Irrigated Acres in the Lake Altus Drainage Basin, Oklahoma and Texas, 2000 Growing Season","interactions":[],"lastModifiedDate":"2012-02-02T00:11:30","indexId":"wri034155","displayToPublicDate":"2003-09-01T00:00:00","publicationYear":"2003","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":342,"text":"Water-Resources Investigations Report","code":"WRI","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"2003-4155","title":"Comparison of Irrigation Water Use Estimates Calculated from Remotely Sensed Irrigated Acres and State Reported Irrigated Acres in the Lake Altus Drainage Basin, Oklahoma and Texas, 2000 Growing Season","docAbstract":"Increased demand for water in the Lake Altus drainage basin requires more accurate estimates of water use for irrigation. The U.S. Geological Survey, in cooperation with the U.S. Bureau of Reclamation, is investigating new techniques to improve water-use estimates for irrigation purposes in the Lake Altus drainage basin. Empirical estimates of reference evapotranspiration, crop evapotranspiration, and crop irrigation water requirements for nine major crops were calculated from September 1999 to October 2000 using a solar radiation-based evapotranspiration model. Estimates of irrigation water use were calculated using remotely sensed irrigated crop acres derived from Landsat 7 Enhanced Thematic Mapper Plus imagery and were compared with irrigation water-use estimates calculated from irrigated crop acres reported by the Oklahoma Water Resources Board and the Texas Water Development Board for the 2000 growing season. The techniques presented will help manage water resources in the Lake Altus drainage basin and may be transferable to other areas with similar water management needs.\r\n\r\nIrrigation water use calculated from the remotely sensed irrigated acres was estimated at 154,920 acre-feet; whereas, irrigation water use calculated from state reported irrigated crop acres was 196,026 acre-feet, a 23 percent difference. The greatest difference in irrigation water use was in Carson County, Texas. Irrigation water use for Carson County, Texas, calculated from the remotely sensed irrigated acres was 58,555 acrefeet; whereas, irrigation water use calculated from state reported irrigated acres was 138,180 acre-feet, an 81 percent difference. The second greatest difference in irrigation water use occurred in Beckham County, Oklahoma. Differences between the two irrigation water use estimates are due to the differences of irrigated crop acres derived from the mapping process and those reported by the Oklahoma Water Resources Board and Texas Water Development Board.","language":"ENGLISH","doi":"10.3133/wri034155","usgsCitation":"Masoner, J., Mladinich, C., Konduris, A., and Smith, S.J., 2003, Comparison of Irrigation Water Use Estimates Calculated from Remotely Sensed Irrigated Acres and State Reported Irrigated Acres in the Lake Altus Drainage Basin, Oklahoma and Texas, 2000 Growing Season: U.S. Geological Survey Water-Resources Investigations Report 2003-4155, 39 p., https://doi.org/10.3133/wri034155.","productDescription":"39 p.","costCenters":[],"links":[{"id":4447,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.water.usgs.gov/wri034155","linkFileType":{"id":5,"text":"html"}},{"id":178899,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b24e4b07f02db6ae42e","contributors":{"authors":[{"text":"Masoner, J.R.","contributorId":15690,"corporation":false,"usgs":true,"family":"Masoner","given":"J.R.","affiliations":[],"preferred":false,"id":243576,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mladinich, C.S.","contributorId":61095,"corporation":false,"usgs":true,"family":"Mladinich","given":"C.S.","email":"","affiliations":[],"preferred":false,"id":243577,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Konduris, A.M.","contributorId":106567,"corporation":false,"usgs":true,"family":"Konduris","given":"A.M.","affiliations":[],"preferred":false,"id":243578,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Smith, S. Jerrod 0000-0002-9379-8167 sjsmith@usgs.gov","orcid":"https://orcid.org/0000-0002-9379-8167","contributorId":981,"corporation":false,"usgs":true,"family":"Smith","given":"S.","email":"sjsmith@usgs.gov","middleInitial":"Jerrod","affiliations":[{"id":516,"text":"Oklahoma Water Science Center","active":true,"usgs":true}],"preferred":true,"id":243575,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70159451,"text":"70159451 - 2003 - Urban land-cover change detection through sub-pixel imperviousness mapping using remotely sensed data","interactions":[],"lastModifiedDate":"2015-10-30T10:17:19","indexId":"70159451","displayToPublicDate":"2003-09-01T00:00:00","publicationYear":"2003","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":"Urban land-cover change detection through sub-pixel imperviousness mapping using remotely sensed data","docAbstract":"We developed a Sub-pixel Imperviousness Change Detection (SICD) approach to detect urban land-cover changes using Landsat and high-resolution imagery. The sub-pixel percent imperviousness was mapped for two dates (09 March 1993 and 11 March 2001) over western Georgia using a regression tree algorithm. The accuracy of the predicted imperviousness was reasonable based on a comparison using independent reference data. The average absolute error between predicted and reference data was 16.4 percent for 1993 and 15.3 percent for 2001. The correlation coefficient (r) was 0.73 for 1993 and 0.78 for 2001, respectively. Areas with a significant increase (greater than 20 percent) in impervious surface from 1993 to 2001 were mostly related to known land-cover/land-use changes that occurred in this area, suggesting that the spatial change of an impervious surface is a useful indicator for identifying spatial extent, intensity, and, potentially, type of urban land-cover/land-use changes. Compared to other pixel-based change-detection methods (band differencing, rationing, change vector, post-classification), information on changes in sub-pixel percent imperviousness allow users to quantify and interpret urban land-cover/land-use changes based on their own definition. Such information is considered complementary to products generated using other change-detection methods. In addition, the procedure for mapping imperviousness is objective and repeatable, hence, can be used for monitoring urban land-cover/land-use change over a large geographic area. Potential applications and limitations of the products developed through this study in urban environmental studies are also discussed.
","language":"English","publisher":"American Society for Photogrammetry and Remote Sensing","doi":"10.14358/PERS.69.9.1003","usgsCitation":"Yang, L., Xian, G.Z., Klaver, J.M., and Deal, B., 2003, Urban land-cover change detection through sub-pixel imperviousness mapping using remotely sensed data: Photogrammetric Engineering and Remote Sensing, v. 69, no. 9, p. 1003-1010, https://doi.org/10.14358/PERS.69.9.1003.","productDescription":"8 p.","startPage":"1003","endPage":"1010","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":478346,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.14358/pers.69.9.1003","text":"Publisher Index Page"},{"id":310794,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"69","issue":"9","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"563496bfe4b048076348009b","contributors":{"authors":[{"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":578754,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Xian, George Z. 0000-0001-5674-2204 xian@usgs.gov","orcid":"https://orcid.org/0000-0001-5674-2204","contributorId":2263,"corporation":false,"usgs":true,"family":"Xian","given":"George","email":"xian@usgs.gov","middleInitial":"Z.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":578755,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Klaver, Jacqueline M.","contributorId":25423,"corporation":false,"usgs":true,"family":"Klaver","given":"Jacqueline","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":578756,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Deal, Brian","contributorId":149537,"corporation":false,"usgs":false,"family":"Deal","given":"Brian","email":"","affiliations":[],"preferred":false,"id":578757,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":47834,"text":"fs02203 - 2003 - The U.S. Geological Survey Land Remote Sensing Program","interactions":[{"subject":{"id":47834,"text":"fs02203 - 2003 - The U.S. Geological Survey Land Remote Sensing Program","indexId":"fs02203","publicationYear":"2003","noYear":false,"title":"The U.S. Geological Survey Land Remote Sensing Program"},"predicate":"SUPERSEDED_BY","object":{"id":79773,"text":"fs20073021 - 2007 - The U.S. Geological Survey Land Remote Sensing Program","indexId":"fs20073021","publicationYear":"2007","noYear":false,"title":"The U.S. Geological Survey Land Remote Sensing Program"},"id":1}],"supersededBy":{"id":79773,"text":"fs20073021 - 2007 - The U.S. Geological Survey Land Remote Sensing Program","indexId":"fs20073021","publicationYear":"2007","noYear":false,"title":"The U.S. Geological Survey Land Remote Sensing Program"},"lastModifiedDate":"2012-03-16T17:16:06","indexId":"fs02203","displayToPublicDate":"2003-08-01T00:00:00","publicationYear":"2003","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":"022-03","title":"The U.S. Geological Survey Land Remote Sensing Program","docAbstract":"In 2002, the U. S. Geological Survey (USGS) launched a program to enhance the acquisition, preservation, and use of remotely sensed data for USGS science programs, as well as for those of cooperators and customers. Remotely sensed data are fundamental tools for studying the Earth's land surface, including coastal and near-shore environments. For many decades, the USGS has been a leader in providing remotely sensed data to the national and international communities. Acting on its historical topographic mapping mission, the USGS has archived and distributed aerial photographs of the United States for more than half a century. Since 1972, the USGS has acquired, processed, archived, and distributed Landsat and other satellite and airborne remotely sensed data products to users worldwide. Today, the USGS operates and manages the Landsats 5 and 7 missions and cooperates with the National Aeronautics and Space Administration (NASA) to define and implement future satellite missions that will continue and expand the collection of moderate-resolution remotely sensed data.\r\n\r\n\r\nIn addition to being a provider of remotely sensed data, the USGS is a user of these data and related remote sensing technology. These data are used in natural resource evaluations for energy and minerals, coastal environmental surveys, assessments of natural hazards (earthquakes, volcanoes, and landslides), biological surveys and investigations, water resources status and trends analyses and studies, and geographic and cartographic applications, such as wildfire detection and tracking and as a source of information for The National Map. The program furthers these distinct but related roles by leading the USGS activities in providing remotely sensed data while advancing applications of such data for USGS programs and a wider user community.","language":"ENGLISH","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs02203","usgsCitation":"Water Resources Division, U.S. Geological Survey, 2003, The U.S. Geological Survey Land Remote Sensing Program: U.S. Geological Survey Fact Sheet 022-03, 2 p., https://doi.org/10.3133/fs02203.","productDescription":"2 p.","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":125766,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2003/0022/report-thumb.jpg"},{"id":84669,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2003/0022/report.pdf","linkFileType":{"id":1,"text":"pdf"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4abbe4b07f02db672aec","contributors":{"authors":[{"text":"Water Resources Division, U.S. Geological Survey","contributorId":128075,"corporation":true,"usgs":false,"organization":"Water Resources Division, U.S. Geological Survey","id":531764,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":47840,"text":"fs03203 - 2003 - Earth Observing-1 Extended Mission","interactions":[{"subject":{"id":47840,"text":"fs03203 - 2003 - Earth Observing-1 Extended Mission","indexId":"fs03203","publicationYear":"2003","noYear":false,"title":"Earth Observing-1 Extended Mission"},"predicate":"SUPERSEDED_BY","object":{"id":74503,"text":"fs20053060 - 2005 - Earth Observing-1 Extended Mission","indexId":"fs20053060","publicationYear":"2005","noYear":false,"title":"Earth Observing-1 Extended Mission"},"id":1}],"supersededBy":{"id":74503,"text":"fs20053060 - 2005 - Earth Observing-1 Extended Mission","indexId":"fs20053060","publicationYear":"2005","noYear":false,"title":"Earth Observing-1 Extended Mission"},"lastModifiedDate":"2012-02-27T14:10:03","indexId":"fs03203","displayToPublicDate":"2003-08-01T00:00:00","publicationYear":"2003","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":"032-03","title":"Earth Observing-1 Extended Mission","docAbstract":"From its beginning in November 2000, the NASA Earth Observing-1 (EO-1) mission demonstrated the feasibility and performance of a dozen innovative sensor, spacecraft, and operational technologies. The 1-year mission tested a variety of technologies, some of which may be included on the planned 2007 Landsat Data Continuity Mission. Onboard the spacecraft are two land remote sensing instruments: the Advanced Land Imager (ALI), which acquires data in spectral bands and at resolutions similar to Landsat, and Hyperion, which acquires data in 220 10-nanometer-wide bands covering the visible, near-, and shortwave-infrared bands.\n\nRecognizing the remarkable performance of the satellite's instruments and the exceptional value of the data, the U.S. Geological Survey (USGS) and NASA agreed in December 2001 to share responsibility for operating EO-1 on a cost-reimbursable basis as long as customer sales are sufficient to recover flight and ground operations costs.\n\nThe EO-1 extended mission operates within constraints imposed by its technology-pioneering origins, but it also provides unique and valuable capabilities. The spacecraft can acquire a target scene three times in a 16-day period. The ALI instrument has additional spectral coverage and greater radiometric dynamic range compared with the sensors on Landsat 7. Hyperion is the first civilian spaceborne hyperspectral imager. As of January 2003, more than 5,000 scenes had been acquired, indexed, and archived.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/fs03203","usgsCitation":"Water Resources Division, U.S. Geological Survey, 2003, Earth Observing-1 Extended Mission: U.S. Geological Survey Fact Sheet 032-03, 2 p., https://doi.org/10.3133/fs03203.","productDescription":"2 p.","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":4045,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2003/0032/","linkFileType":{"id":5,"text":"html"}},{"id":171509,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2003/0032/report-thumb.jpg"},{"id":84671,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2003/0032/report.pdf","linkFileType":{"id":1,"text":"pdf"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a52e4b07f02db62a91a","contributors":{"authors":[{"text":"Water Resources Division, U.S. Geological Survey","contributorId":128075,"corporation":true,"usgs":false,"organization":"Water Resources Division, U.S. Geological Survey","id":531766,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70159617,"text":"70159617 - 2003 - Landsat TM and ETM+ thermal band calibration","interactions":[],"lastModifiedDate":"2015-11-13T09:23:22","indexId":"70159617","displayToPublicDate":"2003-02-01T00:00:00","publicationYear":"2003","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":"Landsat TM and ETM+ thermal band calibration","docAbstract":"Landsat-5 has been imaging the Earth since March 1984, and Landsat-7 was added to the series of Landsat instruments in April 1999. The Landsat Project Science Office and the Landsat-7 Image Assessment System have been monitoring the on-board calibration of Landsat-7 since launch. Additionally, two separate university teams have been evaluating the on-board thermal calibration of Landsat-7 through ground-based measurements since launch. Although not monitored as closely over its lifetime, a new effort is currently being made to validate the calibration of Landsat-5. Two university teams are beginning to collect ground truth under Landsat-5, along with using other vicarious calibration methods to go back into the archive to validate the history of the calibration of Landsat-5. This paper considers the calibration efforts for the thermal band, band 6, of both the Landsat-5 and Landsat-7 instruments. Though stable since launch, Landsat-7 had an initial calibration error of about 3 K, and changes were made to correct for this beginning 1 October 2000 for data processed with the National Landsat Archive Production System (NLAPS) and beginning 20 December 2000 for data processed with the Landsat Product Generation System (LPGS). Recent results from Landsat-5 vicarious calibration efforts show an offset of 0.7 K over the lifetime of the instrument. This suggests that historical calibration efforts may have been detecting errors in processing systems rather than changes in the instrument. A correction to the Landsat-5 processing has not yet been implemented but will be in the near future.
","language":"English","publisher":"Canadian Aeronautics and Space Institute","doi":"10.5589/m02-087","usgsCitation":"Barsi, J., Schott, J.R., Palluconi, F., Helder, D., Hook, S., Markham, B.L., Chander, G., and O’Donnell, E.M., 2003, Landsat TM and ETM+ thermal band calibration: Canadian Journal of Remote Sensing, v. 29, no. 2, p. 141-153, https://doi.org/10.5589/m02-087.","productDescription":"13 p.","startPage":"141","endPage":"153","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":311289,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"29","issue":"2","noUsgsAuthors":false,"publicationDate":"2014-06-02","publicationStatus":"PW","scienceBaseUri":"564717cce4b0e2669b313118","contributors":{"authors":[{"text":"Barsi, J. A.","contributorId":24085,"corporation":false,"usgs":true,"family":"Barsi","given":"J. A.","affiliations":[],"preferred":false,"id":579731,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schott, J. R.","contributorId":16613,"corporation":false,"usgs":true,"family":"Schott","given":"J.","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":579732,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Palluconi, F. D.","contributorId":80854,"corporation":false,"usgs":true,"family":"Palluconi","given":"F. D.","affiliations":[],"preferred":false,"id":579733,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Helder, D. L. 0000-0002-7379-4679","orcid":"https://orcid.org/0000-0002-7379-4679","contributorId":51496,"corporation":false,"usgs":true,"family":"Helder","given":"D. L.","affiliations":[],"preferred":false,"id":579734,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hook, S.J.","contributorId":21711,"corporation":false,"usgs":true,"family":"Hook","given":"S.J.","email":"","affiliations":[],"preferred":false,"id":579735,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Markham, B. L.","contributorId":88872,"corporation":false,"usgs":true,"family":"Markham","given":"B.","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":579736,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Chander, G.","contributorId":51449,"corporation":false,"usgs":true,"family":"Chander","given":"G.","affiliations":[],"preferred":false,"id":579737,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"O’Donnell, E. M.","contributorId":149839,"corporation":false,"usgs":false,"family":"O’Donnell","given":"E.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":579738,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70157060,"text":"70157060 - 2003 - On-orbit performance of the Landsat-7 ETM+ radiometric calibrators","interactions":[],"lastModifiedDate":"2017-06-10T11:14:42","indexId":"70157060","displayToPublicDate":"2003-02-01T00:00:00","publicationYear":"2003","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":"On-orbit performance of the Landsat-7 ETM+ radiometric calibrators","docAbstract":"The Landsat-7 Enhanced Thematic Mapper Plus (ETM+) incorporates two new devices to improve its absolute radiometric calibration: a Full Aperture Solar Calibrator (FASC) and a Partial Aperture Solar Calibrator (PASC). The FASC is a diffuser panel, typically deployed once per month. Initial FASC absolute calibration results were within 5% of the pre-launch calibrations. Over time, the responses of the ETM+ to the FASC have varied with the location viewed on the panel, suggesting a localized degradation or contamination of the panel. On the best part of the panel, the trends in response range from m 1.4% y m 1 (band 4) to +0.6% y m 1 (band 7), with band 5 showing the least change at m 0.4% y m 1 . Changes in the panel reflectance due to UV exposure are believed to be the origin of these trends. The PASC is a set of auxiliary optics that allows the ETM+ to image the Sun through reduced apertures. PASC data have normally been acquired on a daily basis. Unlike the FASC, the PASC has exhibited significant anomalies. During the first six months of operation, responses to the PASC increased up to 60%, sending bands 2, 3 and 8 into saturation (band 1 was saturated at launch). The short-wave infrared (SWIR) band individual detectors have shown variations up to - 20% in response to the PASC. The variation is different for each detector. After the first six months, the responses to the PASC have become more stable, with much of the variation related to the within-scan position of the solar image. Overall results to date for all calibrators and comparisons with vicarious calibrations indicate that most of the response variations have been due to the calibrators themselves and suggest that the instrument has been stable with changes in response of less than 0.5% y m 1 .
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/01431160304974","usgsCitation":"Markham, B.L., Barker, J.L., Kaita, E., Seiferth, J., and Morfitt, R., 2003, On-orbit performance of the Landsat-7 ETM+ radiometric calibrators: International Journal of Remote Sensing, v. 24, no. 2, p. 265-285, https://doi.org/10.1080/01431160304974.","productDescription":"21 p.","startPage":"265","endPage":"285","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":307917,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"24","issue":"2","noUsgsAuthors":false,"publicationDate":"2010-11-26","publicationStatus":"PW","scienceBaseUri":"55e96f3fe4b0dacf699e7894","contributors":{"authors":[{"text":"Markham, Brian L. 0000-0002-9612-8169","orcid":"https://orcid.org/0000-0002-9612-8169","contributorId":121488,"corporation":false,"usgs":true,"family":"Markham","given":"Brian","email":"","middleInitial":"L.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":571386,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barker, J. L.","contributorId":115996,"corporation":false,"usgs":true,"family":"Barker","given":"J.","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":571387,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kaita, E.","contributorId":73777,"corporation":false,"usgs":true,"family":"Kaita","given":"E.","email":"","affiliations":[],"preferred":false,"id":571388,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Seiferth, J.","contributorId":147347,"corporation":false,"usgs":false,"family":"Seiferth","given":"J.","email":"","affiliations":[],"preferred":false,"id":571389,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Morfitt, Ron 0000-0002-4777-4877 rmorfitt@usgs.gov","orcid":"https://orcid.org/0000-0002-4777-4877","contributorId":4097,"corporation":false,"usgs":true,"family":"Morfitt","given":"Ron","email":"rmorfitt@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":571390,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70025415,"text":"70025415 - 2003 - Land use and land cover change in the Greater Yellowstone Ecosystem: 1975-1995","interactions":[],"lastModifiedDate":"2020-09-01T21:30:22.421569","indexId":"70025415","displayToPublicDate":"2003-01-01T00:00:00","publicationYear":"2003","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":"Land use and land cover change in the Greater Yellowstone Ecosystem: 1975-1995","docAbstract":"Shifts in the demographic and economic character of the Greater Yellowstone Ecosystem (GYE) are driving patterns of land cover and land use change in the region. Such changes may have important consequences for ecosystem functioning. The objective of this paper is to quantify the trajectories and rates of change in land cover and use across the GYE for the period 1975-1995 using satellite imagery. Spectral and geographic variables were used as inputs to classification tree regression analysis (CART) to find \"rules\" which defined land use and land cover classes on the landscape. The resulting CART functions were used to map land cover and land use across seven Landsat TM scenes for 1995. We then used a thresholding technique to identify locations that differed in spectral properties between the 1995 and 1985 time periods. These \"changed\" locations were classified using CART functions derived from spectral and geographic data from 1985. This was similarly done for the year 1975 based on Landsat MSS data. Differences between the 1975, 1985, and 1995 maps were considered change in land cover and use. We calibrated and tested the accuracy of our models using data acquired through manual interpretation of aerial photos. Elevation and vegetative indices derived from the remotely sensed satellite imagery explained the most variance in the land use and land cover classes (-i.e., defined the \"rules\" most often). Overall accuracies from our study were good, ranging from 94% at the coarsest level of detail to 74% at the finest. The largest changes over the study period were the increases in burned, urban, and mixed conifer-herbaceous classes and decreases in woody deciduous, mixed woody deciduous-herbaceous, and conifer habitats. These changes have important implications for ecological function and biodiversity. The expansion of mixed conifer classes may increase fuel loads and enhance risk to the growing number of rural homes. The reduction of woody deciduous cover types is likely reducing population sizes for the numerous plant and animal species that specialize on this habitat type. Some of these species are also negatively influenced by the increase of rural homes in and near woody deciduous habitats.
","language":"English","publisher":"Ecological Society of America","doi":"10.1890/1051-0761(2003)013[0687:LUALCC]2.0.CO;2","issn":"10510761","usgsCitation":"Parmenter, A., Hansen, A., Kennedy, R., Cohen, W., Langner, U., Lawrence, R., Maxwell, B., Gallant, A., and Aspinall, R., 2003, Land use and land cover change in the Greater Yellowstone Ecosystem: 1975-1995: Ecological Applications, v. 13, no. 3, p. 687-703, https://doi.org/10.1890/1051-0761(2003)013[0687:LUALCC]2.0.CO;2.","productDescription":"17 p.","startPage":"687","endPage":"703","numberOfPages":"17","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":235743,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho, Montana, Wyoming","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -111.192626953125,\n 43.95328204198018\n ],\n [\n -109.434814453125,\n 43.95328204198018\n ],\n [\n -109.434814453125,\n 45.29034662473613\n ],\n [\n -111.192626953125,\n 45.29034662473613\n ],\n [\n -111.192626953125,\n 43.95328204198018\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"13","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a42ebe4b0c8380cd65fab","contributors":{"authors":[{"text":"Parmenter, A.W.","contributorId":45877,"corporation":false,"usgs":true,"family":"Parmenter","given":"A.W.","email":"","affiliations":[],"preferred":false,"id":405081,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hansen, A.","contributorId":81675,"corporation":false,"usgs":true,"family":"Hansen","given":"A.","affiliations":[],"preferred":false,"id":405083,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kennedy, R.E.","contributorId":99353,"corporation":false,"usgs":true,"family":"Kennedy","given":"R.E.","email":"","affiliations":[],"preferred":false,"id":405085,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cohen, W.","contributorId":36347,"corporation":false,"usgs":true,"family":"Cohen","given":"W.","email":"","affiliations":[],"preferred":false,"id":405080,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Langner, U.","contributorId":31959,"corporation":false,"usgs":true,"family":"Langner","given":"U.","email":"","affiliations":[],"preferred":false,"id":405079,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lawrence, R.","contributorId":101430,"corporation":false,"usgs":false,"family":"Lawrence","given":"R.","email":"","affiliations":[],"preferred":false,"id":405087,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Maxwell, B.","contributorId":56615,"corporation":false,"usgs":true,"family":"Maxwell","given":"B.","email":"","affiliations":[],"preferred":false,"id":405082,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Gallant, Alisa 0000-0002-3029-6637","orcid":"https://orcid.org/0000-0002-3029-6637","contributorId":99354,"corporation":false,"usgs":true,"family":"Gallant","given":"Alisa","affiliations":[],"preferred":false,"id":405086,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Aspinall, R.","contributorId":89706,"corporation":false,"usgs":true,"family":"Aspinall","given":"R.","email":"","affiliations":[],"preferred":false,"id":405084,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":1008238,"text":"1008238 - 2003 - The use of multi-temporal Landsat Normalized Difference Vegetation Index (NDVI) data for mapping fuels in Yosemite National Park, USA","interactions":[],"lastModifiedDate":"2016-09-28T11:30:24","indexId":"1008238","displayToPublicDate":"2003-01-01T00:00:00","publicationYear":"2003","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":"The use of multi-temporal Landsat Normalized Difference Vegetation Index (NDVI) data for mapping fuels in Yosemite National Park, USA","docAbstract":"The objective of this study was to test the applicability of using Normalized Difference Vegetation Index (NDVI) values derived from a temporal sequence of six Landsat Thematic Mapper (TM) scenes to map fuel models for Yosemite National Park, USA. An unsupervised classification algorithm was used to define 30 unique spectral-temporal classes of NDVI values. A combination of graphical, statistical and visual techniques was used to characterize the 30 classes and identify those that responded similarly and could be combined into fuel models. The final classification of fuel models included six different types: short annual and perennial grasses, tall perennial grasses, medium brush and evergreen hardwoods, short-needled conifers with no heavy fuels, long-needled conifers and deciduous hardwoods, and short-needled conifers with a component of heavy fuels. The NDVI, when analysed over a season of phenologically distinct periods along with ancillary data, can elicit information necessary to distinguish fuel model types. Fuels information derived from remote sensors has proven to be useful for initial classification of fuels and has been applied to fire management situations on the ground.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/01431160210144679","usgsCitation":"Van Wagtendonk, J.W., and Root, R.R., 2003, The use of multi-temporal Landsat Normalized Difference Vegetation Index (NDVI) data for mapping fuels in Yosemite National Park, USA: International Journal of Remote Sensing, v. 24, no. 8, p. 1639-1651, https://doi.org/10.1080/01431160210144679.","productDescription":"13 p.","startPage":"1639","endPage":"1651","numberOfPages":"13","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":132207,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"24","issue":"8","noUsgsAuthors":false,"publicationDate":"2010-11-26","publicationStatus":"PW","scienceBaseUri":"4f4e4a5fe4b07f02db634851","contributors":{"authors":[{"text":"Van Wagtendonk, Jan W. jan_van_wagtendonk@usgs.gov","contributorId":2648,"corporation":false,"usgs":true,"family":"Van Wagtendonk","given":"Jan","email":"jan_van_wagtendonk@usgs.gov","middleInitial":"W.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":317115,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Root, Ralph R.","contributorId":174937,"corporation":false,"usgs":false,"family":"Root","given":"Ralph","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":317116,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70182537,"text":"70182537 - 2003 - Regional forest land cover characterisation using medium spatial resolution satellite data","interactions":[],"lastModifiedDate":"2018-03-08T13:12:19","indexId":"70182537","displayToPublicDate":"2003-01-01T00:00:00","publicationYear":"2003","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"14","title":"Regional forest land cover characterisation using medium spatial resolution satellite data","docAbstract":"Increasing demands on forest resources require comprehensive, consistent and up-to-date information on those resources at spatial scales appropriate for management decision-making and for scientific analysis. While such information can be derived using coarse spatial resolution satellite data (e.g. Tucker et al. 1984; Zhu and Evans 1994; Cihlar et al. 1996; Cihlar et al., Chapter 12), many regional applications require more spatial and thematic details than can be derived by using coarse resolution imagery. High spatial resolution satellite data such as IKONOS and Quick Bird images (Aplin et al. 1997), though usable for deriving detailed forest information (Culvenor, Chapter 9), are currently not feasible for wall-to-wall regional applications because of extremely high data cost, huge data volume, and lack of contiguous coverage over large areas. Forest studies over large areas have often been accomplished using data acquired by intermediate spatial resolution sensor systems, including the Multi-Spectral Scanner (MSS), Thematic Mapper (TM) and the Enhanced Thematic Mapper Plus (ETM+) of Landsat, the High Resolution Visible (HRV) of the Systeme Pour l'Observation de la Terre (SPOT), and the Linear Image Self-Scanner (LISS) of the Indian Remote Sensing satellite. These sensor systems are more appropriate for regional applications because they can routinely produce spatially contiguous data over large areas at relatively low cost, and can be used to derive a host of forest attributes (e.g. Cohen et al. 1995; Kimes et al. 1999; Cohen et al. 2001; Huang et al. 2001; Sugumaran 2001). Of the above intermediate spatial resolution satellites, Landsat is perhaps the most widely used in various types of land remote sensing applications, in part because it has provided more extensive spatial and temporal coverage of the globe than any other intermediate resolution satellite. Spatially contiguous Landsat data have been developed for many regions of the globe (e.g. Lunetta and Sturdevant 1993; Fuller et al. 1994b; Skole et al. 1997), and a circa 1990 Landsat image data set covering the entire land area of the globe has also been developed recently (Jones and Smith 2001). An acquisition strategy aimed at acquiring at least one cloud free image per year for the entire land area of the globe has been initiated for Landsat-7 (Arvidson et al. 2001). This will probably ensure the continued dominance of Landsat in the near future.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Remote sensing of forest environments: Concepts and case studies","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Kluwer Academic","publisherLocation":"Boston, MA","isbn":"978-1-4020-7405-9","usgsCitation":"Huang, C., Homer, C.G., and Yang, L., 2003, Regional forest land cover characterisation using medium spatial resolution satellite data, chap. 14 of Remote sensing of forest environments: Concepts and case studies, p. 389-410.","productDescription":"22 p.","startPage":"389","endPage":"410","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":336187,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":352339,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://www.springer.com/us/book/9781402074059"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58b15442e4b01ccd54fc5ecf","contributors":{"editors":[{"text":"Wulder, Michael A.","contributorId":189990,"corporation":false,"usgs":false,"family":"Wulder","given":"Michael","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":730619,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Franklin, Steven E.","contributorId":103135,"corporation":false,"usgs":false,"family":"Franklin","given":"Steven","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":730620,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Huang, Chengquan 0000-0003-0055-9798","orcid":"https://orcid.org/0000-0003-0055-9798","contributorId":198972,"corporation":false,"usgs":false,"family":"Huang","given":"Chengquan","email":"","affiliations":[{"id":7261,"text":"Department of Geographical Sciences, University of Maryland, College Park, MD, 20742","active":true,"usgs":false}],"preferred":false,"id":671466,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":671467,"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":671468,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70024635,"text":"70024635 - 2003 - Landsat multispectral sharpening using a sensor system model and panchromatic image","interactions":[],"lastModifiedDate":"2012-03-12T17:20:07","indexId":"70024635","displayToPublicDate":"2003-01-01T00:00:00","publicationYear":"2003","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Landsat multispectral sharpening using a sensor system model and panchromatic image","docAbstract":"The thematic mapper (TM) sensor aboard Landsats 4, 5 and enhanced TM plus (ETM+) on Landsat 7 collect imagery at 30-m sample distance in six spectral bands. New with ETM+ is a 15-m panchromatic (P) band. With image sharpening techniques, this higher resolution P data, or as an alternative, the 10-m (or 5-m) P data of the SPOT satellite, can increase the spatial resolution of the multispectral (MS) data. Sharpening requires that the lower resolution MS image be coregistered and resampled to the P data before high spatial frequency information is transferred to the MS data. For visual interpretation and machine classification tasks, it is important that the sharpened data preserve the spectral characteristics of the original low resolution data. A technique was developed for sharpening (in this case, 3:1 spatial resolution enhancement) visible spectral band data, based on a model of the sensor system point spread function (PSF) in order to maintain spectral fidelity. It combines high-pass (HP) filter sharpening methods with iterative image restoration to reduce degradations caused by sensor-system-induced blurring and resembling. Also there is a spectral fidelity requirement: sharpened MS when filtered by the modeled degradations should reproduce the low resolution source MS. Quantitative evaluation of sharpening performance was made by using simulated low resolution data generated from digital color-IR aerial photography. In comparison to the HP-filter-based sharpening method, results for the technique in this paper with simulated data show improved spectral fidelity. Preliminary results with TM 30-m visible band data sharpened with simulated 10-m panchromatic data are promising but require further study.","largerWorkTitle":"Proceedings of SPIE - The International Society for Optical Engineering","conferenceTitle":"PROCEEDINGS OF SPIE SPIE - The International Society for Optical Engineering: Visual Information Processing XII","conferenceDate":"21 April 2003 through 21 April 2003","conferenceLocation":"Orlando, FL","language":"English","doi":"10.1117/12.487262","issn":"0277786X","usgsCitation":"Lemeshewsky, G., 2003, Landsat multispectral sharpening using a sensor system model and panchromatic image, in Proceedings of SPIE - The International Society for Optical Engineering, v. 5108, Orlando, FL, 21 April 2003 through 21 April 2003, p. 295-306, https://doi.org/10.1117/12.487262.","startPage":"295","endPage":"306","numberOfPages":"12","costCenters":[],"links":[{"id":207825,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1117/12.487262"},{"id":233059,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"5108","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a43eee4b0c8380cd666e6","contributors":{"editors":[{"text":"Rahman Z.Schowengerdt R.A.Reichenbach S.E.","contributorId":128448,"corporation":true,"usgs":false,"organization":"Rahman Z.Schowengerdt R.A.Reichenbach S.E.","id":536535,"contributorType":{"id":2,"text":"Editors"},"rank":1}],"authors":[{"text":"Lemeshewsky, G.P.","contributorId":106927,"corporation":false,"usgs":true,"family":"Lemeshewsky","given":"G.P.","affiliations":[],"preferred":false,"id":402046,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70025794,"text":"70025794 - 2003 - Timing of recent accelerations of Pine Island Glacier, Antarctica","interactions":[],"lastModifiedDate":"2018-11-01T14:28:56","indexId":"70025794","displayToPublicDate":"2003-01-01T00:00:00","publicationYear":"2003","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Timing of recent accelerations of Pine Island Glacier, Antarctica","docAbstract":"We have used Interferometric Synthetic Aperture Radar (InSAR) data and sequential Landsat imagery to identify and temporally constrain two acceleration events on Pine Island Glacier (PIG). These two events are separated by a period of at least seven years (1987 - 1994). The change in discharge between two flux gates indicates that the majority of the increase in discharge associated with the second acceleration originates well inland (>80 km) from the grounding line. An analysis indicates that changes in driving stress consistent with observed thinning rates are sufficient in magnitude to explain much of the acceleration.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geophysical Research Letters","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Geophysical Union","doi":"10.1029/2003GL017609","issn":"00948276","usgsCitation":"Joughin, I., Rignot, E., Rosanova, C.E., Lucchitta, B.K., and Bohlander, J., 2003, Timing of recent accelerations of Pine Island Glacier, Antarctica: Geophysical Research Letters, v. 30, no. 13, 4 p., https://doi.org/10.1029/2003GL017609.","productDescription":"4 p.","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":478473,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://escholarship.org/uc/item/00m2p7sb","text":"External Repository"},{"id":234823,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Antarctica","otherGeospatial":"Pine Island Glacier","volume":"30","issue":"13","noUsgsAuthors":false,"publicationDate":"2003-07-11","publicationStatus":"PW","scienceBaseUri":"505bb3f5e4b08c986b3260bd","contributors":{"authors":[{"text":"Joughin, I.","contributorId":105084,"corporation":false,"usgs":true,"family":"Joughin","given":"I.","affiliations":[],"preferred":false,"id":406607,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rignot, Eric","contributorId":34760,"corporation":false,"usgs":true,"family":"Rignot","given":"Eric","email":"","affiliations":[],"preferred":false,"id":406604,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rosanova, Christine E.","contributorId":77239,"corporation":false,"usgs":true,"family":"Rosanova","given":"Christine","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":406605,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lucchitta, Baerbel K. blucchitta@usgs.gov","contributorId":3649,"corporation":false,"usgs":true,"family":"Lucchitta","given":"Baerbel","email":"blucchitta@usgs.gov","middleInitial":"K.","affiliations":[],"preferred":true,"id":406603,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bohlander, J.","contributorId":82101,"corporation":false,"usgs":true,"family":"Bohlander","given":"J.","email":"","affiliations":[],"preferred":false,"id":406606,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70025665,"text":"70025665 - 2003 - Characterization of intra-annual reflectance properties of land cover classes in southeastern South Dakota using Landsat TM and ETM+ data","interactions":[],"lastModifiedDate":"2015-09-04T09:57:58","indexId":"70025665","displayToPublicDate":"2003-01-01T00:00:00","publicationYear":"2003","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":"Characterization of intra-annual reflectance properties of land cover classes in southeastern South Dakota using Landsat TM and ETM+ data","docAbstract":"Landsat-7 and Landsat-5 have orbits that are offset from each other by 8 days. During the time that the sensors on both satellites are operational, there is an opportunity for conducting analyses that incorporate multiple intra-annual high spatial resolution data sets for characterizing the Earth's land surface. In the current study, nine Landsat thematic mapper (TM) and enhanced thematic mapper plus (ETM+) data sets, covering the same path and row on different dates, were acquired during a 1-year time interval for a region in southeastern South Dakota and analyzed. Scenes were normalized using pseudoinvariant objects, and digital data from a series of test sites were extracted from the imagery and converted to surface reflectance. Sunphotometer data acquired on site were used to atmospherically correct the data. Ground observations that were made throughout the growing season by a large group of volunteers were used to help interpret spectroradiometric patterns and trends. Normalized images were found to be very effective in portraying the seasonal patterns of reflectance change that occurred throughout the region. Many of the radiometric patterns related to plant growth and development, but some also related to different background properties. The different kinds of land cover in the region were spectrally and radiometrically characterized and were found to have different seasonal patterns of reflectance. The degree to which the land cover classes could be separated spectrally and radiometrically, however, depended on the time of year during which the data sets were acquired, and no single data set appeared to be adequate for separating all types of land cover. This has practical implications for classification studies because known patterns of seasonal reflectance properties for the different types of land cover within a region will facilitate selection of the most appropriate data sets for producing land cover classifications.
","language":"English","publisher":"Canadian Aeronautics and Space Institute","doi":"10.5589/m02-097","issn":"07038992","usgsCitation":"Vogelmann, J., and DeFelice, T.P., 2003, Characterization of intra-annual reflectance properties of land cover classes in southeastern South Dakota using Landsat TM and ETM+ data: Canadian Journal of Remote Sensing, v. 29, no. 2, p. 219-229, https://doi.org/10.5589/m02-097.","productDescription":"11 p.","startPage":"219","endPage":"229","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":234528,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"29","issue":"2","noUsgsAuthors":false,"publicationDate":"2014-06-02","publicationStatus":"PW","scienceBaseUri":"5059f4cde4b0c8380cd4bf14","contributors":{"authors":[{"text":"Vogelmann, James E. 0000-0002-0804-5823 vogel@usgs.gov","orcid":"https://orcid.org/0000-0002-0804-5823","contributorId":649,"corporation":false,"usgs":true,"family":"Vogelmann","given":"James E.","email":"vogel@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":406087,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"DeFelice, Thomas P.","contributorId":103831,"corporation":false,"usgs":true,"family":"DeFelice","given":"Thomas","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":406088,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70025645,"text":"70025645 - 2003 - Towards developing Kentucky's landscape change maps","interactions":[],"lastModifiedDate":"2012-03-12T17:20:21","indexId":"70025645","displayToPublicDate":"2003-01-01T00:00:00","publicationYear":"2003","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1191,"text":"Cartography and Geographic Information Science","active":true,"publicationSubtype":{"id":10}},"title":"Towards developing Kentucky's landscape change maps","docAbstract":"The Kentucky Landscape Snapshot Project, a NASA-funded project, was established to provide a first baseline land cover/land use map for Kentucky. Through this endeavor, change detection will be institutionalized, thus aiding in decision-making at the local, state, and federal planning levels. 2002 Landsat 7 imaginery was classified following and Anderson Level III scheme, providing an enhancement over the 1992 USGS National Land Cover Data Set. Also as part of the deliverables, imperviousness and canopy closure layers were produced with the aid of IKONOS high resolution, multispectral imagery.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Cartography and Geographic Information Science","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1559/152304003100011153","issn":"15230406","usgsCitation":"Zourarakis, D., Lambert, S., and Palmer, M., 2003, Towards developing Kentucky's landscape change maps: Cartography and Geographic Information Science, v. 30, no. 2, p. 175-178, https://doi.org/10.1559/152304003100011153.","startPage":"175","endPage":"178","numberOfPages":"4","costCenters":[],"links":[{"id":234776,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":208783,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1559/152304003100011153"}],"volume":"30","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bb5bee4b08c986b326889","contributors":{"authors":[{"text":"Zourarakis, D.P.","contributorId":85759,"corporation":false,"usgs":true,"family":"Zourarakis","given":"D.P.","email":"","affiliations":[],"preferred":false,"id":406003,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lambert, S.C.","contributorId":92289,"corporation":false,"usgs":true,"family":"Lambert","given":"S.C.","email":"","affiliations":[],"preferred":false,"id":406004,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Palmer, M.","contributorId":66456,"corporation":false,"usgs":true,"family":"Palmer","given":"M.","affiliations":[],"preferred":false,"id":406002,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70025644,"text":"70025644 - 2003 - An approach for mapping large-area impervious surfaces: Synergistic use of Landsat-7 ETM+ and high spatial resolution imagery","interactions":[],"lastModifiedDate":"2018-02-23T13:34:18","indexId":"70025644","displayToPublicDate":"2003-01-01T00:00:00","publicationYear":"2003","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":"An approach for mapping large-area impervious surfaces: Synergistic use of Landsat-7 ETM+ and high spatial resolution imagery","docAbstract":"A wide range of urban ecosystem studies, including urban hydrology, urban climate, land use planning, and resource management, require current and accurate geospatial data of urban impervious surfaces. We developed an approach to quantify urban impervious surfaces as a continuous variable by using multisensor and multisource datasets. Subpixel percent impervious surfaces at 30-m resolution were mapped using a regression tree model. The utility, practicality, and affordability of the proposed method for large-area imperviousness mapping were tested over three spatial scales (Sioux Falls, South Dakota, Richmond, Virginia, and the Chesapeake Bay areas of the United States). Average error of predicted versus actual percent impervious surface ranged from 8.8 to 11.4%, with correlation coefficients from 0.82 to 0.91. The approach is being implemented to map impervious surfaces for the entire United States as one of the major components of the circa 2000 national land cover database.
","language":"English","publisher":"Canadian Aeronautics and Space Institute","doi":"10.5589/m02-098","issn":"07038992","usgsCitation":"Yang, L., Huang, C., Homer, C.G., Wylie, B.K., and Coan, M., 2003, An approach for mapping large-area impervious surfaces: Synergistic use of Landsat-7 ETM+ and high spatial resolution imagery: Canadian Journal of Remote Sensing, v. 29, no. 2, p. 230-240, https://doi.org/10.5589/m02-098.","productDescription":"11 p.","startPage":"230","endPage":"240","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":234740,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"29","issue":"2","noUsgsAuthors":false,"publicationDate":"2014-06-02","publicationStatus":"PW","scienceBaseUri":"5059ea0ae4b0c8380cd485c9","contributors":{"authors":[{"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":405997,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Huang, Chengquan 0000-0003-0055-9798","orcid":"https://orcid.org/0000-0003-0055-9798","contributorId":198972,"corporation":false,"usgs":false,"family":"Huang","given":"Chengquan","email":"","affiliations":[{"id":7261,"text":"Department of Geographical Sciences, University of Maryland, College Park, MD, 20742","active":true,"usgs":false}],"preferred":false,"id":406001,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":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":405999,"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":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":405998,"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":406000,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70025439,"text":"70025439 - 2003 - Mapping hydrothermally altered rocks at Cuprite, Nevada, using the advanced spaceborne thermal emission and reflection radiometer (Aster), a new satellite-imaging system","interactions":[],"lastModifiedDate":"2012-03-12T17:20:59","indexId":"70025439","displayToPublicDate":"2003-01-01T00:00:00","publicationYear":"2003","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1472,"text":"Economic Geology","active":true,"publicationSubtype":{"id":10}},"title":"Mapping hydrothermally altered rocks at Cuprite, Nevada, using the advanced spaceborne thermal emission and reflection radiometer (Aster), a new satellite-imaging system","docAbstract":"The Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) is a 14-band multispectral instrument on board the Earth Observing System (EOS), TERRA. The three bands between 0.52 and 0.86 ??m and the six bands from 1.60 and 2.43 ??m, which have 15- and 30-m spatial resolution, respectively, were selected primarily for making remote mineralogical determinations. The Cuprite, Nevada, mining district comprises two hydrothermal alteration centers where Tertiary volcanic rocks have been hydrothermally altered mainly to bleached silicified rocks and opalized rocks, with a marginal zone of limonitic argilized rocks. Country rocks are mainly Cambrian phyllitic siltstone and limestone. Evaluation of an ASTER image of the Cuprite district shows that spectral reflectance differences in the nine bands in the 0.52 to 2.43 ??m region provide a basis for identifying and mapping mineralogical components which characterize the main hydrothermal alteration zones: opal is the spectrally dominant mineral in the silicified zone; whereas, alunite and kaolinite are dominant in the opalized zone. In addition, the distribution of unaltered country rocks was mapped because of the presence of spectrally dominant muscovite in the siltstone and calcite in limestone, and the tuffaceous rocks and playa deposits were distinguishable due to their relatively flat spectra and weak absorption features at 2.33 and 2.20 ??m, respectively. An Airborne Visible/Infrared Imaging Spectrometer (AVIRIS) image of the study area was processed using a similar methodology used with the ASTER data. Comparison of the ASTER and AVIRIS results shows that the results are generally similar, but the higher spectral resolution of AVIRIS (224 bands) permits identification of more individual minerals, including certain polymorphs. However, ASTER has recorded images of more than 90 percent of the Earth's land surface with less than 20 percent cloud cover, and these data are available at nominal or no cost. Landsat TM images have a similar spatial resolution to ASTER images, but TM has fewer bands, which limits its usefulness for making mineral determinations.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Economic Geology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","issn":"03610128","usgsCitation":"Rowan, L.C., Hook, S., Abrams, M.J., and Mars, J., 2003, Mapping hydrothermally altered rocks at Cuprite, Nevada, using the advanced spaceborne thermal emission and reflection radiometer (Aster), a new satellite-imaging system: Economic Geology, v. 98, no. 5, p. 1019-1027.","startPage":"1019","endPage":"1027","numberOfPages":"9","costCenters":[],"links":[{"id":236117,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"98","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a5059e4b0c8380cd6b629","contributors":{"authors":[{"text":"Rowan, L. C.","contributorId":40584,"corporation":false,"usgs":true,"family":"Rowan","given":"L.","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":405166,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hook, S.J.","contributorId":21711,"corporation":false,"usgs":true,"family":"Hook","given":"S.J.","email":"","affiliations":[],"preferred":false,"id":405164,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Abrams, M. J.","contributorId":29859,"corporation":false,"usgs":true,"family":"Abrams","given":"M.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":405165,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mars, J.C.","contributorId":74833,"corporation":false,"usgs":true,"family":"Mars","given":"J.C.","affiliations":[],"preferred":false,"id":405167,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70025230,"text":"70025230 - 2003 - Statistical sampling to characterize recent United States land-cover change","interactions":[],"lastModifiedDate":"2017-04-10T10:41:47","indexId":"70025230","displayToPublicDate":"2003-01-01T00:00:00","publicationYear":"2003","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":"Statistical sampling to characterize recent United States land-cover change","docAbstract":"The U.S. Geological Survey, in conjunction with the U.S. Environmental Protection Agency, is conducting a study focused on developing methods for estimating changes in land-cover and landscape pattern for the conterminous United States from 1973 to 2000. Eleven land-cover and land-use classes are interpreted from Landsat imagery for five sampling dates. Because of the high cost and potential effect of classification error associated with developing change estimates from wall-to-wall land-cover maps, a probability sampling approach is employed. The basic sampling unit is a 20 x 20 km area, and land cover is obtained for each 60 x 60 m pixel within the sampling unit. The sampling design is stratified based on ecoregions, and land-cover change estimates are constructed for each stratum. The sampling design and analyses are documented, and estimates of change accompanied by standard errors are presented to demonstrate the methodology. Analyses of the completed strata suggest that the sampling unit should be reduced to a 10 x 10 km block, and poststratified estimation and regression estimation are viable options to improve precision of estimated change. ?? 2003 Elsevier Inc. All rights reserved.","language":"English","publisher":"Elsevier","doi":"10.1016/S0034-4257(03)00129-9","issn":"00344257","usgsCitation":"Stehman, S., Sohl, T.L., and Loveland, T., 2003, Statistical sampling to characterize recent United States land-cover change: Remote Sensing of Environment, v. 86, no. 4, p. 517-529, https://doi.org/10.1016/S0034-4257(03)00129-9.","productDescription":"13 p.","startPage":"517","endPage":"529","numberOfPages":"13","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":235810,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":209405,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/S0034-4257(03)00129-9"}],"volume":"86","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b9742e4b08c986b31b9a1","contributors":{"authors":[{"text":"Stehman, S.V.","contributorId":91974,"corporation":false,"usgs":false,"family":"Stehman","given":"S.V.","email":"","affiliations":[{"id":27852,"text":"State University of New York, Syracuse","active":true,"usgs":false}],"preferred":false,"id":404321,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sohl, Terry L. 0000-0002-9771-4231","orcid":"https://orcid.org/0000-0002-9771-4231","contributorId":76419,"corporation":false,"usgs":true,"family":"Sohl","given":"Terry","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":404320,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Loveland, Thomas R. 0000-0003-3114-6646","orcid":"https://orcid.org/0000-0003-3114-6646","contributorId":106125,"corporation":false,"usgs":true,"family":"Loveland","given":"Thomas R.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":false,"id":404322,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70025165,"text":"70025165 - 2003 - The 1997 eruption of Okmok Volcano, Alaska: A synthesis of remotely sensed imagery","interactions":[],"lastModifiedDate":"2017-04-10T10:20:33","indexId":"70025165","displayToPublicDate":"2003-01-01T00:00:00","publicationYear":"2003","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2499,"text":"Journal of Volcanology and Geothermal Research","active":true,"publicationSubtype":{"id":10}},"title":"The 1997 eruption of Okmok Volcano, Alaska: A synthesis of remotely sensed imagery","docAbstract":"Okmok Volcano, in the eastern Aleutian Islands, erupted in February and March of 1997 producing a 6-km-long lava flow and low-level ash plumes. This caldera is one of the most active in the Aleutian Arc, and is now the focus of international multidisciplinary studies. A synthesis of remotely sensed data (AirSAR, derived DEMs, Landsat MSS and ETM+ data, AVHRR, ERS, JERS, Radarsat) has given a sequence of events for the virtually unobserved 1997 eruption. Elevation data from the AirSAR sensor acquired in October 2000 over Okmok were used to create a 5-m resolution DEM mosaic of Okmok Volcano. AVHRR nighttime imagery has been analyzed between February 13 and April 11, 1997. Landsat imagery and SAR data recorded prior to and after the eruption allowed us to accurately determine the extent of the new flow. The flow was first observed on February 13 without precursory thermal anomalies. At this time, the flow was a large single lobe flowing north. According to AVHRR Band 3 and 4 radiance data and ground observations, the first lobe continued growing until mid to late March, while a second, smaller lobe began to form sometime between March 11 and 12. This is based on a jump in the thermal and volumetric flux determined from the imagery, and the physical size of the thermal anomalies. Total radiance values waned after March 26, indicating lava effusion had ended and a cooling crust was growing. The total area (8.9 km2), thickness (up to 50 m) and volume (1.54×108 m3) of the new lava flow were determined by combining observations from SAR, Landsat ETM+, and AirSAR DEM data. While the first lobe of the flow ponded in a pre-eruption depression, our data suggest the second lobe was volume-limited. Remote sensing has become an integral part of the Alaska Volcano Observatory’s monitoring and hazard mitigation efforts. Studies like this allow access to remote volcanoes, and provide methods to monitor potentially dangerous ones.
","language":"English","publisher":"Elsevier","doi":"10.1016/S0377-0273(03)00180-X","issn":"03770273","usgsCitation":"Patrick, M., Dehn, J., Papp, K., Lu, Z., Dean, K., Moxey, L., Izbekov, P., and Guritz, R., 2003, The 1997 eruption of Okmok Volcano, Alaska: A synthesis of remotely sensed imagery: Journal of Volcanology and Geothermal Research, v. 127, no. 1-2, p. 87-105, https://doi.org/10.1016/S0377-0273(03)00180-X.","productDescription":"19 p.","startPage":"87","endPage":"105","numberOfPages":"19","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":478528,"rank":10000,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.725.4123","text":"External Repository"},{"id":235920,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":209455,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/S0377-0273(03)00180-X"}],"volume":"127","issue":"1-2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505ba63de4b08c986b320fb2","contributors":{"authors":[{"text":"Patrick, M.R.","contributorId":96059,"corporation":false,"usgs":true,"family":"Patrick","given":"M.R.","email":"","affiliations":[],"preferred":false,"id":404073,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dehn, J.","contributorId":36731,"corporation":false,"usgs":true,"family":"Dehn","given":"J.","email":"","affiliations":[],"preferred":false,"id":404069,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Papp, K.R.","contributorId":107907,"corporation":false,"usgs":true,"family":"Papp","given":"K.R.","email":"","affiliations":[],"preferred":false,"id":404076,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lu, Z.","contributorId":106241,"corporation":false,"usgs":true,"family":"Lu","given":"Z.","affiliations":[],"preferred":false,"id":404075,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dean, K.","contributorId":42767,"corporation":false,"usgs":false,"family":"Dean","given":"K.","email":"","affiliations":[{"id":13097,"text":"Geophysical Institute, University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":404070,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Moxey, L.","contributorId":104263,"corporation":false,"usgs":true,"family":"Moxey","given":"L.","email":"","affiliations":[],"preferred":false,"id":404074,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Izbekov, P.","contributorId":46748,"corporation":false,"usgs":true,"family":"Izbekov","given":"P.","affiliations":[],"preferred":false,"id":404071,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Guritz, R.","contributorId":56428,"corporation":false,"usgs":true,"family":"Guritz","given":"R.","email":"","affiliations":[],"preferred":false,"id":404072,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ]}