Publications
Below is a list of the most recent EROS peer-reviewed scientific papers, reports, fact sheets, and other publications. You can search all our publication holdings by type, topic, year, and order.
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Filter Total Items: 2642
The Conterminous United States Mineral Assessment Program; background information to accompany folio of geologic, geochemical, remote sensing, and mineral resources maps of the Butte 1 degree x 2 degrees Quadrangle, Montana The Conterminous United States Mineral Assessment Program; background information to accompany folio of geologic, geochemical, remote sensing, and mineral resources maps of the Butte 1 degree x 2 degrees Quadrangle, Montana
The Butte 1?x2 ? quadrangle in west-central Montana was investigated as part of the U.S. Geological Survey's Conterminous United States Mineral Assessment Program (CUSMAP). These investigations included geologic mapping, geochemical surveys, gravity and aeromagnetic surveys, examinations of mineral deposits, and specialized geochronologic and remote-sensing studies. The data collected...
Authors
James E. Elliott, C. M. Trautwein, C. A. Wallace, G. K. Lee, L. C. Rowan, W. F. Hanna
An earth remote sensing satellite- 1 Synthetic Aperture Radar Mosaic of the Tanana River Basin in Alaska An earth remote sensing satellite- 1 Synthetic Aperture Radar Mosaic of the Tanana River Basin in Alaska
Because the pixel location in a line of Synthetic Aperture Radar (SAR) image data is directly related to the distance the pixel is from the radar, terrain elevations cause large displacement errors in the geo-referenced location of the pixel. This is especially true for radar systems with small angles between the nadir and look vectors. Thus, to geo-register a SAR image accurately, the...
Authors
Charles E. Wivell, Coert Olmsted, Daniel R. Steinwand, Christopher Taylor
EROS Data Center relishes role as earth science data archive EROS Data Center relishes role as earth science data archive
No abstract available.
Authors
D. H. Zoller, J. A. Sturdevant
Evaluation of terrain models for the geocoding and terrain correction, of synthetic aperture radar (SAR) images Evaluation of terrain models for the geocoding and terrain correction, of synthetic aperture radar (SAR) images
The variability of the resolutions and the presence of artifacts cause inaccurate correction of the terrain-induced geometric distortions in synthetic-aperture radar (SAR) images. To quantify the effects of these inaccuracies on SAR terrain correction, corrections of a Seasat SAR image were performed using a 1 degrees US Geological Survey (USGS) terrain model, a 7.5-min USGS terrain...
Authors
C. E. Wivell, Daniel R. Steinwand, G. G. Kelly, D. J. Meyer
Destriping of Landsat MSS images by filtering techniques Destriping of Landsat MSS images by filtering techniques
The removal of striping noise encountered in the Landsat Multispectral Scanner (MSS) images can be generally done by using frequency filtering techniques. Frequency domain filtering has, however, several problems, such as storage limitation of data required for fast Fourier transforms, ringing artifacts appearing at high-intensity discontinuities, and edge effects between adjacent...
Authors
Jeng-Jong Pan, Chein-I Chang
Land cover mapping of the Upper Kuskokwim Resource Management Area, Alaska, using Landsat and a digital data base approach Land cover mapping of the Upper Kuskokwim Resource Management Area, Alaska, using Landsat and a digital data base approach
Digital land cover and terrain data for the Upper Kuskokwim Resource Management Area in south-central Alaska were produced by the U.S. Geological Survey for the U.S. Bureau of Land Management. These and other environmental data were incorporated into a digital data base to assist in the production of a land cover map and to facilitate in the management and planning of the area. The...
Authors
Carl Markon
Combining remote sensing techniques with simulation modelling for assessing rangeland resources Combining remote sensing techniques with simulation modelling for assessing rangeland resources
Simulation modelling and remote sensing techniques can be used to describe ecological processes. When used together, these tools can increase our understanding of the spatial variability of ecosystems. Remotely sensed data can be combined with simulation models for predicting the accumulation of plant biomass, as surrogate variables within the models, or as correlative information for...
Authors
J. D. Hanson, G.L. Anderson, R. H. Haas
A technique for the reduction of banding in Landsat Thematic Mapper Images A technique for the reduction of banding in Landsat Thematic Mapper Images
The radiometric difference between forward and reverse scans in Landsat thematic mapper (TM) images, referred to as "banding," can create problems when enhancing the image for interpretation or when performing quantitative studies. Recent research has led to the development of a method that reduces the banding in Landsat TM data sets. It involves passing a one-dimensional spatial kernel...
Authors
Dennis L. Helder, Bruce K. Quirk, Joy J. Hood
Data integration through region-based nominal filtering Data integration through region-based nominal filtering
Resource models integrating disparate nominal or class grid-cell data can be implemented by using spatial filters. Most modelling procedures do not adequately handle noise created during the process of merging and integrating multiple grid-cell data sets. Data integration can be best accomplished in an environment where ready access to statistical and database management systems support...
Authors
Eugene A. Fosnight
Land processes DAAC moves ahead Land processes DAAC moves ahead
No abstract available.
Authors
G. B. Bailey
Developing a raster profile for the spatial data transfer standard Developing a raster profile for the spatial data transfer standard
No abstract available.
Authors
David D. Greenlee
Application of digital elevation models to delineate drainage areas and compute hydrologic characteristics for sites in the James River basin, North Dakota Application of digital elevation models to delineate drainage areas and compute hydrologic characteristics for sites in the James River basin, North Dakota
No abstract available.
Authors
Gregg J. Wiche, S.K. Jenson, J. V. Baglio, Julia O. Domingue