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Lineaments derived from analysis of linear features mapped from Landsat images of the Four Corners region of the Southwestern United States
Daniel H. Knepper
1982, Open-File Report 82-849
Linear features are relatively short, distinct, non-cultural linear elements mappable on Landsat multispectral scanner images (MSS). Most linear features are related to local topographic features, such as cliffs, slope breaks, narrow ridges, and stream valley segments that are interpreted as reflecting directed aspects of local geologic structure including faults, zones...
The environment of south-central Tunisia as observed on Landsat scene 206/036
M. J. Grolier, P.A. Schultejann
1982, Open-File Report 82-130
One Landsat image in south-central Tunisia was analyzed to demonstrate the application of remote-sensing technology to regional development. A preliminary analysis included I) major landscape features; 2) gypsum-encrusted soils; and 3) phosphate-bearing beds exposed in the Gafsa mining district. The products specifically used for this report include: 1) A false-color...
The economic feasibility of operational earth sensing from space
Alden P. Colvocoresses
1982, Open-File Report 82-250
Earth-sensing satellites designed to follow Landsat involve spatial resolution in the order of 10 to 30 m as compared to the 80 m of the Landsat Multispectral Scanner (MSS). At these higher resolutions such satellites will perform inspection functions of high importance to government agencies and which are beyond the...
Landsat monitoring of albedo changes in northwestern Arizona, 1977-1980
Charles Joseph Robinove
1982, Open-File Report 82-14
As part of a cooperative project between the U.S. Geological Survey and the Bureau of Land Management, changes in albedo (percentage of light reflected from the ground) were calculated and mapped from Landsat images for an area in northwestern Arizona for three periods: August 26, 1977, to September 3, 1979;...
Evaulation of remote sensing, geological and geophysical data for south-central New York and northern Pennsylvania
M. H. Podwysocki, H. A. Pohn, J. D. Phillips, M. D. Krohn, T. L. Purdy, I.S. Merin
1982, Open-File Report 82-319
A study was made of the relationship between lineaments observed on Landsat satellite images and the geologic framework of a portion of the Allegheny Plateau of south-central New York and northern Pennsylvania. The area is underlain by a relatively thick sequence of salt and other evaporites in the Silurian Salina...
Arizona Vegetation Resource Inventory (AVRI) accuracy assessment
John Szajgin, L. R. Pettinger, D.S. Linden, D.O. Ohlen
1982, Open-File Report 82-814
A quantitative accuracy assessment was performed for the vegetation classification map produced as part of the Arizona Vegetation Resource Inventory (AVRI) project. This project was a cooperative effort between the Bureau of Land Management (BLM) and the Earth Resources Observation Systems (EROS) Data Center. The objective of the accuracy assessment...
The Alaska Mineral Resource Assessment Program: Guide to information about the geology and mineral resources of the Ketchikan and Prince Rupert quadrangles, southeastern Alaska
Henry C. Berg
1982, Circular 855
The Ketchikan and Prince Rupert 1-degree by 2-degree quadrangles, which encompass about 16,000 km2 at the south tip of southeastern Alaska, have been investigated by integrated field and laboratory studies in the disciplines of geology, geochemistry, geophysics, and Landsat data interpretation to determine their mineral-resource potential. Mineral deposits in the...
Evaluation of AMOEBA: a spectral-spatial classification method
Susan K. Jenson, Thomas R. Loveland, J. Bryant
1982, Journal of Applied Photographic Engineering (8) 159-162
Muitispectral remotely sensed images have been treated as arbitrary multivariate spectral data for purposes of clustering and classifying. However, the spatial properties of image data can also be exploited. AMOEBA is a clustering and classification method that is based on a spatially derived model for image data. In an evaluation...
Refining Landsat classification results using digital terrain data
Wayne A. Miller, Mark Shasby
1982, Journal of Applied Photographic Engineering (8) 35-40
 Scientists at the U.S. Geological Survey's Earth Resources Observation systems (EROS) Data Center have recently completed two land-cover mapping projects in which digital terrain data were used to refine Landsat classification results. Digital ter rain data were incorporated into the Landsat classification process using two different procedures that required developing...
Oahu: perspective from space
Gary E. Johnson
1982, Journal of Geography (81) 30-32
Satellite remote sensing provides us with a unique perspective from space. This perspective is synoptic in nature and provides regional views of most of the land areas of the earth. The orbital characteristics of the Landsat system are such that repetitive imagery of the same area may be obtained. Because...
Implications of the Precambrian lineaments on the Red Sea tectonics based on Landsat study of northeast Sudan
F. Ahmed
1982, Global Tectonics and Metallogeny (1) 326-335
Lineament analysis of a Landsat Imagery mosaic (scale 1:1,000,000) of northeast Sugdan indicate significant curvilinear as well as rectilinear fracture patterns of possible Precambrian age.  Rectilinear features trend dominantly in N-S (± 10°), NNW and ENE, and less commonly in NW and EW directions.  The Precambrian fractures closely match, and...