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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...
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...
Digital classification of Landsat data for vegetation and land-cover mapping in the Blackfoot River watershed, southeastern Idaho
L. R. Pettinger
1982, Professional Paper 1219
This paper documents the procedures, results, and final products of a digital analysis of Landsat data used to produce a vegetation and landcover map of the Blackfoot River watershed in southeastern Idaho. Resource classes were identified at two levels of detail: generalized Level I classes (for example, forest land and...
New papers related to remote sensing of the earth
A. P. Colvocoresses, F.J. Doyle
1982, Open-File Report 82-237
Worldwide experience of many individuals and organizations with remote sensing data acquired from space, primarily Landsat-1, -2, and -3, has demonstrated its utility for land use classification, agricultural assessment, energy and resource exploration, and many other applications. There has been some reluctance to adopt these systems in operational programmes because...
Digital data base application to porphyry copper mineralization in Alaska; case study summary
Charles M. Trautwein, David D. Greenlee, Donald G. Orr
1982, Open-File Report 82-801
The purpose of this report is to summarize the progress in use of digital image analysis techniques in developing a conceptual model for assessing porphyry copper mineral potential. The study area consists of approximately the southern one-half of the 1? by 3? Nabesna quadrangle in east-central Alaska. The digital geologic...
Geochemical orientation for mineral exploration in the Hashemite Kingdom of Jordan
W.C. Overstreet, D. J. Grimes, J. F. Seitz
1982, Open-File Report 82-791
This report is a supplement to previous accounts of geochemical exploration conducted in the Hashemite Kingdom of Jordan by the Natural Resources Authority of the Royal Government of Jordan and the U.S. Geological Survey. The field work on which this report is based was sponsored by the U.S. Agency for...
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...
Characterization of tropospheric desert aerosols at solar wavelengths by multispectral radiometry from Landsat
Joseph Otterman, R. S. Fraser, O. P. Bahethi
1982, Journal of Geophysical Research C: Oceans (87) 1270-1278
Characteristics of tropospheric desert aerosols are derived by comparing nadir spectral reflectivities computed from the radiative transfer models with reflectivities measured from Landsat. Over the ocean, reflectivities are compared, but over land the comparison is carried out by determining the ratios of the nadir reflectivity of the surface-atmosphere system over...
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...