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  • 1970-1974  (6)
  • 1974  (6)
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  • 1970-1974  (6)
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  • 1
    Publication Date: 2019-07-13
    Description: There are no author-identified significant results in this report.
    Keywords: GEOPHYSICS
    Type: E74-10508 , NASA-CR-138231 , REPT-74-1
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  • 2
    Publication Date: 2019-07-13
    Description: There are no author-identified significant results in this report.
    Keywords: GEOPHYSICS
    Type: E74-10255 , NASA-CR-136583
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  • 3
    Publication Date: 2019-07-13
    Description: The author has identified the following significant results. Extracting geologic information from ERTS and Skylab/EREP images is best done by a geologist trained in photointerpretation. The information is at a regional scale, and three basic types are available: rock and soil, geologic structures, and landforms. Discrimination between alluvium and sedimentary or crystalline bedrock, and between units in thick sedimentary sequences is best, primarily because of topographic expression and vegetation differences. Discrimination between crystalline rock types is poor. Folds and fractures are the best displayed geologic features. They are recognizable by topographic expression, drainage patterns, and rock or vegetation tonal patterns. Landforms are easily discriminated by their familar shapes and patterns. It is possible to optimize the scale, format, spectral bands, conditions of acquisition, and sensor systems for best geologic interpretation. Several examples demonstrate the applicability of satellite images to tectonic analysis and petroleum and mineral exploration.
    Keywords: GEOPHYSICS
    Type: E74-10507 , NASA-CR-138230 , REPT-74-3 , Ann. Remote Sensing of Earth Resources Conf.; Mar 26, 1974; Tullahoma, TN; United States
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  • 4
    Publication Date: 2019-07-13
    Description: There are no author-identified significant results in this report.
    Keywords: GEOPHYSICS
    Type: E74-10390 , NASA-CR-137208
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  • 5
    Publication Date: 2019-07-13
    Description: Extracting geologic information from ERTS and Skylab/EREP images is best done by a geologist trained in photo-interpretation. The information is at a regional scale, and three basic types are available: rock and soil, geologic structures, and landforms. Discrimination between alluvium and sedimentary or crystalline bedrock, and between units in thick sedimentary sequences is best, primarily because of topographic expression and vegetation differences. Discrimination between crystalline rock types is poor. Folds and fractures are the best displayed geologic features. They are recognizable by topographic expression, drainage patterns, and rock or vegetation tonal patterns. Landforms are easily discriminated by their familiar shapes and patterns. Several examples demonstrate the applicability of satellite images to tectonic analysis and petroleum and mineral exploration.
    Keywords: EARTH RESOURCES AND REMOTE SENSING
    Type: Remote sensing of earth resources. Volume 3 - Third Conference on Earth Resources Observation and Information Analysis System; Mar 25, 1974 - Mar 27, 1974; Tullahoma, TN
    Format: text
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  • 6
    Publication Date: 2019-07-13
    Description: The author has identified the following significant results. Most of the geologic information in ERTS-1 imagery can be extracted from bulk processed black and white transparencies by a skilled interpreter using standard photogeologic techniques. In central and western Colorado, the detectability of lithologic contacts on ERTS-1 imagery is closely related to the time of year the imagery was acquired. Geologic structures are the most readily extractable type of geologic information contained in ERTS images. Major tectonic features and associated minor structures can be rapidly mapped, allowing the geologic setting of a large region to be quickly accessed. Trends of geologic structures in younger sedimentary appear to strongly parallel linear trends in older metamorphic and igneous basement terrain. Linears and color anomalies mapped from ERTS imagery are closely related to loci of known mineralization in the Colorado mineral belt.
    Keywords: EARTH RESOURCES AND REMOTE SENSING
    Type: E76-10029 , NASA-CR-145421 , REPT-75-1
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