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  • 1
    Publication Date: 2014-09-17
    Description: The TM digital data were evaluated for their potential to provide improved land cover information. The analyses included: (1) testing for information that may be offered by the new TM spectral bands, and (2) comparing data characteristics for equivalent spectral bands of the TM and MSS sensors. The analyses were conducted on several large samples of pixels corresponding to five broad land cover classes. Some TM spectral data are presented and evaluated as single-band, black-and-white images, and in several three-band color-composite images. Some data transformations which can be used to present TM data in a manner that is potentially more useful for analysis or display are demonstrated. These transformations enable generating hue, intensity, and saturation data space from red, green, and blue color space, as well as perspective view images.
    Keywords: EARTH RESOURCES AND REMOTE SENSING
    Type: NASA. Goddard Space Flight Center LANDSAT-4 Sci. Characterization Early Results, Vol. 4; p 281-298
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  • 2
    Publication Date: 2014-09-13
    Description: The U.S. Geological Survey EROS Data Center evaluated the utility of LANDSAT multispectral scanner (MSS) and Thematic Mapper (TM) data for natural resource assessment and land cover information, emphasizing manual interpretation and digital classification of the data for U.S. Department of the Interior applications. In most cases, substantially more information was derived from TM data than from MSS data. The test areas included Washington, D.C. and prairie regions of South Dakota and Kansas.
    Keywords: INSTRUMENTATION AND PHOTOGRAPHY
    Type: NASA. Goddard Space Flight Center LANDSAT-4 Sci. Invest. Summ., Including Dec. 1983 Workshop Results, Vol. 2; p 129-132
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  • 3
    Publication Date: 2019-06-27
    Description: Inappropriate spatial resolution and corresponding data processing techniques may be major causes for non-optimal forest classification results frequently achieved from multispectral scanner (MSS) data. Procedures and results of empirical investigations are studied to determine the influence of MSS spatial resolution on the classification of forest features into levels of detail or hierarchies of information that might be appropriate for nationwide forest surveys and detailed in-place inventories. Two somewhat different, but related studies are presented. The first consisted of establishing classification accuracies for several hierarchies of features as spatial resolution was progressively coarsened from (2 meters) squared to (64 meters) squared. The second investigated the capabilities for specialized processing techniques to improve upon the results of conventional processing procedures for both coarse and fine resolution data.
    Keywords: EARTH RESOURCES AND REMOTE SENSING
    Type: Proc. of the 11th Intern. Symp. on Remote Sensing of Environment, Vol. 2; p 1279-1288
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  • 4
    Publication Date: 2019-06-27
    Description: The author has identified the following significant results. ERTS-1 imagery can be applied in the broadscale assessment of forest resources as a supplement to aerial photography and field survey. There was no application to inventory of crop and pasture diseases mainly because of poor quality and low resolution, and unreliability of image acquisition. Inventory of soil erosion was satisfactory in humid eastern New South Wales, but not in semi-arid areas. Patterns of snow cover, areas of water in natural and artificial water bodies, extent of bushfires, and location of coastal mobile sand bodies were readily apparent. ERTS-1 imagery was judged to be a valuable addition to conventional techniques of regional small scale geological mapping. ERTS data was successfully used to map flooding and flood progression. The imagery was found suitable for mapping at 1:1,000,000 scale both on the mainland and in Antarctica, but did not meet accuracy specifications for 1:250,000 mapping.
    Keywords: EARTH RESOURCES AND REMOTE SENSING
    Type: E75-10353 , NASA-CR-143155 , ERIM-193300-62-F
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  • 5
    Publication Date: 2019-07-13
    Description: There are no author-identified significant results in this report.
    Keywords: GEOPHYSICS
    Type: E72-10222 , NASA-CR-128489 , Intern. Symp. on Remote Sensing of Environment; Oct 06, 1972; Ann Arbor, MI; United States
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  • 6
    Publication Date: 2019-07-13
    Keywords: EARTH RESOURCES AND REMOTE SENSING
    Type: International Symposium on Remote Sensing of Environment; Apr 25, 1977 - Apr 29, 1977; Ann Arbor, MI
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  • 7
    Publication Date: 2019-07-13
    Description: The author has identified the following significant results. S192 data collected on 5 August 1973 were processed by computer to produce a classification map of a part of the Gratiot-Saginaw State Game Area in south central Michigan. A 10-category map was prepared of an area consisting of diverse terrain types, including forests, wetlands, brush, and herbaceous vegetation. An accuracy check indicated that 54% of the pixels were correctly recognized. When these ten scene classes were consolidated to a 5-category map, the accuracy increased to 72%. S190 A, S190 B, and S192 data can be used for regional surveys of existing and potential recreation sites, for delineation of open space, and for preliminary evaluation of geographically extensive sites.
    Keywords: EARTH RESOURCES AND REMOTE SENSING
    Type: E76-10152 , NASA-CR-144471 , ERIM-103300-58-F
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  • 8
    Publication Date: 2019-07-13
    Description: The author has identified the following significant results. Effects of vegetation density on overall canopy reflectance differed dramatically, depending on spectral band, base material, and vegetation type. For example, reflectance changes caused by variations in vegetation density were hardly apparant for a simulated burned surface in LANDSAT band 5, while large changes occurred in band 7. When increasing densities of tree overstory were placed over understories, intermediate to dense overstories effectively masked the understories and dominated the spectral signatures. Dramatic changes in reflectance occurred for canopies placed on a number of varying topographic positions. Such changes were seen to result in the spectral overlap of some nonforested with densely forested situations.
    Keywords: EARTH RESOURCES AND REMOTE SENSING
    Type: E78-10046 , NASA-CR-151561 , ERIM-122700-35-F1-VOL-1
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  • 9
    Publication Date: 2019-07-13
    Description: The Suits bidirectional reflectance model (1972) for vegetation canopies was used to calculate reflectance values for the four Landsat spectral bands under a variety of canopy and observation conditions. Relationships between characteristics of developing wheat fields and associated reflectances were studied. Coincident measurements of crop reflectance and Landsat signals were compared using regression analysis techniques. The model was also applied to forest situations both to help establish the extent to which Landsat may provide direct information about conditions occurring beneath forest overstories and to help develop methods for reducing the effects of terrain slope and aspect in the processing of Landsat data. Finally, a relationship based on model calculations was used to adjust Landsat signal values and was found to reduce topography-related variability and improve subsequent classification performance.
    Keywords: EARTH RESOURCES AND REMOTE SENSING
    Type: In: International Symposium on Remote Sensing of Environment; Apr 20, 1978 - Apr 26, 1978; Manila; Philippines
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