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  • 1975-1979  (5)
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  • 1
    Publication Date: 2019-06-27
    Description: A method of measuring temperatures of selected ground-cover types using remotely sensed multispectral scanner data and a layered classification approach is described. A brief review of radiation theory is presented to show that for the wavelength bands and temperature ranges involved in remote sensing applications, a linear calibration function can be satisfactorily utilized. An example of the application of the layered classifier for temperature mapping of water is shown.
    Keywords: EARTH RESOURCES AND REMOTE SENSING
    Type: IEEE Transactions on Geoscience Electronics; GE-14; Apr. 197
    Format: text
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  • 2
    Publication Date: 2019-06-27
    Description: The spectral response (air-water interface reflectance and water-volume scattering) of turbid river water (99 mg/liter suspended solids) and relatively clear lake water (10 mg/liter suspended solids) was measured in situ with a field spectroradiometer. The influence of the river bottom on the spectral response of the water also was determined by using a modified Secchi disc approach. The results indicated that turbid river water had a higher spectral response than clear lake water (about 6 percent) in the red (0.6-0.7 micron) and near-infrared (0.7-0.9 micron) portions of the spectrum. Also, the reflectance characteristics of the river bottom did not influence the spectral response of the turbid river water when the water was deeper than 30 cm
    Keywords: EARTH RESOURCES AND REMOTE SENSING
    Type: Photogrammetric Engineering and Remote Sensing; 43; May 1977
    Format: text
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  • 3
    Publication Date: 2019-06-27
    Description: Skylab and LANDSAT MSS data were analyzed using computer-aided analysis techniques (CAAT). Results indicated that the middle infrared wavelength bands of the Skylab S-192 scanner would allow effective discrimination between snowcover and water-droplet clouds, whereas the limited spectral response of the LANDSAT-1 or 2 scanners do not allow such spectral discrimination. Five spectral classes of snowcover were defined and mapped. These classes were found to be related to differences in the proportion of snow and forest cover in the individual resolution elements.
    Keywords: EARTH RESOURCES AND REMOTE SENSING
    Type: PAPER-21 , NASA. Goddard Space Flight Center Operational Appl. of Satellite Snowcover Observations; p 295-311
    Format: application/pdf
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  • 4
    Publication Date: 2019-06-27
    Description: LANDSAT frames were geometrically corrected and data sets from six different dates were overlaid to produce a 24 channel (six dates and four wavelength bands) data tape. Changes in the extent of the snowpack could be accurately and easily determined using a change detection technique on data which had previously been classified by the LARSYS software system. A second phase of the analysis involved determination of the relationship between spatial resolution or data sampling frequency and accuracy of measuring the area of the snowpack.
    Keywords: EARTH RESOURCES AND REMOTE SENSING
    Type: PAPER-20 , NASA. Goddard Space Flight Center Operational Appl. of Satellite Snowcover Observations; p 279-294
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  • 5
    Publication Date: 2019-07-13
    Description: There are no author-identified significant results in this report.
    Keywords: EARTH RESOURCES AND REMOTE SENSING
    Type: E80-10041 , NASA-CR-160379 , LARS-TR-011579
    Format: application/pdf
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