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    Snowcover mapping by machine processing of Skylab and LANDSAT MSS data (1975)
    In:  CASI
    Details
    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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    NASA TECHNICAL REPORTS
  • 2
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    Snow cover monitoring by machine processing of multitemporal LANDSAT MSS data (1975)
    In:  CASI
    Details
    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
    Format: application/pdf
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    NASA TECHNICAL REPORTS
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