Improved Cloud Detection Utilizing Defense Meteorological Satellite Program Near Infrared Measurements
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Improved Cloud Detection Utilizing Defense Meteorological Satellite Program Near Infrared Measurements
Six different automated classifiers, three of which were suggested by previous studies, were tested on a special data base of DMSP SSC (near IR channel, 1.51 to 1.63 micrometers) and OLS (visible channel, 0.4 to 1.0 micrometers, and IR channel, 10.2 to 12.8 micrometers). The classifiers were used to distinguish water clouds, ice clouds, snow cover, and other cloud-free surfaces. A test sample of 433 known cases was found with the aid of the AFGL Man-Computer Interactive Data Access System. (Author).
Remote Sensing of Snow and Its Applications
The reprint book of the “Remote Sensing of Snow and Its Applications” Special Issue provides recent studies on all aspects of remote sensing of snow, from retrieving the data to the application. These studies mainly address the following: (a) New opportunities (Copernicus Sentinels) and emerging remote sensing methods, (b) use of snow data in modeling, and (c) characterization of snowpack.