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Identifying Desert Regions for Improved Intercalibration of Satellite Microwave Radiometers.

Authors :
Datta, Saswati
Jones, W. Linwood
Chen, Ruiyao
Source :
IEEE Journal of Selected Topics in Applied Earth Observations & Remote Sensing; Jun2018, Vol. 11 Issue 6, p1895-1904, 10p
Publication Year :
2018

Abstract

This paper describes the technical approach to generate homogeneous warm brightness temperature scene binary mask over the earth for the intercalibration of microwave imagers. The objective is to identify homogeneous desert scenes as targets in radiometric intercalibration of multisource multisensor systems such as Global Precipitation Measurement (GPM) constellation. In this paper, a method is developed to generate mask over continental Australia using 10, 18, and 37 GHz vertical and horizontal polarized radiance observations from GPM Microwave Imager data. Major factors considered are diurnal variation, second Stokes parameter, spatial homogeneity, and surface emissivity. Major advantage of this tool is its minimal, almost negligible, dependence on any external ancillary modeled or observed data. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
19391404
Volume :
11
Issue :
6
Database :
Complementary Index
Journal :
IEEE Journal of Selected Topics in Applied Earth Observations & Remote Sensing
Publication Type :
Academic Journal
Accession number :
130518070
Full Text :
https://doi.org/10.1109/JSTARS.2018.2796184