Identifying Desert Regions For Improved Intercalibration Of Satellite Microwave Radiometers
Keywords
Calibration; desert regions; emission; masks; microwave radiometry
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.
Publication Date
6-1-2018
Publication Title
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Volume
11
Issue
6
Number of Pages
1895-1904
Document Type
Article
Personal Identifier
scopus
DOI Link
https://doi.org/10.1109/JSTARS.2018.2796184
Copyright Status
Unknown
Socpus ID
85041380908 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/85041380908
STARS Citation
Datta, Saswati; Jones, W. Linwood; and Chen, Ruiyao, "Identifying Desert Regions For Improved Intercalibration Of Satellite Microwave Radiometers" (2018). Scopus Export 2015-2019. 9070.
https://stars.library.ucf.edu/scopus2015/9070