Some issues on calibration/validation algorithms of SSM/I data

Author

Jin, Ya-Qiu

Author_Institution

Dept. of Electron. Eng., Wave Scattering & Remote Sensing Center, Shanghai, China

Volume

1

fYear

1997

fDate

3-8 Aug 1997

Firstpage

567

Abstract

Identification of atmospheric precipitation and Earth surfaces and algorithms of the parameter retrieval have been extensively studied during the course of SSM/I calibration/validation effort. However, the author has found that some conventional algorithms are not proper in many applications. The author has developed the vector radiative transfer modeling at SSM/I channels for Earth surfaces such as snow/vegetation, rough sea surface, scattering media of sea ice, etc., and derived several new algorithms to invert some parameters from SSM/I data. The retrieval results are well compared with the ground truth measurements

Keywords

atmospheric precipitation; atmospheric techniques; calibration; geophysical signal processing; geophysical techniques; microwave measurement; millimetre wave measurement; oceanographic techniques; radiometry; rain; remote sensing; EHF; SHF; SSM/I; atmosphere; calibration; land surface; measurement technique; meteorology; microwave radiometry; mm wave; ocean; precipitation; rain; rainfall; satellite remote sensing; sea ice; sea surface; signal processing; terrain mapping; validation algorithm; vector radiative transfer model; vegetation; Atmospheric modeling; Calibration; Earth; Ice surface; Rough surfaces; Scattering parameters; Sea surface; Snow; Surface roughness; Vegetation;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing, 1997. IGARSS '97. Remote Sensing - A Scientific Vision for Sustainable Development., 1997 IEEE International

Print_ISBN

0-7803-3836-7

Type

conf

DOI

10.1109/IGARSS.1997.615944

Filename

615944