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›› 2015, Vol. 32 ›› Issue (1): 63-69.DOI: 10.7523/j.issn.2095-6134.2015.01.011

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Estimation model of the atmospheric parameters in the research of quantitative microwave remote sensing

ZHOU Fangcheng1, SONG Xiaoning1, LI Zhaoliang2, MA Jianwei3   

  1. 1. College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China;
    2. Institute of Agricultural Resources and Regional Planning, CAAS, Beijing 100081, China;
    3. China Institute of Water Resources and Hydropower Research, Beijing 100044, China
  • Received:2014-02-25 Revised:2014-03-14 Online:2015-01-15

Abstract:

Usually, atmospheric effects on microwave remote sensing are ignored because of the penetration of microwave. However, for quantitative inversion in which high precision inversion is required, atmospheric effects should be taken into account. Based on the radiative transfer model, three atmospheric parameters, upwelling and downwelling atmospheric brightness temperature and atmospheric transmissivity, were proved to be much influenced by precipitable water vapor. The MonoRTM and 946 global atmospheric profiles were used to simulate these atmospheric parameters. Then we got regression models for PWV(precipitable water vapor) and atmospheric brightness temperatures and for PWV and atmospheric transmissivity, respectively. Finally, Zhangye radiosonde data sets were used to validate the models, and verification results showed that the estimation models had high credibility.

Key words: microwave remote sensing, atmospheric brightness temperature, atmospheric transmissivity, precipitable water vapor

CLC Number: