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Sensitivity Analysis of b-factor in Microwave Emission Model for Soil Moisture Retrieval: A Case Study for SMAP Mission

Dugwon Seo,T. Lakhankar,R. Khanbilvardi

Published 2010 in Remote Sensing

ABSTRACT

Sensitivity analysis is critically needed to better understand the microwave emission model for soil moisture retrieval using passive microwave remote sensing data. The vegetation b-factor along with vegetation water content and surface characteristics has significant impact in model prediction. This study evaluates the sensitivity of the b-factor, which is function of vegetation type. The analysis is carried out using Passive and Active L and S-band airborne sensor (PALS) and measured field soil moisture from Southern Great Plains experiment (SGP99). The results show that the relative sensitivity of the b-factor is 86% in wet soil condition and 88% in high vegetated condition compared to the sensitivity of the soil moisture. Apparently, the b-factor is found to be more sensitive than the vegetation water content, surface roughness and surface temperature; therefore, the effect of the b-factor is fairly large to the microwave emission in certain conditions. Understanding the dependence of the b-factor on the soil and vegetation is important in studying the soil moisture retrieval algorithm, which can lead to potential improvements in model development for the Soil Moisture Active-Passive (SMAP) mission.

PUBLICATION RECORD

  • Publication year

    2010

  • Venue

    Remote Sensing

  • Publication date

    2010-05-04

  • Fields of study

    Computer Science, Environmental Science

  • Identifiers
    DOI 10.3390/rs2051273
  • External record

    Open on Semantic Scholar

  • Source metadata

    Semantic Scholar

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