Paper
30 April 2003 Parameterized surface reflectivity model for L-band radiometer
Jiancheng Shi, Kun Shan Chen, Q. Li, Leung Tsang
Author Affiliations +
Proceedings Volume 4894, Microwave Remote Sensing of the Atmosphere and Environment III; (2003) https://doi.org/10.1117/12.466143
Event: Third International Asia-Pacific Environmental Remote Sensing Remote Sensing of the Atmosphere, Ocean, Environment, and Space, 2002, Hangzhou, China
Abstract
Soil moisture is an important parameter for hydrological and climatic investigations. Future satellite missions with L-band passive microwave radiometers will significantly increase the capability of monitoring Earth's soil moisture globally. Understanding the effects of surface roughness on microwave emission and developing quantitative bare surface soil moisture retrieval algorithms is one of the essential components in many applications of geophysical properties in the complex earth terrain by microwave remote sensing. In this study, we explore the use of the Integral Equation Model (IEM) for modeling microwave emission. This model was validated using a three-dimensional Monte Carlo model. The results indicate that the IEM model can be used to simulate the surface emission quite well for a wide range of surface roughness conditions with high confidence. Several important characteristics of the effects of surface roughness on radiometer emission signals at L-band 1.4 GHz that have not been adequately addressed in the current semi-empirical surface effective reflectivity models are demonstrated by using IEM simulated data. Using an IEM simulated database for a wide range of surface soil moisture and roughness properties, we developed a parameterized surface effective reflectivity model with three typically used correlation functions.
© (2003) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jiancheng Shi, Kun Shan Chen, Q. Li, and Leung Tsang "Parameterized surface reflectivity model for L-band radiometer", Proc. SPIE 4894, Microwave Remote Sensing of the Atmosphere and Environment III, (30 April 2003); https://doi.org/10.1117/12.466143
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KEYWORDS
Surface roughness

Reflectivity

Dielectric polarization

Data modeling

Monte Carlo methods

Soil science

Polarization

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