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GNSS-R信号反演土壤水分研究分析 被引量:8

Research on Soil Moisture Inversion by GNSS-R Signal
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摘要 由于GNSS-R信号具有全天候、穿透性以及不受云的影响,且对土壤水分非常敏感等特性,使其在遥感研究全球变化中具有独特的优势。简要评述了利用GPS地面反射信号在土壤水分反演研究领域的进展,然后侧重分析介绍了GPS反射信号土壤水分反演原理,前向模型分析反演土壤水分的关键技术,并指出目前存在的问题和发展方向。 Microwave remote sensing is influenced slightly by cloud and atmosphere, what makes it more advantageous in study on global change. In the development of remote sensing technique, the microwave remote sensing has been proved as one of the best methods to retrieve soil moisture during last 30 years. However, many studies have shown that soil moisture is an impor- tant parameter in numerical weather-prediction model that lead to significant forecasting improvement in the physics of land sur- face processes on regional and global scales. But it is very difficult to obtain the soil moisture by ground measurement in both time and space, especially at large spatial scales. This paper introduces the retrieving soil moisture from GNSS-R. The AIEM model is mainly suitable for bare soil and MIMICS model is mainly suitable for land surface covered by vegetation. Finally, with the development of microwave remote sensing technique the prospect of GNNS-R for soil moisture retrieval is also discussed.
出处 《遥感信息》 CSCD 2009年第3期92-97,共6页 Remote Sensing Information
基金 国家863计划(编号:SQ2007AA12Z339565) 中央级公益性科研院所基本科研业务费专项的资助
关键词 土壤水分 GNSS-R AIEM模型 MIMICS模型 soil moisture GNSS-R alEM model MIMICS model
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参考文献36

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