Microwave Vegetation Indices and the Application for Vegetation Optical Depth Retrieval Using WindSat Data

被引：0

作者：

Li, Yunqing ^{[1
,2
]}

Shi, Jiancheng ^{[1
]}

机构：

[1] Chinese Acad Sci, Inst Remote Sensing & Digital Earth, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China

[2] Univ Chinese Acad Sci, Beijing 100049, Peoples R China

来源：

2014 XXXITH URSI GENERAL ASSEMBLY AND SCIENTIFIC SYMPOSIUM (URSI GASS) | 2014年

关键词：

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

The vegetation optical depth, which describes vegetation attenuation properties, is a key factor for estimating soil moisture and some vegetation parameters such as vegetation water content and biomass. Vegetation indices are effective tools for retrieving vegetation optical depth. In this study, we have used a new type of microwave vegetation indices(MVIs) based on WindSat data and deduced the theoretical relationship between MVIs and effective vegetation optical depth. The optical depth had a coherent global pattern with NDVI.

引用

页数：4

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