COMPARISON OF VEGETATION WATER CONTENT ESTIMATES FROM WINDSAT AND MODIS

被引：0

作者：

Hunt, E. Raymond, Jr. ^{[1
]}

Li, Li ^{[2
]}

Yilmaz, M. Tugrul ^{[3
]}

Jackson, Thomas J. ^{[1
]}

机构：

[1] ARS, Hydrol & Remote Sensing Lab, USDA, Beltsville, MD USA

[2] Naval Res Lab, Washington, DC USA

[3] George Mason Univ, Geog Geoinformat Sci, Fairfax, VA USA

来源：

2010 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM | 2010年

关键词：

Soil moisture; Iowa; canopy water content; INDEX; MOISTURE; IMAGERY;

D O I：

10.1109/IGARSS.2010.5651587

中图分类号：

P [天文学、地球科学];

学科分类号：

07 ;

摘要：

Retrieval of soil moisture content from microwave sensors also returns an estimate of vegetation water content. Remotely sensed indices from optical sensors can be used to estimate canopy water content. For corn and soybean in central Iowa, there are allometric relationships between canopy water content and vegetation water content. The Normalized Difference Infrared Index from MODIS was used to estimate vegetation water content. We compared independent estimates of vegetation water content from WindSat and MODIS over central Iowa from 2003 to 2005. There was a strong linear relationship between the MODIS and WindSat estimates, but the WindSat estimates were about two times higher. These results suggest that soil moisture retrievals from microwave sensors may be more accurate with estimates of vegetation water content from optical sensors.

引用

页码：3879 / 3881

页数：3

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