Optical Sensing of Vegetation Water Content: A Synthesis Study
Ying Gao, Jeffrey P Walker, Mahdi Allahmoradi, Alessandra Monerris, Dongryeol Ryu, Thomas J Jackson
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC | Published : 2015
Vegetation water content (VWC) plays an important role in parameterizing the vegetation influence on microwave soil moisture retrieval. During the past decade, relationships have been developed between VWC and vegetation indices from satellite optical sensors, in order to create large-scale VWC maps based on these relationships. Among existing vegetation indices, the normalized difference vegetation index (NDVI) and the normalized difference water index (NDWI) have been most frequently used for estimating VWC. This work compiles and inter-compares a number of equations developed for VWC derivation from NDVI and NDWI using satellite data and ground samples collected from field campaigns carri..View full abstract
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Awarded by Australian Research Council
The authors would also like to acknowledge research funding from the Australian Research Council (DP0556941, DP0557543, DP0879212, and DP0984586) which supported NAFE'05 and 06, AACES1-2, and SMAPEx1-3 field experiments. Special thanks are also given to the Faculty of Engineering, Monash University for providing a postgraduate scholarship for Y. Gao.