Journal article

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

Abstract

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

University of Melbourne Researchers