Abstract | ||
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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 carried out in the United States, Australia, and China. Four vegetation types are considered: corn, cereal grains, legumes, and grassland. While existing equations are reassessed against the entire compiled data sets, new equations are also developed based on the entire data sets. Comparing with existing equations, results show superiorities for the new equations based on statistical analysis against the entire data set. and NDVI are found to be the preferred indices for VWC estimation based on the availability and the error statistics of the compiled data sets. It is recommended that the new equations can be applied in the future global remote sensing application for VWC map retrieval. |
Year | DOI | Venue |
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2015 | 10.1109/JSTARS.2015.2398034 | Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of |
Keywords | Field | DocType |
estimation,normalized difference vegetation index (ndvi),normalized difference water index (ndwi),vegetation water content (vwc),ndvi,remote sensing,normalized difference vegetation index,statistical analysis,mathematical model,moisture,indexes,china,crops,satellites | Vegetation,Satellite,Data set,Vegetation water content,Remote sensing,Remote sensing application,Normalized Difference Vegetation Index,Enhanced vegetation index,Water content,Mathematics | Journal |
Volume | Issue | ISSN |
PP | 99 | 1939-1404 |
Citations | PageRank | References |
4 | 0.76 | 3 |
Authors | ||
6 |
Name | Order | Citations | PageRank |
---|---|---|---|
Ying Gao | 1 | 39 | 4.73 |
Jeffrey P. Walker | 2 | 231 | 32.78 |
m allahmoradi | 3 | 4 | 0.76 |
Alessandra Monerris | 4 | 122 | 17.62 |
Dongryeol Ryu | 5 | 58 | 9.54 |
Thomas J. Jackson | 6 | 1368 | 247.01 |