Estimating Wheat Equivalent Water Thickness Using Landsat TM/ETM+ Data


Atmospheric corrected Landsat Enhanced Thematic Mapper Plus (ETM+) near-infrared (NIR) and shortwave infrared (SWIR) band reflectances are used to develop a new index to monitor vegetation water content (VWC) in terms of equivalent water thickness (EWT, cm). This paper outlines the first part of a research program to investigate the potential and physical basis of wavelengths in the optical domain to assess the VWC. Then, a method called vegetation water content index (VWCI) were developed using SWIR, and NIR wavelengths of ETM+ data. The relationship between the EWT at canopy level is explored through linking leaf reflectance data obtained from PROSPECT with canopy reflectance from SailH and in-situ measurements. Significant correlations are found between canopy EWT and the developed index for both modeled and ground measured data.

DOI: 10.1109/IGARSS.2008.4779111

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@inproceedings{Ghulam2008EstimatingWE, title={Estimating Wheat Equivalent Water Thickness Using Landsat TM/ETM+ Data}, author={Abduwasit Ghulam and Tim Kusky and Qiming Qin and Zhao-Liang Li and Alimujiang Kasimu}, booktitle={IGARSS}, year={2008} }