Vegetation water content estimation using bi-inverted Gaussian model

Abstract

This paper presented a new approach called bi-inverted Gaussian model to calculated the diagnostic characteristic parameters of vegetation spectral. And used the parameters calculated from Hyperion image to make water content mapping. Using laboratory experiment measuring data, the relationships between absorption depth and the vegetation water content (VWC) were calculated. between absorption depth and VWC was 0.868 and the RMSE was 0.798. The correlations between them were higher than other vegetation indices.