Retrieval of Vegetation Canopy Water Content Based on Spectral Index Method

Based on the physical models of PROSPECT and SAIL, hyperspectral data of different scenes were simulated. According to the simulated data, we built 7 spectral indexes highly linear correlated to vegetation canopy water content, and analyzed the relationship between spectral indexes and canopy water content. Then we built a multiple linear model of canopy water content with the spectral indexes that are highly correlated with FMC (Fuel Moisture Content). At last, using the model, the vegetation canopy water content from Hyperion was obtained. It shows that the spectral indexes: II, NDWI, Ratio(1200), Ratio(975), WI1, are highly correlated with canopy water content, and the multiple linear model built with them produces an effective result.