Comparative Analysis of Two Vegetation Indices for Backscatter Simulation and Soil Moisture Retrieval

Le résumé fourni par la source

Vegetation scattering is one of the key factors affecting the accuracy of soil moisture retrieval using active microwave remote sensing. Currently,the parameters used to represent vegetation scattering in forward model are primarily classified into optical vegetation indices (OVIs) and radar vegetation indices (RVIs). However, the comparative effectiveness of these two types of indices for backscatter simulation and soil moisture retrieval has not been thoroughly investigated. In this study, we analyze the impact of OVI and RVI on backscattering simulation and soil moisture retrieval using Mironov dielectric constant model, Oh surface roughness model and the water cloud model. The analysis is based on Sentinel-1 C-band data and in-situ soil moisture measurements from the Zamarron site in Spanish. The results indicate that the root mean square error (RMSE) of the backscatter simulation is 1.61dB for OVI and 1.25 dB for RVI. In terms of soil moisture retrieval accuracy, the RMSE is 0.049m3/m3for OVI and 0.047 m3/m3for RVI.

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