Parameterizing the modified water cloud model to improve soil moisture data retrieval using vegetation models
Document Type
Article
Publication Title
Hungarian Geographical Bulletin
Abstract
The objective was to parameterize a modified water cloud model using crop coefficients (A and B). These crop coefficients were derived from Landsat-8 and Sentinel-2 data. Whereas coefficients C and D are of soil parameters. The water cloud model was modified using crop coefficients by minimizing the RMSE between observed VVσ0 and Sentinel-1 based simulated VVσ0. The comparison with observed and simulated VV polarized σ0 showed low RMSE (0.81 dB) and strong R2 of 0.98 for NDVI-EVI combination. However, based on other possible combinations of vegetation indices VVσ0 and simulated VVσ0 do not show a good statistical agreement. It was observed that the errors in crop coefficients (A and B) are sensitive to errors in initial vegetation/canopy descriptor parameters.
First Page
17
Last Page
26
DOI
10.15201/hungeobull.69.1.2
Publication Date
1-1-2020
Recommended Citation
Rawat, K., Singh, S., Ray, R., Szabó, S., & Kumar, S. (2020). Parameterizing the modified water cloud model to improve soil moisture data retrieval using vegetation models. Hungarian Geographical Bulletin, 69 (1), 17-26. https://doi.org/10.15201/hungeobull.69.1.2
