文章基本信息

标题：Parameterizing the modified water cloud model to improve soil moisture data retrieval using vegetation models
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作者：Kishan Singh RAWAT ; Sudhir Kumar SINGH ; Ram L. Ray 等
期刊名称：Hungarian Geographical Bulletin
印刷版ISSN：2064-5031
电子版ISSN：2064-5147
出版年度：2020
卷号：69
期号：1
DOI：10.15201/hungeobull.69.1.2
语种：English
出版社：Research Centre for Astronomy and Earth Sciences, Hungarian Academy of Sciences
摘要：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.
关键词：NDVI;EVI;SAR;Sentinel;WCM