首页    期刊浏览 2024年11月28日 星期四
登录注册

文章基本信息

  • 标题:Parameterizing the modified water cloud model to improve soil moisture data retrieval using vegetation models
  • 本地全文:下载
  • 作者:Kishan Singh RAWAT ; Sudhir Kumar SINGH ; Ram L. Ray
  • 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
国家哲学社会科学文献中心版权所有