{"title":"The Effect of Varying Moisture Content in the Retrieval of the Imaginary Part of Dielectric Constant from C-Band Frequency SAR","authors":"Shoba Periasamy, K. Ravi","doi":"10.1109/InGARSS48198.2020.9358917","DOIUrl":null,"url":null,"abstract":"The imaginary part of dielectric constant (ε\") was retrieved from SAR of C-band (5.36 GHz) frequency for three different moisture conditions, 25%, 50%, and 70%, using a semi-empirical model. The study has found that with 25% moisture content, the accuracy level of ε\" has been considerably diluted (R2=0.702, RMSE=2.475, Bias=-2.244). The influence of roughness was observed to be higher in this particular condition. With 50% moisture content, the retrieval of ε\" was significantly influenced by soil textural variations (R2=0.836, RMSE=1, Bias=-0.556) but not by surface periodicity. The simulation showed promising results (R2=0.885, RMSE=0.769, Bias=0.129) in saturated condition irrespective of the soil’s textural and roughness characteristics. The study has demonstrated that the C-band SAR is more significant in explaining ε\" in a saturated state.","PeriodicalId":6797,"journal":{"name":"2020 IEEE India Geoscience and Remote Sensing Symposium (InGARSS)","volume":"47 1","pages":"114-117"},"PeriodicalIF":0.0000,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE India Geoscience and Remote Sensing Symposium (InGARSS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/InGARSS48198.2020.9358917","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The imaginary part of dielectric constant (ε") was retrieved from SAR of C-band (5.36 GHz) frequency for three different moisture conditions, 25%, 50%, and 70%, using a semi-empirical model. The study has found that with 25% moisture content, the accuracy level of ε" has been considerably diluted (R2=0.702, RMSE=2.475, Bias=-2.244). The influence of roughness was observed to be higher in this particular condition. With 50% moisture content, the retrieval of ε" was significantly influenced by soil textural variations (R2=0.836, RMSE=1, Bias=-0.556) but not by surface periodicity. The simulation showed promising results (R2=0.885, RMSE=0.769, Bias=0.129) in saturated condition irrespective of the soil’s textural and roughness characteristics. The study has demonstrated that the C-band SAR is more significant in explaining ε" in a saturated state.