{"title":"利用NovaSAR-1 s波段数据表征芒果园生物物理参数","authors":"Steena Stephen, D. Haldar","doi":"10.23919/URSI-RCRS56822.2022.10118537","DOIUrl":null,"url":null,"abstract":"This study evaluates the ability of S-band SAR data to characterize the biophysical parameters of Mango orchards. The observations from the correlation matrix of NovaSAR-1 parameters and the biophysical parameters indicate that height had the strongest correlation with VV (-0.40) in comparison to the other biophysical parameters. Based on the testing of models, MLR (Multiple Linear Regression) yielded the best RMSE (0.47m) and MAE (0.68m) in the estimation of height with the parameter's Co-pol index and HH backscatter. In the case of DBH, RFR (Random Forest Regression) gave the highest RMSE (0.23m) and MAE (0.05m) with HH and co-pol index. A comparison between the VV backscatter using S-band and C-band data (obtained from Sentinel-1) was also carried out for the mango orchard with S-band data having a higher dynamic range than C-band data.","PeriodicalId":229743,"journal":{"name":"2022 URSI Regional Conference on Radio Science (USRI-RCRS)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Characterization of Mango Orchard Biophysical Parameters using NovaSAR-1 S-Band data\",\"authors\":\"Steena Stephen, D. Haldar\",\"doi\":\"10.23919/URSI-RCRS56822.2022.10118537\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This study evaluates the ability of S-band SAR data to characterize the biophysical parameters of Mango orchards. The observations from the correlation matrix of NovaSAR-1 parameters and the biophysical parameters indicate that height had the strongest correlation with VV (-0.40) in comparison to the other biophysical parameters. Based on the testing of models, MLR (Multiple Linear Regression) yielded the best RMSE (0.47m) and MAE (0.68m) in the estimation of height with the parameter's Co-pol index and HH backscatter. In the case of DBH, RFR (Random Forest Regression) gave the highest RMSE (0.23m) and MAE (0.05m) with HH and co-pol index. A comparison between the VV backscatter using S-band and C-band data (obtained from Sentinel-1) was also carried out for the mango orchard with S-band data having a higher dynamic range than C-band data.\",\"PeriodicalId\":229743,\"journal\":{\"name\":\"2022 URSI Regional Conference on Radio Science (USRI-RCRS)\",\"volume\":\"55 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 URSI Regional Conference on Radio Science (USRI-RCRS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.23919/URSI-RCRS56822.2022.10118537\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 URSI Regional Conference on Radio Science (USRI-RCRS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/URSI-RCRS56822.2022.10118537","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
本研究评估了s波段SAR数据表征芒果果园生物物理参数的能力。从NovaSAR-1参数与生物物理参数的相关矩阵观察发现,与其他生物物理参数相比,高度与VV的相关性最强(-0.40)。通过对模型的检验,利用参数Co-pol指数和HH反向散射估计高度时,MLR (Multiple Linear Regression)的RMSE (0.47m)和MAE (0.68m)最好。对于胸径,RFR(随机森林回归)在HH和co-pol指数下的RMSE (0.23m)和MAE (0.05m)最高。利用s波段数据和c波段数据(Sentinel-1)对芒果果园的VV后向散射进行了比较,s波段数据比c波段数据具有更高的动态范围。
Characterization of Mango Orchard Biophysical Parameters using NovaSAR-1 S-Band data
This study evaluates the ability of S-band SAR data to characterize the biophysical parameters of Mango orchards. The observations from the correlation matrix of NovaSAR-1 parameters and the biophysical parameters indicate that height had the strongest correlation with VV (-0.40) in comparison to the other biophysical parameters. Based on the testing of models, MLR (Multiple Linear Regression) yielded the best RMSE (0.47m) and MAE (0.68m) in the estimation of height with the parameter's Co-pol index and HH backscatter. In the case of DBH, RFR (Random Forest Regression) gave the highest RMSE (0.23m) and MAE (0.05m) with HH and co-pol index. A comparison between the VV backscatter using S-band and C-band data (obtained from Sentinel-1) was also carried out for the mango orchard with S-band data having a higher dynamic range than C-band data.