Evaluation of Radarsat-2 quad-pol SAR time-series images for monitoring groundwater irrigation

作     者：Amit Kumar Sharma Laurence Hubert-Moy Buvaneshwari Sriramulu M.Sekhar Laurent Ruiz S.Bandyopadhyay Shiv Mohan Samuel Corgne 

作者机构：Univ RennesUMR LETG CNRSRennesFrance Indo-French Cell for Water ScienceIndian Institute of ScienceBangaloreIndia Department of Civil EngineeringIndian Institute of ScienceBangaloreIndia UMR 1069 SASINRAAgro-campus OuestRennesFrance Géosciences Environnement ToulouseUniversitéde ToulouseCNRSIRDToulouseFrance EOSIndian Space Research OrganizationBangaloreIndia PLANEXPhysical Research LaboratoryAhmedabadIndia 

出 版 物：《International Journal of Digital Earth》 (国际数字地球学报（英文）)

年 卷 期：2019年第12卷第10期

页      面：1177-1197页

核心收录：

学科分类：081803[工学-地质工程] 08[工学] 0708[理学-地球物理学] 0818[工学-地质资源与地质工程] 0835[工学-软件工程] 0704[理学-天文学] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：Indo-French collaboration research projects such as IFCPAR/CEFIPRA AICHA(2013-2016),ANR ATCHA(2017-2020) VIGISAT programme,IISc-STC ISRO-098(2010-2013) UBL Ph.D.student grant for mobility(2017) CNES/TOSCA(Irriga-Detection project(2017-2019) 

主　　题：Radarsat-2 Synthetic Aperture Radar Polarimetric Indices Irrigated Cropland Support Vector Machine Classifier Kabini Critical Zone Observatory 

摘      要：Groundwater assists farmers to irrigate crops for fulfilling the crop-water *** agriculture system is characterized by three cropping seasons known as Kharif(monsoon),Rabi(post-monsoon)and summer(pre-monsoon).In tropical countries like India,monitoring cropping practices using optical remote sensing during Kharif and Rabi seasons is constraint due to the cloud cover,which can be well addressed by microwave remote *** the proposed research,the strength of C-band polarimetric Synthetic Aperture Radar(SAR)time series images were evaluated to classify groundwater irrigated croplands for the Kharif and Rabi cropping seasons of the year *** present study was performed in the Berambadi experimental watershed of Kabini river basin,southern peninsular India.A total of fifteen polarimetric variables were estimated includes four backscattering coefficients(HH,HV,VH,VV)and eleven polarimetric indices for all Radarsat-2 SAR *** cumulative temporal sum(seasonal and dual-season)of these parameters was supervised classified using Support Vector Machine(SVM)classifier with intensive ground observation *** results using the best equation(highest accuracy and kappa)shows that the Kharif,Rabi and irrigated double croplands are respectively 9.58 km2(20.6%),16.14 km2(34.7%)and 6.22 km2(13.4%)with a kappa coefficient respectively 0.84,0.74 and 0.94.