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 

机构地区：[1]Univ Rennes,UMR LETG CNRS,Rennes,France [2]Indo-French Cell for Water Science,Indian Institute of Science,Bangalore,India [3]Department of Civil Engineering,Indian Institute of Science,Bangalore,India [4]UMR 1069 SAS,INRA,Agro-campus Ouest,Rennes,France [5]Géosciences Environnement Toulouse,Universitéde Toulouse,CNRS,IRD,Toulouse,France [6]EOS,Indian Space Research Organization,Bangalore,India [7]PLANEX,Physical Research Laboratory,Ahmedabad,India

出　　处：《International Journal of Digital Earth》2019年第10期1177-1197,共21页国际数字地球学报（英文）

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).

摘　　要：Groundwater assists farmers to irrigate crops for fulfilling the crop-water requirement.Indian 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 sensing.In 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 2013.The 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 images.The cumulative temporal sum(seasonal and dual-season)of these parameters was supervised classified using Support Vector Machine(SVM)classifier with intensive ground observation samples.Classification 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.

关 键 词：RADARSAT-2 Synthetic Aperture Radar Polarimetric Indices Irrigated Cropland Support Vector Machine Classifier Kabini Critical Zone Observatory 

分 类 号：P64[天文地球—地质矿产勘探]