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《Remote Sensing Technology and Application》 2017-01
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Study Onice-sheet Snowmelt Detecting Method in Greenland Derived from Microwave Scatterometer Data

Zhang Yan;Li Xinwu;Liang Lei;Institute of Remote Sensing and Digital Earth Chinese Academy of Sciences;University of Chinese Academy of Sciences;  
A scatterometer ice-sheet snowmelt detecting method based on DVPR time series was proposed,in which the Identification wet snow and its melt onset and end date just depend on its DVPR temporal change characteristics.We implemented this algorithm using QSCAT data of Greenland for 2000~2009and then got the melt extent of Greenland for 2000~2009.Further,we found out the annual melt onset,melt end and melt duration where experienced melt for 2000~2009respectively.Finally,this study applied the comparison of two scatterometer snowmelt detecting methods and validation based on the AWS field data in Greenland to validate the results of the DVPR method.The results showed that the method based on DVPR time series had better classification accuracy,and that this method were more precise for detecting the melt onset and melt end of the ice sheets.In addition,the DVPR method can be widely applied in snowmelt detection for different regions and different periods.
【Fund】: 国际重大合作研究项目“全球环境变化遥感对比研究”(41120114001)资助
【CateGory Index】: P343.6;TP722.6
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