极地研究2017，Vol.29Issue(3)：420-426,7.DOI:10.13679/j.jdyj.2017.1.420
基于FY-3的格陵兰岛冰盖表面冻融探测方法研究
STUDY ON ICE-SHEET FREEZE-THAW DETECTION METHOD IN GREENLAND BASED ON FY-3 DATA
摘要
Abstract
The Greenland Ice Sheet is of extreme importance in relation to global climate, and the freeze-thaw characteristics of the ice sheet reflect Arctic climate change. Using Microwave Radiation Imager (MWRI) data acquired by the Chinese FY-3 satellite, the Cross-Polarized Gradient Ratio (XPGR) method is intro-duced, which increases the otherness of dry and wet snow. The Support Vector Machine (SVM) hyperplane, which has better detection capability compared with the existing threshold method, is used to detect freeze-thaw information on the Greenland Ice Sheet. Comparison of the results with Special Sensor Micro-wave Imager (SSM/I) data (with a threshold of-0.025) showed the proposed method (i.e., XPGR combined with SVM) is feasible for the detection of surface freeze-thaw information on the Greenland Ice Sheet.关键词
FY-3/格陵兰岛/XPGR算法/SVM算法Key words
FY-3/Greenland/XPGR algorithm/SVM algorithm引用本文复制引用
王星东,潘少华,王成,李新广..基于FY-3的格陵兰岛冰盖表面冻融探测方法研究[J].极地研究,2017,29(3):420-426,7.基金项目
国家自然科学基金(41606209)、河南工业大学博士基金(150525)、江西省数字国土重点实验室开放研究基金(DDLJ201405)、中国极地科学战略研究基金(20150312)、郑州科技局自然科学项目(20150251)、河南工业大学"省属高校基本科研业务专项资金"项目(2015QNJH16)、国家重点研发计划(2016FYB0501501)资助 （41606209）
