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作 者:张焱[1,2] 李新武[1] 梁雷[1] Zhang Yan Li Xinwu Liang Lei(Institute of Remote Sensing and Digital Earth Chinese Academy of Sciences ,Beijing 100094,China University of Chinese Academy of Sciences ,Beijing 100049 ,China)
机构地区:[1]中国科学院遥感与数字地球研究所,北京100094 [2]中国科学院大学,北京100049
出 处:《遥感技术与应用》2017年第1期113-120,共8页Remote Sensing Technology and Application
基 金: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
摘 要:提出基于DVPR时间序列的散射计冰盖冻融探测算法,利用2000~2009年格陵兰地区的QSCAT数据加以实现,得到2000~2009年格陵兰冰盖的冻融分类结果,并进一步探测出融化部分的融化开始时间、融化结束时间以及融化持续时间,最后结合两种已有的散射计冻融探测方法和格陵兰岛自动气象站数据来对实验结果进行交叉对比验证和实地温度数据验证。研究表明,DVPR时间序列法具有更好的分类精度,并且在冰盖融化起止时间的探测上非常准确。此外,该方法在时间和空间上具有可移植性,可广泛使用。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 characteris- tics.We implemented this algorithm using QSCAT data of Greenland for 2000-2009 and then got the melt extent of Greenland for 2000-2009.Further, we found out the annual melt onset, melt end and melt duration where expe- rienced melt for 2000-2009 respectively.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.
分 类 号:TP722.6[自动化与计算机技术—检测技术与自动化装置]
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