遇见数据集

南北极SAR冰盖表面冻融 V1.0(2015-2020)

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目前,基于提出的利用变化检测和决策树算法的SAR冰盖冻融探测算法,利用sentinel-1 EW SAR数据对南北极冰盖月平均冻融进行了探测。同时利用已经开发的基于大数据平台的冻融产品生产模块,国际上首次生产了南极冰盖和格陵兰冰盖冻融产品,通过自动气象站温度数据研制,冰盖冻融探测精度达到90%。目前,数据产品获取时间主要为南北极的夏季,其中南极冰盖产品为1、2、3、10、11、12月和格陵兰的产品为5、6、7、8、9、10月。

Currently, a proposed SAR-based ice sheet freeze-thaw detection algorithm that utilizes change detection and decision tree algorithms has been used to detect monthly average freeze-thaw conditions of ice sheets in the Arctic and Antarctic using Sentinel-1 EW SAR data. Meanwhile, leveraging the developed freeze-thaw product production module based on a big data platform, we have, for the first time internationally, produced freeze-thaw products for the Antarctic and Greenland ice sheets. Validated against temperature data from automatic weather stations, the ice sheet freeze-thaw detection accuracy reaches 90%. At present, these data products are primarily available for the summer seasons of the two polar regions: the Antarctic ice sheet products cover January, February, March, October, November, and December, while the Greenland ice sheet products cover May, June, July, August, September, and October.

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