{"id":"5bf05811-a51b-4592-8058-52be681f7531","title":"南北极SAR冰盖表面冻融 V1.0（2015-2019）","title_en":"SAR ice sheet freezing-thawing data for Antarctica and Greenland V1.0 (2015-2019)","serial":"","user_limit":"为尊重知识产权、保障数据作者的权益、扩展数据中心的服务、评估数据的应用潜力，请数据使用者在使用数据所产生的研究成果中（包括公开发表的论文、论著、数据产品和未公开发表的研究报告、数据产品等成果），明确注明数据来源和数据作者。对于转载（二次或多次发布）的数据，作者还须注明原始数据来源。","instructions":"文件命名：数据以tif栅格格式存储，文件的名称SPyyyy_mm.tif以获取时间命名，如：SP2015_04.tif，yyyy代表年，mm代表月份，文件描述的是2015年4月冰盖表面冻融情况。\n数据读取方式：数据可以用Arcgis，Qgis等软件打开，也可以用程序读取，栅格主体数值代表冰盖表面冻融值。","description":"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。","doi":"","projection":null,"language":"zh","share_type":"online","east":180.0,"west":-180.0,"south":-90.0,"north":90.0,"scale":null,"crs":null,"filesize":1024.0,"share_policy":"a","ts_created":"2019-10-23T14:00:19.420166+08:00","doi_type":"","ts_updated":"2021-04-17T20:04:09.896785+08:00","time_description":"","datas_group":3,"time_description_en":"","data_format":null,"project":[10,11],"specials":["b4b306da-eab1-47ef-ae5d-be2556298efd","5f218875-5eed-4939-8208-7bf54c573e42"],"cite":null,"review_status":5,"review_invite":[],"review_editor":{"id":21056,"last_login":"2022-02-09T12:02:24.544987+08:00","username":"huxiaoli","email":"huxiaoli@lzb.ac.cn","is_active":true,"is_staff":true,"user_name":"胡晓利"},"data_sources":"","temporal_resolution":"Monthly","spatial_resolution":"m","license":"Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)","fund":[5],"subtopics":{"metadata":"5bf05811-a51b-4592-8058-52be681f7531","three_pole":"XDA19070202","third_pole":null},"username":"","review_time":"2019-10-26T02:38:59.843046+08:00","protected_duration":null,"protected_describe":null,"is_important":false,"hit_count":1903}