{"id":"a01f2667-930d-4b04-820a-c9e3c208a3e9","title":"青藏高原 MODIS 逐日无云积雪面积数据集（2002-2015）","title_en":"MODIS daily cloud-free snow cover product over the Tibetan Plateau (2002-2015)","serial":"地球大数据科学工程专项时空三极环境项目","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":"","description":"青藏高原地区积雪的赋存变化较快，高原周边高山区具有冰雪资源丰富，大气对流活跃等特点，而光学遥感往往受云的影响，在日时间尺度上积雪覆盖监测需要考虑去云问题。在充分考虑青藏高原的地形和山地积雪特征的情况下，本套数据集采用了多种去云过程和步骤相结合，逐步实现保持积雪分类精度的情况下，完成逐日积雪面积的云量消除，形成了“青藏高原 MODIS 逐日无云积雪面积”的逐步综合分类算法,完成了“青藏高原 MODIS 逐日无云积雪面积数据集（2002 - 2015 年）”。选取 2009年 10 月 1 日至 2011 年 4 月 30 日中的两个积雪季为算法研究和精度验证试验数据，采用研究区 145 个地面台站提供的雪深数据作为地面参考。结果表明，在高原地区，当积雪深度＞ 3 cm 时，无云积雪产品总分类精度达到 96.6％，积雪分类精度达 89.0％，整个算法流程对WGS84投影的中等分辨率的MODIS积雪产品MOD10A1以及MYD10A1为基础，去云的精度损失较低，数据可靠性较高。","doi":"10.11888/Hydrol.tpe.00000026.file","projection":"","language":"zh","share_type":"online","east":107.0,"west":67.0,"south":25.0,"north":45.0,"scale":250000,"crs":"","filesize":7065.6,"share_policy":"a","ts_created":"2018-02-22T18:58:31+08:00","doi_type":"","ts_updated":"2021-04-19T19:43:20.238985+08:00","time_description":"","datas_group":3,"time_description_en":"","data_format":"Geotiff","project":[10,11],"specials":["1832ecb3-70d0-4b5e-bdb5-2e9ff4ad1efe","f2a78cde-1c98-4241-94dc-7532eba32b80"],"cite":"邱玉宝,郭华东,除多,张欢,施建成,石利娟,郑照军,拉巴卓玛.青藏高原MODIS逐日无云积雪面积数据集（2002～2015年)[J/OL].中国科学数据,2016,1(1) .","review_status":5,"review_invite":[],"review_editor":{"id":21057,"last_login":"2022-04-02T11:43:37.753860+08:00","username":"gecm","email":"gechm@lzb.ac.cn","is_active":true,"is_staff":true,"user_name":"盖春梅"},"data_sources":"","temporal_resolution":"Yearly","spatial_resolution":"","license":"Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)","fund":[5],"subtopics":{"metadata":"a01f2667-930d-4b04-820a-c9e3c208a3e9","three_pole":"XDA19070201","third_pole":null},"username":"邱玉宝","review_time":null,"protected_duration":6,"protected_describe":null,"is_important":false,"hit_count":4848}