{"id":"00b3315b-e7f6-4a4c-93b3-d9c790fd62e7","title":"青藏高原湖泊动态数据集（V1.0）（1984-2016）","title_en":"Lake surface area dynamics on the Tibetan Plateau (Version 1.0) (1984-2016)","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":"青藏高原湖泊动态数据集采用美国陆地资源卫星（Landsat）遥感数据为主，采用波段比值与阈值分割方法制作，数据覆盖时间从1984年到2016年，时间分辨率为5年一期，覆盖范围为青藏高原，空间分辨率为30m。水体面积提取方法采用波段比值（B4/B2）或者水体指数（MNDWI）为主，构建分类树，算法构建考虑水体的光谱特征在时间和空间上的变化，并且考虑水体所处的空间为主的坡度、坡向信息调整决策树的阈值。长时间序列星载卫星数据来自Landsat MSS、TM、ETM+和OLI等系列传感器。水体信息提取的最小单元为2*2个像元，小于0.36*10^-2Km²的水体全部剔除。通过高分辨率遥感数据提取的水体信息以及目视解译确定的水体检验点的验证表明青藏高原水体面积信息的总体精度优于95%。数据以shape文件保存，投影方式为Albers投影，中央经线为105 °，双标准纬线纬度为25 °和47 °。","doi":"10.11888/Lake.tpe.0000011.file","projection":"Albers","language":"zh","share_type":"online","east":105.0,"west":70.0,"south":27.0,"north":40.0,"scale":250000,"crs":"","filesize":52.39,"share_policy":"a","ts_created":"2018-03-12T05:13:59+08:00","doi_type":null,"ts_updated":"2021-04-19T21:56:14.500923+08:00","time_description":"","datas_group":3,"time_description_en":null,"data_format":"txt","project":[10,11],"specials":["1832ecb3-70d0-4b5e-bdb5-2e9ff4ad1efe","f2a78cde-1c98-4241-94dc-7532eba32b80"],"cite":"宋开山. 青藏高原湖泊动态数据集（V1.0）. 时空三极环境大数据共享与集成平台. 2018","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":"1 year < x < 10 year","spatial_resolution":"m","license":"Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)","fund":[6],"subtopics":{"metadata":"00b3315b-e7f6-4a4c-93b3-d9c790fd62e7","three_pole":null,"third_pole":null},"username":"","review_time":null,"protected_duration":6,"protected_describe":null,"is_important":false,"hit_count":6262}