{"id":"24785f14-1ef6-4112-92c0-938900b79ace","title":"泛第三极相对湿润度指数数据集（2011-2015）","title_en":"Relative wetness index dataset in Pan-Third Pole (2011-2015)","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":"数据以栅格ENVI标准格式(.dat)存储，国家名称命名文件夹，可以采用ARCGIS、ENVI打开查看","description":"在全球变暖的背景下，干旱发生的频率和强度呈增加趋势，由于干旱灾害所引发的水资源匮乏、粮食危机、生态恶化（如荒漠化）等，直接威胁到国家的粮食安全和社会经济发展，干旱灾害风险评估及应急管理的技术水平亟待提高。“一带一路”沿线区域生态环境脆弱、农业耕地集中、干旱灾害频繁，利用遥感卫星监测大区域的干旱水平及其时空变化，对于科学掌握“一带一路”地区的干旱格局、区域分异特征，及其对农业耕地的影响具有重要的科学和现实意义。相对湿润度指数为某段时间的降水量与同时段内潜在蒸散量之差再除以同时段内潜在蒸散量得到。降水量数据来自TRMM/GPM卫星降水数据降尺度，潜在蒸散量的估算采用Thornthwaite方法。详细算法请参考《气象干旱国家标准》(GB/T 20481-2017)。数据仅覆盖一带一路沿线34个关键节点区域。","doi":"","projection":"","language":"zh","share_type":"online","east":180.0,"west":12.0,"south":-11.0,"north":82.0,"scale":null,"crs":null,"filesize":1060.0,"share_policy":"a","ts_created":"2020-01-26T14:52:07.931972+08:00","doi_type":"国际公开共享数据","ts_updated":"2021-04-19T16:53:14.648596+08:00","time_description":"","datas_group":3,"time_description_en":"","data_format":null,"project":[11],"specials":["f2a78cde-1c98-4241-94dc-7532eba32b80"],"cite":null,"review_status":5,"review_invite":[{"user_name":"冉有华","username":"ryh","email":"ranyh@lzb.ac.cn","is_cancel_expert":false}],"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":null,"temporal_resolution":"Daily","spatial_resolution":"100m - 1km","license":"Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)","fund":[6],"subtopics":{"metadata":"24785f14-1ef6-4112-92c0-938900b79ace","three_pole":null,"third_pole":"XDA20030302"},"username":"XDA20030302","review_time":"2020-03-02T14:03:25.801483+08:00","protected_duration":null,"protected_describe":null,"is_important":false,"hit_count":1184}