{"id":"2c348ad5-a8f3-40d5-b523-55e11f32465c","title":"泛第三极34个关键节点历史极端降水导致地表淹没范围数据集（2014-2018）","title_en":"Dataset of surface inundation caused by historical extreme precipitation for The 34 critical nodes of the pan third pole (2014-2018)","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":".tiff格式，可以使用ArcGIS10.2打开","description":"历史极端降水导致地表淹没范围数据集评估了一带一路重点区域在极端降水下地表被淹没的范围，为当地政府部门决策提供依据和参考，以便在极端降水发生前进行预警，降低极端降水所带来的生命财产损失。\n此数据集以极端降水阈值集和极端降水识别数据为基础，确认发生极端降水的时间节点和区域，再到NASA网站上下载对应时间和地区的淹没范围产品，利用ArcGIS空间分析结合连接以上数据，构建了34个关键节点历史极端降水导致地表淹没范围数据集。\n数据主要包括34个关键节点（万象、中缅石油天然气管道、中老泰柬铁路、亚历山大港、仰光、关丹、加尔各答、华沙、卡拉奇、叶卡捷琳堡、叶卡捷琳堡等区域）","doi":"10.11888/Meteoro.tpdc.270721","projection":"","language":"zh","share_type":"online","east":109.0,"west":11.0,"south":2.0,"north":51.0,"scale":11100,"crs":null,"filesize":3450.0,"share_policy":"a","ts_created":"2020-01-29T16:13:08.145462+08:00","doi_type":"拥有自主知识产权","ts_updated":"2021-04-19T15:17:29.076905+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":42421,"last_login":"2022-04-08T15:16:51.670544+08:00","username":"任慧霞","email":"510727846@qq.com","is_active":true,"is_staff":true,"user_name":"任慧霞"},"data_sources":null,"temporal_resolution":"Daily","spatial_resolution":"10km - 100km","license":"Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)","fund":[6],"subtopics":{"metadata":"2c348ad5-a8f3-40d5-b523-55e11f32465c","three_pole":null,"third_pole":"XDA20030302"},"username":"XDA20030302","review_time":"2020-01-29T17:47:27.609931+08:00","protected_duration":null,"protected_describe":null,"is_important":false,"hit_count":2002}