{"id":"0e0a56bc-a9d0-4a39-b348-d801649bd4b5","title":"基于Sentinel-1 SAR数据的青藏高原湖泊面积季节变化","title_en":"Seasonal cycles of lakes on the Tibetan Plateau detected by Sentinel-1 SAR data","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":"LakeSeasonalCycle_2015-2017.shp","description":"青藏高原由于高云覆盖，通常用来监测湖泊面积的光学遥感影像数据，如Landsat只能用来监测湖泊年尺度面积变化，而对湖泊季节变化研究了解较少。使用Sentinel-1 SAR数据，对青藏高原大于50平方公里湖泊月尺度面积进行了提取。研究显示，湖泊的季节变化显示出截然不同的模式，面积较大的湖泊（> 100 km2）在8-9月达到峰值，而较小的湖泊（50-100 km2）面积在6-7月达到峰值。封闭湖泊面积的季节峰值更突出，而外流湖的季节峰值更平缓。冰川补给湖相对于非冰川补给湖显示了延迟的面积峰值。同时，大尺度的大气环流，如西风、印度季风、和东亚季风也影响着湖泊面积的季节变化。此研究为监测湖泊面积年内变化弥补了空白。","doi":"10.​1016/​j.​scitotenv.​2019.​135563","projection":null,"language":"zh","share_type":"online","east":105.0,"west":70.0,"south":29.0,"north":40.0,"scale":null,"crs":null,"filesize":10.0,"share_policy":"a","ts_created":"2020-01-24T22:17:45.851698+08:00","doi_type":null,"ts_updated":"2021-04-19T22:45:10.917887+08:00","time_description":"","datas_group":3,"time_description_en":"","data_format":null,"project":[11],"specials":[],"cite":null,"review_status":5,"review_invite":[{"user_name":"王磊","username":"wangshenglei98","email":"wanglei@itpcas.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":"Monthly","spatial_resolution":"10m - 100m","license":"Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)","fund":[],"subtopics":{"metadata":"0e0a56bc-a9d0-4a39-b348-d801649bd4b5","three_pole":null,"third_pole":null},"username":"张国庆","review_time":"2020-01-24T23:21:02.216253+08:00","protected_duration":null,"protected_describe":null,"is_important":false,"hit_count":6458}