{"id":"082aace5-a02b-4b58-ba07-8094e22a58d5","title":"青藏高原植被指数数据（2000-2018）","title_en":"Vegetation index data of Qinghai Tibet Plateau (2000-2018)","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":"文件命名：数据以tif栅格数据存储，文件的名称为“青藏高原NDVIyyyy.tif”，其中yyyy代表年，比如青藏高原NDVI2000.tif就代表这个TIF文件描述2000年青藏高原的归一化植被指数的年内最大值数据（NDVI-AM）。\n数据读取方式：该数据集可用ArcGIS打开。","description":"本数据集是2000-2018年青藏高原地区归一化植被指数的年内最大值数据（NDVI-AM）。数据为栅格TIFF格式，空间分辨率为250米，栅格数据值域为[-1,1]。可用于青藏高原植被覆盖度变化、草地退化等生态环境变化的研究，也可以为城镇化与生态环境交互胁迫研究提供数据支持。该数据是基于MODIS中分辨传感器MOD13系列的陆地2级标准数据产品计算的（https://modis.gsfc.nasa.gov/data/dataprod/mod13.php）。该2级产品数据是对原始的MODIS原始数据集进行加工后生成的特定应用数据产品。NDVI-AM数据根据其中的归一化植被指数珊格数据，计算每个像元NDVI的年内最大值而加工生成的。","doi":"10.11888/Ecolo.tpdc.270449","projection":"","language":"zh","share_type":"online","east":104.67,"west":73.5,"south":26.99,"north":39.83,"scale":null,"crs":null,"filesize":2500.0,"share_policy":"a","ts_created":"2019-11-22T01:27:03.863656+08:00","doi_type":"国际公开共享数据","ts_updated":"2021-04-19T16:14:08.408447+08:00","time_description":"2000-2018","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":"潘小多","username":"tingting","email":"panxd@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":"Yearly","spatial_resolution":"100m - 1km","license":"Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)","fund":[6],"subtopics":{"metadata":"082aace5-a02b-4b58-ba07-8094e22a58d5","three_pole":null,"third_pole":"XDA20040401"},"username":"XDA20040401","review_time":"2020-05-13T16:55:57.054170+08:00","protected_duration":null,"protected_describe":null,"is_important":false,"hit_count":4180}