{"id":"202450ca-6f7d-4a3a-b398-abd1784802df","title":"藏东南月度1KM植被指数（NDVI）空间分布数据集（2000-2018）","title_en":"Monthly 1KM spatial distribution data set of vegetation index (NDVI) in southeast Tibet (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":"数据文件名”ndviyyyymmdd”，其中“yyyy”代表年份，“mm”代表月份，“dd”代表日期。数据为GRID格式，空间分辨率为1km，可使用ArcGIS打开。","description":"植被指数（NDVI, Normalized Difference Vegetation Index）可以准确反映地表植被覆盖状况。目前，基于SPOT/VEGETATION以及MODIS等卫星遥感影像得到的NDVI时序数据已经在各尺度区域的植被动态变化监测、土地利用/覆被变化检测、宏观植被覆盖分类和净初级生产力估算等研究中得到了广泛的应用。藏东南1KM植被指数（NDVI）空间分布数据集是在MODIS（https://ladsweb.modaps.eosdis.nasa.gov/）16天1KM地表反射率数据（MOD13）基础上，采用最大值合成法生成的2000年以来的月度植被指数数据集。该数据集有效反映了藏东南地区在空间和时间尺度上的植被覆盖分布和变化状况，对植被变化状况监测、植被资源合理利用和其它生态环境相关领域的研究有十分重要的参考意义。月度NDVI数据为每月NDVI数据数值的最大值，数据获取时间为2000年2月—2018年12月。下载的数据为GRID格式，空间分辨率为1km。","doi":"10.11888/Terre.tpdc.271977","projection":"","language":"zh","share_type":"online","east":105.0,"west":90.0,"south":26.0,"north":33.0,"scale":null,"crs":null,"filesize":3097.52,"share_policy":"a","ts_created":"2022-01-22T20:40:39.160649+08:00","doi_type":"拥有自主知识产权","ts_updated":"2022-02-09T19:55:51.899305+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":"冯敏","username":"mfeng","email":"mfeng@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":"1km - 10km","license":"Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)","fund":[21],"subtopics":{"metadata":"202450ca-6f7d-4a3a-b398-abd1784802df","three_pole":null,"third_pole":null},"username":"杨丽虎","review_time":null,"protected_duration":null,"protected_describe":null,"is_important":false,"hit_count":161}