{"id":"98759197-1f44-40fb-a316-ca2ebf2b5aaa","title":"中国长江上游及西南地区 8km GLOBMAP LAI数据集（1981-2020）","title_en":"8km GLOBMAP LAI dataset in the upper reaches of the Yangtze River and southwest China (1981-2020)","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：GLOBMAP LAI数据以GeoTIFF格式存储，文件的名称为“GlobMapLAIV3.Ayyyyddd.Global.LAI.tif“，其中yyyy代表年，ddd代表Julian日期，比如GlobMapLAIV3.A2016001.Global.LAI.tif就代表这个GeoTIFF文件描述2016年第一天长江上游及西南地区的叶面积指数情况。数据读取方式：该数据集中的所有GeoTIFF可以直接用Arcgis打开。","description":"GLOBMAP叶面积指数产品 (Version 3) 提供了全球1981年以来的高一致性长时间序列叶面积指数(Leaf Area Index, LAI)数据，产品持续更新。数据覆盖全球植被区域，空间分辨率为8km，采用经纬度坐标。产品基于AVHRR和MODIS数据定量融合反演得到，2000年前后分别为AVHRR和MODIS数据反演结果。算法首先基于MODIS地表反射率产品MOD09A1利用GLOBCARBON LAI算法(Deng et al., 2006)反演得到MODIS LAI序列，然后基于两个传感器的重叠观测构建AVHRR GIMMS NDVI与MODIS LAI像元级的关系，并基于该关系回溯反演了AVHRR LAI。","doi":"10.5281/zenodo.4700264","projection":"WGS84","language":"zh","share_type":"online","east":112.5,"west":89.0,"south":20.5,"north":36.5,"scale":null,"crs":null,"filesize":180.0,"share_policy":"a","ts_created":"2022-09-28T16:14:11.783701+08:00","doi_type":"沿用数据已有DOI","ts_updated":"2022-10-17T19:30:55.778296+08:00","time_description":"","datas_group":3,"time_description_en":"","data_format":null,"project":[10],"specials":["1832ecb3-70d0-4b5e-bdb5-2e9ff4ad1efe","b4b306da-eab1-47ef-ae5d-be2556298efd"],"cite":null,"review_status":5,"review_invite":[],"review_editor":null,"data_sources":null,"temporal_resolution":"Daily","spatial_resolution":"1km - 10km","license":"Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)","fund":[],"subtopics":{"metadata":"98759197-1f44-40fb-a316-ca2ebf2b5aaa","three_pole":null,"third_pole":null},"username":"李丹丹","review_time":null,"protected_duration":null,"protected_describe":null,"is_important":false,"hit_count":452}