{"id":"5994e6c8-d51e-4b96-ab1e-37ad9cfae676","title":"青藏高原归一化植被指数数据集（1982-2015）","title_en":"Normalized Difference Vegetation Index (NDVI) dataset of Tibetan Plateau (1982-2015)","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：NDVI以tif格式存储，文件命名为“GIMMS_NDVI_yyyy_mm.tif”，其中yyyy代表年，mm代表月份。\n数据读取方式：可直接用Arcgis、Matlab打开，或其它可读tif文件的软件。","description":"该数据集是基于GIMMS AVHRR传感器计算的NDVI 3g，是通过红外和近红外通道的反射率计算而得的产品，表征植被的绿度。源数据范围为全球，本数据集选取了青藏高原区域。本数据将原本的半月尺度数据集成至月数据，加工方法为将一个月的两期NDVI取最大值，在最大值滤波的处理下，尽可能达到去除噪声的效果。该数据集是使用最为广泛的NDVI数据之一，常被用作评定植被绿度的时间和空间格局，具有实际意义和理论价值。","doi":"10.11888/Geogra.tpdc.271035","projection":"","language":"zh","share_type":"offline","east":104.67,"west":73.45,"south":25.99,"north":39.83,"scale":null,"crs":null,"filesize":120.0,"share_policy":"c","ts_created":"2020-12-15T04:02:39.471389+08:00","doi_type":"拥有自主知识产权","ts_updated":"2021-07-07T08:40:30.530263+08:00","time_description":"","datas_group":0,"time_description_en":"","data_format":null,"project":[11],"specials":["b6500306-f60b-4aa1-b0b6-0324d94866df","b6500306-f60b-4aa1-b0b6-0324d94866df"],"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":21057,"last_login":"2022-04-02T11:43:37.753860+08:00","username":"gecm","email":"gechm@lzb.ac.cn","is_active":true,"is_staff":true,"user_name":"盖春梅"},"data_sources":null,"temporal_resolution":"Monthly","spatial_resolution":"1km - 10km","license":"Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)","fund":[420],"subtopics":{"metadata":"5994e6c8-d51e-4b96-ab1e-37ad9cfae676","three_pole":null,"third_pole":null},"username":"刘焱序","review_time":null,"protected_duration":null,"protected_describe":null,"is_important":false,"hit_count":2925}