{"id":"f74b301d-edaf-4f41-b46f-4db350150f07","title":"“一带一路”沿线国家生态供给NPP数据集（2000-2015）","title_en":"NPP data set  in countries along the Belt and Road (2000-2015)","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":"1）数据命名规则为“merge年份”，如merge2010代表2010年NPP数据；\n2）数据单位为0.001gC/m2\n3）数据格式为.Tif，可用ArcGIS软件打开","description":"本数据为“泛第三极环境变化与绿色丝绸之路建设”专项数据中的生态供给NPP数据集。该数据集基于植被光合作用模型（Vegetation Photosynthesis Model，VPM）模型遥感反演生成，其中，VPM （Vegetation Photosynthesis Model） 模型是一个基于卫星遥感数据和通量观测数据发展起来的光能利用率模型，模型的主要遥感驱动数据是EVI（Enhanced Vegetation Index）与LSWI（Land Surface Water Index）时间序列数据。NPP数据集的时间尺度为2000-2015年，空间分辨率为500 m，空间范围为“一带一路”沿线国家。该数据集表现出良好的模拟能力，可用于“一带一路”地区及其中个别国家的生态供给量、生态承载力等的准确估算，以及陆地生态系统碳循环的时空动态研究。","doi":"","projection":"","language":"zh","share_type":"online","east":180.0,"west":12.0,"south":-10.0,"north":80.0,"scale":null,"crs":null,"filesize":12390.0,"share_policy":"a","ts_created":"2021-12-05T16:35:20.539743+08:00","doi_type":"国际公开共享数据","ts_updated":"2022-04-01T12:27:47.734614+08:00","time_description":"2000年-2015年","datas_group":3,"time_description_en":"2000-2015","data_format":null,"project":[11],"specials":[],"cite":null,"review_status":5,"review_invite":[{"user_name":"张扬建","username":"naqu3228","email":"zhangyj@igsnrr.ac.cn","is_cancel_expert":true},{"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":"<= 0.01º","license":"Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)","fund":[6],"subtopics":{"metadata":"f74b301d-edaf-4f41-b46f-4db350150f07","three_pole":null,"third_pole":"XDA20010202"},"username":"XDA20010202","review_time":null,"protected_duration":null,"protected_describe":null,"is_important":false,"hit_count":34}