{"id":"9419460b-913c-41d4-8c08-43406851ab43","title":"咸海流域叶面积指数数据集（2019）","title_en":"Aral Sea basin leaf area index data set (2019)","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：叶面积指数数据以栅格格式存储，文件的名称为“yyyyddd.tif”，其中yyyy代表年，ddd代表一年中的第几天，比如2019009.tif描述2019年第二个八天的咸海叶面积指数的平均值。\n数据读取方式：该数据集中的所有.tif文件可以直接用ArcGIS打开，所显示的grid文件就是该数据的图形表达。","description":"数据内容：咸海流域2019年叶面积指数数据。\n\n数据来源及加工方法：来源于美国国家航空航天局中分辨率成像光谱仪，提取MOD15A2产品第二波段作为叶面积指数数据，乘以比例因子0.1。\n\n数据质量：空间分辨率为500m×500m，时间分辨率为8天，每个像元的值为八天叶面积指数的平均值。\n\n数据应用成果：在气候变化背景下，可用于气象要素和植被特征相关关系分析，也可以与其它植被数据相结合分析某种植被类型的区域分布。","doi":"","projection":"","language":"zh","share_type":"online","east":78.21,"west":53.37,"south":33.48,"north":47.12,"scale":null,"crs":null,"filesize":73.0,"share_policy":"a","ts_created":"2021-12-23T15:11:35.035358+08:00","doi_type":"国际公开共享数据","ts_updated":"2022-01-27T20:15:39.704492+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":"Daily","spatial_resolution":"100m - 1km","license":"Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)","fund":[6],"subtopics":{"metadata":"9419460b-913c-41d4-8c08-43406851ab43","three_pole":null,"third_pole":"XDA20060303"},"username":"XDA20060303","review_time":null,"protected_duration":null,"protected_describe":null,"is_important":false,"hit_count":135}