{"id":"8871682b-1318-4e9b-a106-9b26145c1b1a","title":"黑河生态水文遥感试验：黑河流域30m/月合成叶面积指数（LAI）数据集","title_en":"HiWATER: 30m month compositing Leaf Area Index (LAI) product of the Heihe River Basin","serial":"HiWATER","user_limit":"本数据由“黑河生态水文遥感试验（HiWATER）”产生，用户在使用数据时请在正文中明确声明数据的来源，并在参考文献部分引用本元数据提供的引用方式。","instructions":"","description":"黑河流域30m/月合成叶面积指数（LAI）数据集提供了2011-2014年的月度LAI合成产品，该数据利用我国国产卫星HJ/CCD数据兼具较高时间分辨率（组网后2天）和空间分辨率（30m）的特点构造多角度观测数据集，考虑地表分类和地形起伏影响，算法针对不同植被类型特点选择适宜的一体化模型参数化方案，基于查找表方法反演LAI。每月获取的遥感数据能够提供比单天传感器数据更多的角度和更多次的观测，但由于传感器的在轨运行时间及性能差异，多时相、多角度观测数据的质量参差不齐。因此，为有效利用多时相、多角度观测数据，首先设计了数据质量检查方案。利用黑河上游大野口地区与中游盈科、临泽等地区的9个森林样方，20个农田样方和14个稀树草原样方的LAI地面观测数据验证7月份LAI，反演结果与测量结果吻合得很好，平均误差小于1；此外联合多时相、多角度观测数据的LAI反演结果与地面实测数据具有较好的一致性（R2=0.9，RMSE=0.42）。总之，黑河流域30m/月合成叶面积指数（LAI）数据集综合利用多时相、多角度观测数据以提高参数产品的估算精度、时间分辨率等，更好的服务于遥感数据产品的应用。","doi":"10.3972/hiwater.288.2016.db","projection":"WSG-84","language":"zh","share_type":"online","east":101.8,"west":97.8,"south":37.3,"north":42.1,"scale":null,"crs":null,"filesize":5939.2,"share_policy":"a","ts_created":"2016-04-08T23:18:58+08:00","doi_type":"","ts_updated":"2021-04-19T14:19:51.041312+08:00","time_description":"","datas_group":3,"time_description_en":"","data_format":"ENVI标准格式","project":[10,11,15],"specials":["ee3dfdf5-2e9f-4b61-a301-4fb49e30e3c2","df303c6d-ed5c-47f4-997f-57abe690db72","45a2b294-7cd9-4dc6-bc41-6435a6a717da","4e7b97a6-ee1f-4b51-83e5-04a100993973"],"cite":null,"review_status":5,"review_invite":[],"review_editor":null,"data_sources":null,"temporal_resolution":null,"spatial_resolution":null,"license":"Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)","fund":[47,48,49],"subtopics":{"metadata":"8871682b-1318-4e9b-a106-9b26145c1b1a","three_pole":null,"third_pole":null},"username":"胡晓利","review_time":null,"protected_duration":6,"protected_describe":null,"is_important":false,"hit_count":5976}