{"id":"8d461d86-505a-429d-b9a7-f49447c4f186","title":"长江上游地区 SMOS L3 植被光学厚度数据集（2010-2022）","title_en":"SMOS L3 Vegetation Optical Depth data set in the upper reaches of the Yangtze River (2010-2022)","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":"文件的名称为“SM_OPER_MIR_CLF31x_yyyymmddThhmmss_YYYYMMDDTHHMMSS_vvv_ccc_n\"。 “CLF31x”中x表示升降轨，\"A\"表示升轨 \"D\" 表示降轨。 “yyyymmddThhmmss”表示产品中包含的数据开始时间","description":"该数据集是使用τ-ω模型，结合欧洲航天局(ESA) SMOS任务的微波成像辐射计(MIRAS)在H和V极化L波段(1.4 GHz)获得的TB反演得到的。在TB上应用阈值和2-sigma标准来过滤无效数据。基于这些干扰的建模方法的RFI标志来用于屏蔽受污染的像素。由于SMOS数据的分辨率较粗(在25 - 60公里之间)，一个像素内的土壤和植被并不均匀。每个像素TB是每一种植被和土壤类型覆盖率加权的散射总和。该数据空间分辨率为25 km，时间分辨率为1天。","doi":"","projection":"","language":"zh","share_type":"online","east":112.0,"west":89.0,"south":24.0,"north":36.5,"scale":null,"crs":null,"filesize":120.0,"share_policy":"a","ts_created":"2022-10-14T21:54:11.685219+08:00","doi_type":"国际公开共享数据","ts_updated":"2022-10-17T19:30:35.926971+08:00","time_description":"","datas_group":3,"time_description_en":"","data_format":null,"project":[10],"specials":["b4b306da-eab1-47ef-ae5d-be2556298efd"],"cite":null,"review_status":5,"review_invite":[],"review_editor":null,"data_sources":null,"temporal_resolution":"Daily","spatial_resolution":"10km - 100km","license":"Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)","fund":[],"subtopics":{"metadata":"8d461d86-505a-429d-b9a7-f49447c4f186","three_pole":null,"third_pole":null},"username":"周芷兰","review_time":null,"protected_duration":null,"protected_describe":null,"is_important":false,"hit_count":318}