{"id":"9d186172-c998-4af4-b892-72a03b90c05d","title":"基于风云卫星FY-3B微波成像仪MWRI数据的中国长江日尺度土壤水分数据集（2010-2019）","title_en":"Daily Scale Soil Moisture Data Set of the Yangtze River in China Based on the MWRI Data of FY-3B Microwave Imager of Fengyun Satellite (2010-2019)","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：文件名称为“FY-yyyyddd.tif”，其中yyyy代表年，ddd代表Julian日期","description":"本数据集是一个包含10年（2010-2019）的全球日尺度地表土壤水分数据集，分辨率为36 km，采用EASE-Grid2投影坐标系，数据单位为m3/m3. 数据集采用Yao et al.(2017，2021)发展的土壤水分神经网络反演算法，将SMAP的优势传递到FY-3B/MWRI，利用人工神经网络方法，以SMAP标准土壤水分产品为训练目标，以FY-3B/MWRI的亮温为输入，最终输出长时序土壤水分数据。土壤水分精度和SMAP接近，达到5%左右。（ 全球14个密集观测站网的验证精度 ）。","doi":"","projection":"","language":"zh","share_type":"online","east":112.0,"west":90.0,"south":24.0,"north":36.0,"scale":null,"crs":null,"filesize":9462.0,"share_policy":"a","ts_created":"2022-10-04T14:16:23.441449+08:00","doi_type":"拥有自主知识产权","ts_updated":"2022-10-11T11:23:06.614444+08:00","time_description":"2010-2019","datas_group":3,"time_description_en":"2010-2019","data_format":null,"project":[10],"specials":[],"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":"9d186172-c998-4af4-b892-72a03b90c05d","three_pole":null,"third_pole":null},"username":"孙旭鹏","review_time":null,"protected_duration":null,"protected_describe":null,"is_important":false,"hit_count":280}