{"id":"c6a3f9d8-4a48-472a-a2e4-3da8c043e54b","title":"祁连山地区基于SMMR、SSM/I、SSMIS亮温数据的SMAP时间扩展月0.25°×0.25°地表土壤水分数据（SMsmapTE,V1）","title_en":"SMMR, SSM/I and SSMI/S TB-based SMAP time-expanded monthly 0.25°×0.25° land surface soil moisture dataset in Qilian Mountain area (SMsmapTE,V1)","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":"文件命名约定：YYYYMM.tiff\t（YYYY：年，MM：月）;数据版本号：V1; 投影：+proj=longlat +datum=WGS84 +no_defs; 数据格式：GeoTIFF, 44行×72列; 土壤水分单位：cm3/cm3; 土壤水分有效值范围：0.02~0.5; 填充值：NaN","description":"本数据集包括祁连山地区1980、1985、1990、1995和2000年SMAP时间扩展月值0.25°×0.25°地表土壤水分产品。采用随机森林方法，利用SMMR，SSM/I和SSMIS 19 GHz V/H及37 GHz V三个通道的亮温数据及相关辅助数据，实现对SMAP L3级地表土壤水分产品的时间扩展。参与训练随机森林模型的辅助数据包括IGBP地表分类数据，GTOPO30 DEM数据，以及经/纬度等信息。","doi":"10.11888/Geogra.tpdc.270231","projection":"","language":"zh","share_type":"online","east":107.0,"west":89.0,"south":34.0,"north":45.0,"scale":null,"crs":null,"filesize":2.0,"share_policy":"a","ts_created":"2019-05-02T14:58:29.688877+08:00","doi_type":null,"ts_updated":"2021-04-19T09:34:03.264539+08:00","time_description":"1980, 1985,1990, 1995, 2000","datas_group":3,"time_description_en":null,"data_format":null,"project":[11],"specials":["4e7b97a6-ee1f-4b51-83e5-04a100993973","836a1603-47d0-494e-88c1-96723fd8e0bc","836a1603-47d0-494e-88c1-96723fd8e0bc","f2a78cde-1c98-4241-94dc-7532eba32b80","f2a78cde-1c98-4241-94dc-7532eba32b80"],"cite":null,"review_status":5,"review_invite":[{"user_name":"秦军","username":"秦军","email":"shuairenqin@itpcas.ac.cn","is_cancel_expert":true}],"review_editor":{"id":21054,"last_login":"2022-04-10T10:49:12.540341+08:00","username":"tingting","email":"panxd@itpcas.ac.cn","is_active":true,"is_staff":true,"user_name":"潘小多"},"data_sources":"该数据集是利用SMMR，SSM/I和SSMIS的亮温数据及SMAP L3级地表土壤水分数据，基于随机森林算法获取。算法中用到的数据分别来自：\nSMAP地表土壤水分：美国冰雪数据中心NSIDC（http://nsidc.org/）；\nSMMR, SSM/I, SSMIS亮温数据：美国冰雪数据中心NSIDC（http://nsidc.org/）","temporal_resolution":"Monthly","spatial_resolution":"10km","license":"Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)","fund":[6],"subtopics":{"metadata":"c6a3f9d8-4a48-472a-a2e4-3da8c043e54b","three_pole":null,"third_pole":"XDA20100101"},"username":"XDA20100101","review_time":"2019-05-03T16:16:23.546179+08:00","protected_duration":null,"protected_describe":null,"is_important":false,"hit_count":2855}