{"id":"0a59e64c-93d8-49b0-81cc-aac9586d8d5d","title":"中国西南地区250mSoilGrids（2016）","title_en":"250mSoilGrids in Southwest China (2016)","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：土壤属性+土壤深度，例如PH0-5.tif表示0-5cm深度土层的土壤pH值。\n数据读取方式：可用Arcgis打开。","description":"SoilGrids基于约150000个用于训练的土壤剖面和一堆158个基于遥感的土壤协变量（主要来自MODIS土地产品，SRTM DEM衍生物、气候图像和全球地形和岩性图）用于拟合机器学习方法的集合随机森林和梯度，在R包中实现的增强和多项式逻辑回归，对七个标准深度（0、5、15、30、60、100和200 cm）的标准数值土壤特性（有机碳、体积密度、氮、阳离子交换量、pH值、土壤质地含量和粗碎屑）进行了预测。","doi":"","projection":"WGS84","language":"zh","share_type":"online","east":112.5,"west":97.0,"south":20.5,"north":34.5,"scale":null,"crs":null,"filesize":2950.0,"share_policy":"a","ts_created":"2022-10-13T15:36:47.931969+08:00","doi_type":"拥有自主知识产权","ts_updated":"2022-10-20T11:02:18.514581+08:00","time_description":"2016","datas_group":3,"time_description_en":"","data_format":null,"project":[10],"specials":["1832ecb3-70d0-4b5e-bdb5-2e9ff4ad1efe"],"cite":null,"review_status":5,"review_invite":[],"review_editor":null,"data_sources":null,"temporal_resolution":"Yearly","spatial_resolution":"100m - 1km","license":"Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)","fund":[],"subtopics":{"metadata":"0a59e64c-93d8-49b0-81cc-aac9586d8d5d","three_pole":null,"third_pole":null},"username":"王婷","review_time":null,"protected_duration":null,"protected_describe":null,"is_important":false,"hit_count":326}