本数据集为大兴安岭西坡额尔古纳地区根河流域根区土壤水分分布数据，结合基于机械/人工钻和探坑获取的土壤水分测量数据；环境因子数据来源于气候、土壤、地形、植被类型等空间数据集，采用机器学习方法（Extra Trees）进行模型构建。数据格式为GeoTIFF，空间分辨率约30 m，投影为WGS_1984_Albers。", "ds_source": "
原始数据：样本点基于机械/人工钻和探坑获取的土壤水分测量数据；\n
环境因子数据来源于气候、土壤、地形、植被类型等空间数据集。", "ds_process_way": "
利用Python和ArcGIS工具对环境因子数据进行处理，采用Extra Trees模型进行10层土壤水分空间预测。", "ds_quality": "
本数据采用机器学习方法进行模型构建，采用独立验证集进行验证。结果显示，模型具有较高的一致性。", "ds_acq_start_time": "2023-08-01 00:00:00", "ds_acq_end_time": "2024-10-31 00:00:00", "ds_acq_place": "大兴安岭西坡额尔古纳地区根河流域", "ds_acq_lon_east": 122.70277777777778, "ds_acq_lat_south": 49.92916666666667, "ds_acq_lon_west": 119.28333333333333, "ds_acq_lat_north": 51.282777777777774, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "login-access", "ds_total_size": 268164761, "ds_files_count": 3, "ds_format": "*.tif", "ds_space_res": "", "ds_time_res": "年", "ds_coordinate": "WGS84", "ds_projection": "WGS_1984_Albers", "ds_thumbnail": "c7a30b83-8983-4dea-8bf8-8c50f8562163.jpg", "ds_thumb_from": 2, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "", "ds_from_station": null, "organization_id": "221ebf56-1b0b-4574-972b-1fb6d3cf1be7", "ds_serv_man": "敏玉芳", "ds_serv_phone": "0931-4967596", "ds_serv_mail": "ncdc@lzb.ac.cn", "doi_value": "", "subject_codes": [ "170.45" ], "quality_level": 3, "publish_time": "2026-04-02 10:35:32", "last_updated": "2026-05-12 11:14:12", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.NCDC.NIEER.DB7255.2026", "i18n": { "en": { "title": "30m root zone soil moisture distribution map of the Genhe River Basin, Erguna area, western slope of the Greater Khingan Mountains (2023-2024)", "ds_format": "", "ds_source": "
Raw data: The sample points are based on soil moisture measurement data obtained through mechanical/manual drilling and exploration pits;\r\n
The environmental factor data comes from spatial datasets such as climate, soil, terrain, vegetation types, etc.", "ds_quality": "
This data is modeled using machine learning methods and validated using an independent validation set. The results show that the model has high consistency.", "ds_ref_way": "", "ds_abstract": "
This dataset is the distribution data of soil moisture in the root zone of the Genhe River Basin in the Erguna area on the western slope of the Greater Khingan Range, combined with soil moisture measurement data obtained through mechanical/manual drilling and exploration pits; The environmental factor data comes from spatial datasets such as climate, soil, terrain, vegetation types, etc., and the model is constructed using machine learning methods (Extra Trees). The data format is GeoTIFF, with a spatial resolution of approximately 30m and a projection of WGS1984_ Albers.", "ds_time_res": "", "ds_acq_place": "Genhe River Basin in the Erguna area on the western slope of the Greater Khingan Range", "ds_space_res": "", "ds_projection": "", "ds_process_way": "
Use Python and ArcGIS tools to process environmental factor data, and use the Extra Trees model for 10 layer soil moisture spatial prediction.", "ds_ref_instruction": "" } }, "submit_center_id": "ncdc", "data_level": 0, "recommendation_value": 0, "license_type": "https://creativecommons.org/licenses/by/4.0/", "doi_reg_from": "reg_local", "cstr_reg_from": "reg_local", "doi_not_reg_reason": null, "cstr_not_reg_reason": null, "is_paper_in_submitting": false, "ds_topic_tags": [ "多年冻土", "大兴安岭", "根河流域", "土壤水分" ], "ds_subject_tags": [ "地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "大兴安岭西坡额尔古纳地区根河流域" ], "ds_time_tags": [ 2023, 2024 ], "ds_contributors": [ { "true_name": "胡国杰", "email": "huguojie123@lzb.ac.cn", "work_for": "中国科学院西北生态环境资源研究院", "country": "中国" }, { "true_name": "邹德富", "email": "defuzou@lzb.ac.cn", "work_for": "中国科学院西北生态环境资源研究院", "country": "中国" }, { "true_name": "刘广岳", "email": "liuguangyue@lzb.ac.cn", "work_for": "中国科学院西北生态环境资源研究院", "country": "中国" }, { "true_name": "肖瑶", "email": "xiaoyao@lzb.ac.cn", "work_for": "中国科学院西北生态环境资源研究院", "country": "中国" }, { "true_name": "杜二计", "email": "duerji@lzb.ac.cn", "work_for": "中国科学院西北生态环境资源研究院", "country": "中国" }, { "true_name": "赵拥华", "email": "zhaoyonghua@lzb.ac.cn", "work_for": "中国科学院西北生态环境资源研究院", "country": "中国" } ], "ds_meta_authors": [ { "true_name": "肖瑶", "email": "xiaoyao@lzb.ac.cn", "work_for": "中国科学院西北生态环境资源研究院", "country": "中国" } ], "ds_managers": [ { "true_name": "肖瑶", "email": "xiaoyao@lzb.ac.cn", "work_for": "中国科学院西北生态环境资源研究院", "country": "中国" } ], "category": "冻土" }