验证数据主要包括三方面，首先是对土地利用覆被变化中的随机森林地物分类图进行验证，获取数据是2019年、2020年两年时间在研究区内实地考察GPS定点结合Google earth选取样点的方法，进行训练模型以及验证土地利用分类精度。再凭借实地采样数据验证土壤水分反演结果，最后对SEBAL模型反演的地表净辐射、地表温度进行验证分析，由于实地采样条件无法直接获取到能量的实测数据，只得到局部地区的地表温度数据验证集，地表温度验证数据。除此之外，验证数据仍需要结合中国气象网的地表净辐射数据对其验证，主要采用中国辐射日值数据集的2016年~2020年5年的地表净辐射数据，验证数据均与遥感数据过境时间近同步。", "ds_source": "
通过环刀取土样，回到实验室实验测定。", "ds_process_way": "
实验室测定：采用称重法、pH计、电导率仪、滴定法分别测出含水率、pH值、电导率和有机质，使用仪器的输出结果精度为0.01。", "ds_quality": "
数据质量良好。", "ds_acq_start_time": "2020-06-01 00:00:00", "ds_acq_end_time": "2020-06-26 00:00:00", "ds_acq_place": "陕西省榆林市,山西省朔州市", "ds_acq_lon_east": 111.85, "ds_acq_lat_south": 39.06666666666667, "ds_acq_lon_west": 113.55, "ds_acq_lat_north": 40.25, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "login-access", "ds_total_size": 2606908, "ds_files_count": 2, "ds_format": "excel", "ds_space_res": null, "ds_time_res": "年", "ds_coordinate": "无", "ds_projection": "", "ds_thumbnail": "c09b2660-2ba8-4bfc-8ae8-7a13d4e54714.jpg", "ds_thumb_from": 0, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "使用申明：“山西省朔州市平朔、陕西省榆林市榆林矿区土壤理化性质数据（2020年6月）”来源于国家重点研发计划《采煤驱动下水文演变机理与地质环境生态效应》（项目编号：2018YFC0406401-3）。", "ds_from_station": null, "organization_id": "4f9aad20-0a6f-4efd-9b8b-70cd10164ea3", "ds_serv_man": "敏玉芳", "ds_serv_phone": "0931-4967596", "ds_serv_mail": "ncdc@lzb.ac.cn", "doi_value": "10.12072/ncdc.UTCMW.db2140.2022", "subject_codes": [ "170.50" ], "quality_level": 3, "publish_time": "2022-05-30 17:39:29", "last_updated": "2025-06-30 16:27:59", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.ncdc.UTCMW.db2140.2022", "i18n": { "en": { "title": "Soil Physical and Chemical Properties Data of Pingshuo Mining Area in Shuozhou City, Shanxi Province and Yulin Mining Area in Yulin City, Shaanxi Province (June 2020)", "ds_format": "Excel", "ds_source": "
Take soil samples with a ring knife and return to the laboratory for experimental testing.", "ds_quality": "
The data quality is good.", "ds_ref_way": "", "ds_abstract": "
The validation data mainly includes three aspects. Firstly, the random forest land cover classification map in land use and cover change is validated. The data obtained was obtained through field investigations of GPS fixed-point and Google Earth sampling methods in the study area in 2019 and 2020, to train the model and verify the accuracy of land use classification. Further validate the soil moisture inversion results with on-site sampling data, and finally verify and analyze the surface net radiation and surface temperature inverted by the SEBAL model. Due to the inability to directly obtain measured energy data from on-site sampling conditions, only a validation set of surface temperature data in local areas and surface temperature validation data are obtained. In addition, the validation data still needs to be combined with the surface net radiation data from China Meteorological Network, mainly using the surface net radiation data from 2016 to 2020 in the China Radiation Daily Value Dataset. The validation data is almost synchronized with the transit time of remote sensing data.
", "ds_time_res": "年", "ds_acq_place": "Yulin City, Shaanxi Province, Shuozhou City, Shanxi Province", "ds_space_res": "", "ds_projection": "", "ds_process_way": "Laboratory measurement: The moisture content, pH value, conductivity, and organic matter were measured using weighing method, pH meter, conductivity meter, and titration method, respectively. The output accuracy of the instrument was 0.01.", "ds_ref_instruction": "\r\nUsage Statement: \"Soil Physical and Chemical Properties Data of Pingshuo Mining Area in Shuozhou City, Shanxi Province and Yulin Mining Area in Yulin City, Shaanxi Province (June 2020)\" is sourced from the National Key Research and Development Program \"Hydrological Evolution Mechanism and Geological Environmental Ecological Effects Driven by Coal Mining\" (Project Number: 2018YFC0406401-3)." } }, "submit_center_id": "ncdc", "data_level": 0, "license_type": "CC 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": [ "土壤pH", "土壤电导率", "土壤有机质", "土壤含水率" ], "ds_subject_tags": [ "地质学" ], "ds_class_tags": [], "ds_locus_tags": [ "陕西省榆林市", "山西省朔州市" ], "ds_time_tags": [ 2020 ], "ds_contributors": [ { "true_name": "张圣微", "email": "zsw@imau.edu.cn", "work_for": "内蒙古农业大学水利与土木建筑工程学院", "country": "中国" } ], "ds_meta_authors": [ { "true_name": "张圣微", "email": "zsw@imau.edu.cn", "work_for": "内蒙古农业大学水利与土木建筑工程学院", "country": "中国" } ], "ds_managers": [ { "true_name": "敏玉芳", "email": "myf@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": "其他" }