2024-2025年祁连山黑河国家级重点预防区土壤侵蚀数据集包括内蒙古自治区额济纳旗，甘肃省永登县、天祝县、甘州区、肃南县、民乐县、临泽县、高台县、金塔县，青海省门源回族自治县、祁连县2024-2025年的土壤侵蚀统计表和土壤侵蚀图，基于空间分辨率为2米的卫星遥感影像加工获得，保存格式为xlsx，数据命名采用“所属重点治理区＋年份＋土壤侵蚀统计表”的形式，如“××重点治理区××年土壤侵蚀统计表”。土壤侵蚀强度划分为微度侵蚀、轻度侵蚀、中度侵蚀、强烈侵蚀、极强烈侵蚀和剧烈侵蚀6级。
", "ds_source": "基于资源系列、高分系列等分辨率为2m的卫星遥感影像，从水利部信息中心获取。
", "ds_process_way": "水土流失动态监测融合遥感监测、野外调查、模型计算和统计分析等多种技术手段开展水土流失的因子提取、模数计算和动态分析评价。\n在水力侵蚀地区，采用中国土壤流失方程CSLE计算土壤侵蚀模数。获取 10 m 空间分辨率的土壤侵蚀模数计算值栅格图层。在风力侵蚀地区，根据土地利用类型，可分别选用与之对应的耕地、草（灌）地、沙地（漠）风力侵蚀模型，计算土壤侵蚀模数。
", "ds_quality": "严格遵循国家技术标准、规程和规范，保证数据采集、信息提取和数据整(汇)编的质量。水利部水土保持监测中心针对影像处理、信息提取、数据分析、成果验收、成果整( 汇) 编、数据库管理等环节，组织开展数据的抽查检验、分析评估和审核等。
", "ds_acq_start_time": "2024-01-01 00:00:00", "ds_acq_end_time": "2025-12-31 00:00:00", "ds_acq_place": "祁连山黑河国家级重点预防区", "ds_acq_lon_east": null, "ds_acq_lat_south": null, "ds_acq_lon_west": null, "ds_acq_lat_north": null, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "apply-access", "ds_total_size": 1674077, "ds_files_count": 2, "ds_format": "xlsx", "ds_space_res": "", "ds_time_res": "", "ds_coordinate": "无", "ds_projection": "", "ds_thumbnail": "1c40f5a3-2b4a-46e7-8e5b-7b6be101278c.png", "ds_thumb_from": 0, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "", "ds_from_station": null, "organization_id": "18fc6591-ef53-4202-bc01-c3961ad212d2", "ds_serv_man": "敏玉芳", "ds_serv_phone": "0931-4967596", "ds_serv_mail": "ncdc@lzb.ac.cn", "doi_value": "", "subject_codes": [], "quality_level": 3, "publish_time": "2025-08-27 11:22:00", "last_updated": "2026-10-12 10:23:28", "protected": false, "protected_to": "2027-04-10 00:00:00", "lang": "zh", "cstr": "11738.11.NCDC.HHSTBC.DB6953.2025", "i18n": { "en": { "title": "2024-2025 Dataset of Soil Erosion in the Qilian Mountains Heihe National Key Prevention Area", "ds_format": "", "ds_source": "Based on satellite remote sensing images with a resolution of 2m, such as resource series and high-score series, they were obtained from the Information Center of the Ministry of Water Resources.
", "ds_quality": "Strictly abide by national technical standards, procedures and specifications to ensure the quality of data collection, information extraction and data compilation (compilation). The Soil and Water Conservation Monitoring Center of the Ministry of Water Resources organizes and carries out random inspections, analysis, evaluation and review of data for image processing, information extraction, data analysis, result acceptance, result compilation, database management and other aspects.
", "ds_ref_way": "", "ds_abstract": "The 2024-2025 soil erosion data set in the Heihe National Key Prevention Area in the Qilian Mountains includes Ejina Banner, Inner Mongolia Autonomous Region, Yongdeng County, Tianzhu County, Ganzhou District, Sunan County, Minle County, Linze County, Gaotai County, Jinta County, Gansu Province Province, soil erosion statistics and soil erosion maps from 2024 to 2025 of Menyuan Hui Autonomous County and Qilian County, Qinghai Province, processed based on satellite remote sensing images with a spatial resolution of 2 meters, and stored in xlsx. Data naming adopts the form of \"key governance area + year + soil erosion statistical table\", such as \"×× key governance area ××× annual soil erosion statistical table\". Soil erosion intensity is divided into 6 levels: slight erosion, mild erosion, moderate erosion, strong erosion, extremely strong erosion and severe erosion.
", "ds_time_res": "", "ds_acq_place": "National key prevention area of Heihe River in Qilian Mountain", "ds_space_res": "", "ds_projection": "", "ds_process_way": "Dynamic monitoring of soil and water loss integrates multiple technical means such as remote sensing monitoring, field surveys, model calculations and statistical analysis to carry out factor extraction, modulus calculation and dynamic analysis and evaluation of soil and water loss.\r\nIn water erosion areas, the soil erosion modulus is calculated using the China soil loss equation CSLE. Obtain a grid layer of calculated soil erosion modulus values with a spatial resolution of 10 m. In wind erosion areas, according to the land use type, the corresponding wind erosion models of cultivated land, grass (irrigation) land, and sand (desert) can be selected to calculate the soil erosion modulus.
", "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, "belong_to_nieer": false, "allow_update_data": false, "created_from": "fair", "ds_topic_tags": [ "土壤侵蚀统计表，土壤侵蚀面积，各级土壤侵蚀强度面积及比例，风力侵蚀" ], "ds_subject_tags": [], "ds_class_tags": [], "ds_locus_tags": [ "祁连山黑河国家级重点预防区，内蒙古自治区，甘肃省，青海省" ], "ds_time_tags": [ 2024, 2025 ], "ds_contributors": [ { "true_name": "黄河流域水土保持生态环境监测中心", "email": "szyjdata@163.com", "work_for": "黄河流域水土保持生态环境监测中心", "country": "中国" } ], "ds_meta_authors": [ { "true_name": "黄河流域水土保持生态环境监测中心", "email": "szyjdata@163.com", "work_for": "黄河流域水土保持生态环境监测中心", "country": "中国" } ], "ds_managers": [ { "true_name": "黄河流域水土保持生态环境监测中心", "email": "szyjdata@163.com", "work_for": "黄河流域水土保持生态环境监测中心", "country": "中国" } ], "category": "水土保持" }