甘肃黄河流域是一个发展问题和生态问题交织在一起的社会−经济−自然复合生态系统，其生态系统土壤保持服务是防止水土流失和推动高质量发展的重要保障。使用归一化植被指数、土地覆盖产品MCD12Q1、降水数据、数字高程模型数据和土壤数据库HWSD v1.1，运用修正的通用土壤流失方程RUSLE，计算得到了甘肃黄河流域的土壤保持服务数据集。该数据集，空间范围介于北纬33°6′29″～40°0′6″、东经97°23′38″～108°42′38″之间，时间跨度为2001−2015年，单位为t•hm-2•a-1，为制定措施以提升土壤保持服务提供了科学依据，也为评估生态安全和构建生态安全格局提供了重要的数据支撑。
", "ds_source": "归一化植被指数NDVI（来源于资源环境科学数据注册与出版系统http://www.resdc.cn/DOI, DOI: 10.12078/2018060601），土地覆盖产品MCD12Q1（来源于美国国家航空航天局网站，使用植被功能型分类方案的土地覆被数据）、降水数据（来源于国家青藏高原科学数据中心），数字高程模型DEM数据（来源于中国科学院资源环境科学与数据中心）和世界土壤数据库HWSD v1.1（来源于国家冰川冻土沙漠科学数据中心）。
", "ds_process_way": "采用RUSLE方程的土壤保持服务评估模型（Zhang L W, Fu B J, Lü Y H, et al, 2015. Balancing multiple ecosystem services in conservation priority setting [J]. Landscape Ecology, 30(3): 535–546. DOI: https://doi.org/10.1007/s10980-014-0106-z.）计算土壤保持服务。
", "ds_quality": "遥感图像成像过程中，因受云量、雨雪等天气条件、卫星运行状态等的影响，遥感数据（NDVI、MCD12Q1）的部分像元值存在过大或过小等异常值，导致计算的土壤保持服务为负值，统一处理为0。研究区共涵盖193,462个像元，2001−2015年间土壤保持服务为负值的像元个数，其最大值为11个（2015年），最小值为0个（2002年），年均值为4.20个pixel•a-1，不超过1/100,000。
", "ds_acq_start_time": "2001-01-01 00:00:00", "ds_acq_end_time": "2015-12-31 00:00:00", "ds_acq_place": "甘肃黄河流域", "ds_acq_lon_east": 108.71055555555556, "ds_acq_lat_south": 33.10805555555556, "ds_acq_lon_west": 97.3938888888889, "ds_acq_lat_north": 40.0, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "login-access", "ds_total_size": 133090658, "ds_files_count": 121, "ds_format": "tiff", "ds_space_res": "1000m", "ds_time_res": "年", "ds_coordinate": "WGS84", "ds_projection": "", "ds_thumbnail": "50437330-5188-44af-93a1-3a84d572a154.jpg", "ds_thumb_from": 0, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "用户在使用数据时请在正文中明确声明数据的来源，并在参考文献部分引用本元数据提供的引用方式。", "ds_from_station": null, "organization_id": "b412fac3-1f10-4eb6-9d10-c51bcea30d0c", "ds_serv_man": "李红星", "ds_serv_phone": "0931-4967592", "ds_serv_mail": "ncdc@lzb.ac.cn", "doi_value": "", "subject_codes": [ "170.45" ], "quality_level": 3, "publish_time": "2023-07-03 17:42:12", "last_updated": "2025-05-29 11:38:52", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.NCDC.YRIVER.DB4025.2023", "i18n": { "en": { "title": "Gansu Yellow River Basin 1km Soil Conservation Service Dataset (2001-2015)", "ds_format": "tiff", "ds_source": "The Normalized Difference Vegetation Index (NDVI) is sourced from the Resource and Environmental Science Data Registration and Publishing System (http://www.resdc.cn/DOI, DOI: 10.12078/2018060601). The Land Cover product MCD12Q1, which utilizes a vegetation functional type classification scheme for land cover data, is obtained from the NASA website. Precipitation data is sourced from the National Tibetan Plateau Scientific Data Center. Digital Elevation Model (DEM) data is acquired from the Resource and Environment Science and Data Center of the Chinese Academy of Sciences. The Harmonized World Soil Database (HWSD) v1.1 is obtained from the National Cryosphere Desert Data Center.\n
", "ds_quality": "During the remote sensing image imaging process, due to the influence of weather conditions such as cloud cover, rain, and snow, as well as satellite operating status, some pixel values in the remote sensing data (NDVI, MCD12Q1) exhibit abnormally large or small values. This results in negative values being calculated for soil conservation services, which are uniformly processed as 0. The study area covers a total of 193,462 pixels. From 2001 to 2015, the number of pixels with negative soil conservation services reached a maximum of 11 in 2015, a minimum of 0 in 2002, and an annual average of 4.20 pixels per year (pixel•a-1), which is less than 1/100,000.
", "ds_ref_way": "", "ds_abstract": "The Gansu Yellow River Basin represents a complex socio-economic-natural ecosystem where developmental and ecological issues intertwine. The soil conservation service of its ecosystem serves as a crucial safeguard for preventing soil erosion and promoting high-quality development. Utilizing the Normalized Difference Vegetation Index (NDVI), the Land Cover product MCD12Q1, precipitation data, Digital Elevation Model (DEM) data, and the Harmonized World Soil Database (HWSD) v1.1, the Revised Universal Soil Loss Equation (RUSLE) was employed to calculate and obtain the soil conservation service dataset for the Gansu Yellow River Basin. This dataset spans a spatial range between 33°6′29″ North latitude and 40°0′6″ North latitude, and 97°23′38″ East longitude and 108°42′38″ East longitude, with a temporal span from 2001 to 2015. The unit of measurement is t•hm-2•a-1. It provides a scientific basis for formulating measures to enhance soil conservation services and offers important data support for assessing ecological security and constructing ecological security patterns.
", "ds_time_res": "年", "ds_acq_place": "Gansu Yellow River Basin", "ds_space_res": "1000m", "ds_projection": "", "ds_process_way": "The soil conservation service was calculated using the RUSLE-based soil conservation service evaluation model (Zhang L W, Fu B J, Lü Y H, et al, 2015. Balancing multiple ecosystem services in conservation priority setting [J]. Landscape Ecology, 30(3): 535–546. DOI: https://doi.org/10.1007/s10980-014-0106-z.)
", "ds_ref_instruction": "When using data, please clearly state the source of the data in the main text and cite the citation provided by this metadata in the reference section." } }, "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": [ "归一化植被指数", "降水", "数字高程模型", "土壤数据库", "土壤流失方程RUSLE", "土壤保持服务" ], "ds_subject_tags": [ "地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "甘肃黄河流域" ], "ds_time_tags": [ 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015 ], "ds_contributors": [ { "true_name": "吴成永", "email": "giswuchengyong@163.com", "work_for": "天水师范学院", "country": "中国" } ], "ds_meta_authors": [ { "true_name": "吴成永", "email": "giswuchengyong@163.com", "work_for": "天水师范学院", "country": "中国" } ], "ds_managers": [ { "true_name": "吴成永", "email": "giswuchengyong@163.com", "work_for": "天水师范学院", "country": "中国" } ], "category": "生态" }