本数据集包含盖孜河谷的溜石坡野外调查GPS点矢量数据和基于调查点模拟得到的中巴公路两侧2公里范围内的溜石坡易发性空间分布栅格数据，其中调查点矢量数据记录了调查点GPS经纬度信息，是珍贵的地面真值数据；而精度可靠的溜石坡空间分布数据同样具有重要的研究意义和工程应用价值。
\n\n溜石坡调查点数据为矢量SHP格式，属性表中记录了经度和纬度信息。溜石坡易发性分布数据保存为栅格TIF格式，二者叠加显示最佳。 ArcGIS, QGIS, ENVI, ERDAS等常用的GIS与遥感软件可支持该数据的读取和操作。
", "ds_source": "土壤类型数据依据联合国粮农组织制作的FAO土壤分类体系。该数据可由寒区旱区科学数据中心免费获取，中国境内的数据源为第二次全国土地调查的1:100万土壤数据。
\n\n区域岩性地图来自汉堡大学的Hartmann等制作的全球岩性矢量数据，这份岩性数据在研究区范围内的岩性图由新疆地质矿产局采集自1992年，数据格式是shapefile文件，比例尺1:150万，在冰川区内无数据。
\n\n溜石坡调查数据是重要的地面真值数据（Ground Truth），中科院成都山地灾害研究所周公旦老师提供了2017年融雪期的地质灾害调查数据。
", "ds_process_way": "仪器自动观测 人工统计数据
", "ds_quality": "数据集通过严格的人工审核控制质量
", "ds_acq_start_time": "2017-01-01 00:00:00", "ds_acq_end_time": "2017-12-31 00:00:00", "ds_acq_place": "盖孜河谷中巴公路两侧", "ds_acq_lon_east": 75.5, "ds_acq_lat_south": 38.5, "ds_acq_lon_west": 75.0, "ds_acq_lat_north": 39.0, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "apply-access", "ds_total_size": 23458, "ds_files_count": 2, "ds_format": "TIF、SHP", "ds_space_res": "30.0m", "ds_time_res": "", "ds_coordinate": "WGS84", "ds_projection": "", "ds_thumbnail": "9cf11d7a-3b96-4ca7-a96a-57a5c03d6c86.jpg", "ds_thumb_from": 0, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "None", "ds_from_station": null, "organization_id": "52b7b79b-860c-49a5-9083-9a70cf8bed5a", "ds_serv_man": "敏玉芳", "ds_serv_phone": "0931-4967596", "ds_serv_mail": "myf@lzb.ac.cn", "doi_value": "", "subject_codes": [], "quality_level": 3, "publish_time": "2020-12-09 16:16:42", "last_updated": "2023-11-02 11:00:31", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.ncdc.nieer.2020.1399", "i18n": { "en": { "title": "Data set of susceptibility distribution of rock sliding slopes on both sides of China Pakistan highway in Gaizi River Valley (2017)", "ds_format": "", "ds_source": "Soil type data are based on FAO soil classification system developed by FAO. The data can be obtained free of charge by the scientific data center of cold and arid regions. The data source in China is 1:1 million soil data from the second national land survey.
\nThe regional lithologic map is from the global lithologic vector data produced by Hartmann of Hamburg University. The lithologic map of this lithologic data in the study area was collected by Xinjiang Bureau of Geology and mineral resources since 1992. The data format is ShapeFile file with a scale of 1:1.5 million, and there are numerous data in the glacier area.
\nThe survey data of liushipo is an important ground truth data. Professor Zhou GongDan from Chengdu Institute of mountain disasters, Chinese Academy of Sciences, provided the geological disaster survey data of the snowmelt period in 2017.
", "ds_quality": "The quality of data set is controlled by strict manual audit
", "ds_ref_way": "", "ds_abstract": "this dataset contains the GPS point vector data and the raster slope spatial distribution data of the 2 km of the Sino Pakistani highway based on the investigation point simulation. The data of the survey point vector record the GPS longitude and latitude information of the survey site, which is a valuable ground truth data. The research significance and engineering application value.
\nThe data of liushipo survey point is in vector SHP format, and longitude and latitude information are recorded in attribute table. The results show that the best format is TIF. ArcGIS, QGIS, envi, ERDAS and other commonly used GIS and remote sensing software can support the data reading and operation.
", "ds_time_res": "", "ds_acq_place": "Both sides of China Pakistan highway in Gaizi River Valley", "ds_space_res": "30.0m", "ds_projection": "", "ds_process_way": "Automatic observation of manual statistical data by instruments
", "ds_ref_instruction": "In order to protect the rights and interests of the platform's scientific and technological resources, expand the service of the platform center, and enhance the application potential of the scientific and technological resources, resource users are requested to clearly indicate the resource sources and resource authors in the research results (including published papers, works, data products and unpublished research reports, data products and other results) produced by using the resources." } }, "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": [ "溜石坡", "中巴公路", "盖孜河谷", "易发性评价", "机器学习" ], "ds_subject_tags": [], "ds_class_tags": [], "ds_locus_tags": [ "中巴公路", "盖孜河谷", "溜石坡" ], "ds_time_tags": [ 2017 ], "ds_contributors": [ { "true_name": "韩立钦", "email": "hanliqin@lzb.ac.cn", "work_for": "河南师范大学", "country": "中国" }, { "true_name": "艾鸣浩", "email": "aimh@lzb.ac.cn", "work_for": "中科院西北研究院", "country": "中国" }, { "true_name": "田德宇", "email": "tiandy@lzb.ac.cn", "work_for": "中国科学院西北生态环境研究院", "country": "中国" } ], "ds_meta_authors": [ { "true_name": "韩立钦", "email": "hanliqin@lzb.ac.cn", "work_for": "河南师范大学", "country": "中国" }, { "true_name": "艾鸣浩", "email": "aimh@lzb.ac.cn", "work_for": "中科院西北研究院", "country": "中国" }, { "true_name": "罗立辉", "email": "luolh@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": "田德宇", "email": "tiandy@lzb.ac.cn", "work_for": "中国科学院西北生态环境研究院", "country": "中国" } ], "ds_managers": [ { "true_name": "韩立钦", "email": "hanliqin@lzb.ac.cn", "work_for": "河南师范大学", "country": "中国" }, { "true_name": "张耀南", "email": "yaonan@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": "灾害" }