{ "created": "2021-11-20 17:51:03", "updated": "2026-04-18 10:19:03", "id": "706ce17f-1684-4e8d-bf5e-7d517e03693c", "version": 3, "ds_topic": null, "title_cn": "高亚洲冰湖编目数据集", "title_en": "Glacial lake inventory of high-mountain Asia", "ds_abstract": "

本数据集基于冰川编目数据和668景LandsatTM/ETM+/OLI影像，结合ArcGIS和ENVI软件、NDWI和GoogleEarth影像，通过人工目视解译的方法提提取距离冰川边界向外10km缓冲区内的冰湖边界。

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在1990和2018年两期冰湖数据集中，高亚洲地区共有27,205和30,121个冰湖，面积区间为0.0054-6.46km2，总面积分别为1806.47±2.11和2080.12±2.28km2。本次冰湖编目数据集为高亚洲地区水资源评价、冰湖溃决洪水评价、冰川水文研究提供了基础数据。

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数据集命名High_Asia_glacial_lake_1990.Shp High_Asia_glacial_lake_2018.shp

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属性信息：GLAKE_ID:冰湖的编码GL_Image:影像数据源GL_Type:冰湖类型GL_SubR:高亚洲冰湖分区GL_Time:数据源获取日期GL_Elev:冰湖平均海拔(m)GL_Area:冰湖面积(m2)GL_Peri:冰湖周长(m)GL_A_Error:冰湖面积误(m2)GL_Long:冰湖中心点经度(°)GL_Lati:冰湖中心点纬度(°)

", "ds_source": "
  • Landsat陆地卫星影像数据\n 从美国地质调查局网站(https://www.usgs.gov/)和地理空间数据云(http://www.gscloud.cn/)下载。
    • \n\n
  • 冰川编目数据
    \n 中国第二次冰川编目数据(http://westdc.westgis.ac.cn)和RGI 6.0 (https://www.glims.org/RGI/rgi60_dl.html)。
    • \n\n
  • SRTM\n 空间分辨率为1″的SRTM DEM数据，下载地址:http://imagico.de/map/demsearch.php。
    • \n

    。

    ", "ds_process_way": "
  • 遥感数据预处理：陆地卫星图像的假彩色合成
    • \n\n
  • 初步提取湖泊范围:使用基于ArcMap中近红外波段(NIR)和绿色波段(green)的NDWI自动提取整个HMA区域的每张图像。\n 公式: NDWI=(B_GREEN-B_NIR)/(B_GREEN+B_NIR ) \n参考文献：Mcfeeters, S. K.: The use of the Normalized Difference Water Index (NDWI) in the delineation of open water features, Int. J. Remote Sens., 17(7), 1425-1432, doi: 10.1080/01431169608948714, 1996.
    • \n\n
  • 人工矢量化和输入属性数据\n 分成7个部分对16个高亚洲子区域进行冰湖边界矢量化。对冰湖进行矢量化后，需要同时手动输入属性项(如数据源、湖泊类型)。
    • \n\n
  • 交互检查和精度控制\n (1)通过人机交互识别冰湖;\n (2)冰湖边界矢量化结果由另一个矢量化操作交互式地检验;\n (3)交互检查冰湖分类、新增/消失湖泊、分裂/合并湖泊等属性项。\n 采用Google Earth影像作为误差检测的重要辅助参考数据源。
    • ", "ds_quality": "
      \n
    1. 人工目视解译划定的湖泊边界与GPS实测边界的绝对面积的百分比之差在5.5 - 25.5%之间。
      2. \n
    2. 冰湖边界划分的平均精度在±0.5像素(±15 m)以内。
      3. \n
    3. 误差计算的结果表明,在1990和2018年，两期冰湖编目数据集的绝对面积误差分别约为±2.11和±2.28 km2,平均相对误差分别为±13.5和±13.2%。
      4. \n
    ", "ds_acq_start_time": "1986-07-01 00:00:00", "ds_acq_end_time": "2019-11-30 00:00:00", "ds_acq_place": "高亚洲地区距冰川边界向外10 km缓冲区内", "ds_acq_lon_east": 104.0, "ds_acq_lat_south": 26.0, "ds_acq_lon_west": 67.0, "ds_acq_lat_north": 54.0, "ds_acq_alt_low": 6247.0, "ds_acq_alt_high": 1357.0, "ds_share_type": "open-access", "ds_total_size": 29095025, "ds_files_count": 2, "ds_format": "shp", "ds_space_res": "", "ds_time_res": "", "ds_coordinate": "WGS84", "ds_projection": "", "ds_thumbnail": "f822722b-7979-4ec6-b267-5bbd95807111.png", "ds_thumb_from": 0, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "", "ds_from_station": null, "organization_id": "52b7b79b-860c-49a5-9083-9a70cf8bed5a", "ds_serv_man": "李红星", "ds_serv_phone": "0931-4967592", "ds_serv_mail": "ncdc@lzb.ac.cn", "doi_value": "", "subject_codes": [ "170.4510" ], "quality_level": 3, "publish_time": "2021-11-20 18:08:02", "last_updated": "2026-01-08 17:40:02", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.ncdc.nieer.2020.1507", "i18n": { "en": { "title": "Glacial lake inventory of high-mountain Asia", "ds_format": "", "ds_source": "
  • Landsat land satellite image data\n
  • Download from the U.S. Geological Survey website (https://www.usgs.gov/) and Geospatial Data Cloud (http://www.gscloud.cn/).\nGlacier catalogue data\n\n
  • China's second glacier catalogue data (http://westdc.westgis.ac.cn) and RGI 6.0 (https://www.glims.org/RGI/rgi60_dl.html).\n
  • SRTM\n
  • SRTM DEM data with a spatial resolution of 1″, download address: http://imagico.de/map/demsearch.php.", "ds_quality": "
      \n
    1. The difference between the percentage of the absolute area of the lake boundary delineated by manual visual interpretation and the GPS measured boundary is between 5.5-25.5%.
      2. \n
    2. The average accuracy of boundary division of ice lakes is within ±0.5 pixels (±15 m).
      3. \n
    3. The results of error calculation show that in 1990 and 2018, the absolute area errors of the two glacial lake inventory data sets were about ±2.11 and ±2.28 km2, and the average relative errors were ±13.5 and ±13.2%, respectively.
      4. \n
    ", "ds_ref_way": "", "ds_abstract": "

    This dataset is based on glacier catalogue data and 668 landscape Landsat TM/ETM+/OLI images, combined with ArcGIS and ENVI software, NDWI and Google Earth images, and extracted by manual visual interpretation in a buffer zone 10 km away from the boundary of the glacier Icy lake boundary.

    \n

    In the 1990 and 2018 glacial lake data sets, there are 27,205 and 30,121 glacial lakes in the High Asia region, with an area range of 0.0054-6.46 km2, with a total area of 1806.47±2.11 and 2080.12±2.28 km2, respectively. This glacial lake cataloging data set provides basic data for water resource evaluation in high Asia, evaluation of glacial lake outburst flood, and glacier hydrology research.

    \n

    Data set named High_Asia_glacial_lake_1990.Shp High_Asia_glacial_lake_2018.shp

    \n

    Attribute information: GLAKE_ID: The code of the ice lake\nGL_Image: Image data source\nGL_Type: Ice lake type\nGL_SubR: High Asia Glacial Lake Division\nGL_Time: Data source acquisition date\nGL_Elev: average elevation of ice lake (m)\nGL_Area: ice lake area (m2)\nGL_Peri: perimeter of ice lake (m)\nGL_A_Error: The area of the ice lake is wrong (m2)\nGL_Long: Longitude of the center point of the ice lake (°)\nGL_Lati: Latitude of the center point of the ice lake (°)

    ", "ds_time_res": "", "ds_acq_place": "The high Asia area is in a buffer zone 10 km outward from the boundary of the glacier", "ds_space_res": "", "ds_projection": "", "ds_process_way": "
  • Remote sensing data preprocessing: false color synthesis of land satellite images
    • \n\n
  • Preliminary extraction of lake range: Use NDWI based on ArcMap's near-infrared band (NIR) and green band (green) to automatically extract each image of the entire HMA area.\n Formula: NDWI=(B_GREEN-B_NIR)/(B_GREEN+B_NIR)\nReferences: Mcpheeters, SK: The use of the Normalized Difference Water Index (NDWI) in the delineation of open water features, Int. J. Remote Sens., 17(7), 1425-1432, doi: 10.1080/01431169608948714, 1996 .
    • \n\n
  • Manual vectorization and input of attribute data\n Divide into 7 parts to vectorize the glacial lake boundary in 16 high-Asia sub-regions. After vectorizing the ice lake, you need to manually enter the attribute items (such as data source, lake type) at the same time.
    • \n\n
  • Interactive inspection and precision control\n (1) Identify ice lakes through human-computer interaction;\n (2) The vectorization result of the ice lake boundary is interactively checked by another vectorization operation;\n (3) Interactively check attribute items such as ice lake classification, new/disappeared lakes, split/merged lakes, etc.\n Google Earth image is used as an important auxiliary reference data source for error detection.
    • ", "ds_ref_instruction": "" } }, "submit_center_id": "ncdc", "data_level": 0, "license_type": "CC BY 4.0", "ds_topic_tags": [ "高亚洲", "冰湖编目", "人工目视解译" ], "ds_subject_tags": [ "自然地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "高亚洲地区" ], "ds_time_tags": [ 1990, 2018 ], "ds_contributors": [ { "true_name": "王欣", "email": "wangx@hnust.edu.cn", "work_for": "1.湖南科技大学地球科学与空间信息工程学院 2.中国科学院西北生态环境资源研究院", "country": "中国" }, { "true_name": "郭小宇", "email": "15873240528@163.com", "work_for": "湖南科技大学资源环境与安全工程学院", "country": "中国" }, { "true_name": "杨成德", "email": "yangchengde@lzb.ac.cn", "work_for": "中国科学院寒区旱区环境与工程研究所", "country": "中国" }, { "true_name": "刘琼欢", "email": "liuqh.16b@igsnrr.ac.cn", "work_for": "中国科学院地理科学与自然资源研究所", "country": "中国" }, { "true_name": "魏俊峰", "email": "weijunfeng@lzb.ac.cn", "work_for": "湖南科技大学资源环境与安全工程学院", "country": "中国" }, { "true_name": "张勇", "email": "yongzhang@hnust.edu.cn", "work_for": "湖南科技大学地球科学与空间信息工程学院", "country": "中国" }, { "true_name": "刘时银", "email": "liusy@lzb.ac.cn", "work_for": "云南大学国际河流与生态安全研究院", "country": "中国" }, { "true_name": "张艳林", "email": "zhangyan102@163.com", "work_for": "湖南科技大学地球科学与空间信息工程学院", "country": "中国" }, { "true_name": "蒋宗立", "email": "jiangzongli@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": "唐志光", "email": "tangzhg11@lzb.ac.cn", "work_for": "湖南科技大学资源环境与安全工程学院", "country": "中国" } ], "ds_meta_authors": [ { "true_name": "王欣", "email": "wangx@hnust.edu.cn", "work_for": "1.湖南科技大学地球科学与空间信息工程学院 2.中国科学院西北生态环境资源研究院", "country": "中国" }, { "true_name": "郭小宇", "email": "15873240528@163.com", "work_for": "湖南科技大学资源环境与安全工程学院", "country": "中国" }, { "true_name": "杨成德", "email": "yangchengde@lzb.ac.cn", "work_for": "中国科学院寒区旱区环境与工程研究所", "country": "中国" }, { "true_name": "刘琼欢", "email": "liuqh.16b@igsnrr.ac.cn", "work_for": "中国科学院地理科学与自然资源研究所", "country": "中国" }, { "true_name": "魏俊峰", "email": "weijunfeng@lzb.ac.cn", "work_for": "湖南科技大学资源环境与安全工程学院", "country": "中国" }, { "true_name": "张勇", "email": "yongzhang@hnust.edu.cn", "work_for": "湖南科技大学地球科学与空间信息工程学院", "country": "中国" }, { "true_name": "刘时银", "email": "liusy@lzb.ac.cn", "work_for": "云南大学国际河流与生态安全研究院", "country": "中国" }, { "true_name": "张艳林", "email": "zhangyan102@163.com", "work_for": "湖南科技大学地球科学与空间信息工程学院", "country": "中国" }, { "true_name": "蒋宗立", "email": "jiangzongli@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": "唐志光", "email": "tangzhg11@lzb.ac.cn", "work_for": "湖南科技大学资源环境与安全工程学院", "country": "中国" } ], "ds_managers": [ { "true_name": "王欣", "email": "wangx@hnust.edu.cn", "work_for": "1.湖南科技大学地球科学与空间信息工程学院 2.中国科学院西北生态环境资源研究院", "country": "中国" } ], "category": "冰川" }