{ "created": "2022-12-03 14:57:10", "updated": "2026-06-23 15:32:23", "id": "954ea3dd-7002-4500-ba7a-9c43e2f12c43", "version": 9, "ds_topic": null, "title_cn": "尼泊尔冰湖编目数据集（2020年）", "title_en": "Glacial lake inventory of Nepal (2020)", "ds_abstract": "

  本数据集基于冰川编目数据和85景Gaofen-1/6 PMS影像、21景Sentinel 2A/2B MSI影像和16景Landsat OLI影像，利用人工目视解译方法提取了2020年尼泊尔境内的冰湖边界。结果显示，尼泊尔共有2420个冰湖，面积区间为0.00015-4.79760km2，总面积为87.57±5.28km2。本冰湖编目数据集为尼泊尔地区水资源评价、冰湖溃决洪水评价、冰川水文研究提供了基础数据。\n

  1. 数据集命名\n

  Nepal_glacial_lake_2020.shp\n

  2. 属性信息 \n

  GLAKE_ID: 冰湖的编码\n

  GL_Image: 影像数据源\n

  GL_Elev: 冰湖平均海拔 (m)\n

  GL_Area: 冰湖面积 (km2)\n

  GL_Peri: 冰湖周长 (m)\n

  GL_Long:冰湖中心点经度 (°)\n

  GL_Lati: 冰湖中心点纬度 (°)", "ds_source": "

  1.Landsat陆地卫星影像数据\n

  美国地质调查局网站(https://www.usgs.gov/)。\n

  2.冰川编目数据\n

  RGI6.0 (https://www.glims.org/RGI/rgi60_dl.html)。\n

  3.SRTM\n

  空间分辨率为30 m的SRTM DEM V3数据(https://earthexplorer.usgs.gov/)。", "ds_process_way": "

  1.遥感数据预处理：\n

  卫星图像的假彩色合成、几何校正\n

  2.初步提取湖泊范围:\n

  使用已有冰湖数据集作为参考确定冰湖大致范围\n

  参考文献：Wang X., Guo X., Yang C., Liu Q., Wei J., Zhang Y., Liu S., Zhang Y., Jiang Z., and Tang Z. Glacial lake inventory of High Mountain Asia (1990–2018) derived from Landsat images. Earth Syst. Sci. Data Discuss., doi：https://doi.org/10.5194/essd-2019-212\n

  3.人工矢量化和输入属性数据\n

  人工目视检查和修订尼泊尔境内冰湖边界矢量数据，并录入影像数据源、几何信息（如面积、周长）和位置信息（如质心坐标）。\n

  4.交互检查和精度控制\n

  (1)通过数据集交互识别冰湖；\n

  (2)冰湖边界矢量化结果由另一个矢量化结果交互式地检验；采用ArcGIS Earth影像作为误差检测的重要辅助参考数据源。", "ds_quality": "

  数据精度：\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。\n

  (2) 冰湖边界划分的平均精度在±0.5个像素以内。\n

  (3) 本数据集的绝对面积误差约为±5.28 km2，平均相对误差分别为±6.25%。", "ds_acq_start_time": "2018-11-17 00:00:00", "ds_acq_end_time": "2020-12-28 00:00:00", "ds_acq_place": "尼泊尔", "ds_acq_lon_east": 88.52222222222223, "ds_acq_lat_south": 27.420833333333334, "ds_acq_lon_west": 80.80888888888889, "ds_acq_lat_north": 30.42, "ds_acq_alt_low": 2328.0, "ds_acq_alt_high": 5875.0, "ds_share_type": "open-access", "ds_total_size": 1810639, "ds_files_count": 2, "ds_format": "shp", "ds_space_res": null, "ds_time_res": "年", "ds_coordinate": "WGS84", "ds_projection": "", "ds_thumbnail": "954ea3dd-7002-4500-ba7a-9c43e2f12c43.png", "ds_thumb_from": 2, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "", "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": "ncdc@lzb.ac.cn", "doi_value": "", "subject_codes": [ "170.4510" ], "quality_level": 3, "publish_time": "2022-11-03 20:33:07", "last_updated": "2023-06-13 11:43:58", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.ncdc.nieer.db2544.2022", "i18n": { "en": { "title": "Glacial lake inventory of Nepal (2020)", "ds_format": "shp", "ds_source": "

 1.Landsat Images \n

 Download from the websites of the United States Geological Survey (https://www.usgs.gov/).\n

 2.Glacier Inventory\n

 RGI 6.0 (https://www.glims.org/RGI/rgi60_dl.html).\n

 3.SRTM\n

 Shuttle Radar Topography Mission digital elevation model V3 with spatial resolution of 30 m (https://earthexplorer.usgs.gov/).", "ds_quality": "

 Accuracy of Data：\n

 (1) The percentage difference of the absolute area encircled by the manually delineated lake boundary and that derived by the GPS survey varied from 5.5–25.5 %.\n

 (2) The average accuracy of the delineation of glacial lake boundaries was within ±0.5 pixels . \n

 (3) The total absolute area error and average relative error of glacial lakes in Nepal in 2020 was approximately ±5.28 km2 and ±6.25 %, respectively.", "ds_ref_way": "", "ds_abstract": "

 Based on glacier inventory and 85 Gaofen-1/6 PMS images, 21 Sentinel 2A/2B MSI images and 16 Landsat OLI images, the boundary of glacial lakes in 2020 in Nepal were derived by using manual visual interpretation. The result shows that there were 2420 glacial lakes in Nepal, with an area range of 0.00015-4.79760 km2 and a total area of 87.57±5.28 km2. This dataset provides basic data for water resources evaluation, glacial lake outburst floods and glacier hydrology study in Nepal.\n

 1.Name of Data\n

 Nepal_glacial_lake_2020.shp\n

 2.Data description of attribute items \n

 GLAKE_ID: The coding of glacial Lake\n

 GL_Image: Information of source image\n

 GL_Elev: The average elevation of glacial lake (m)\n

 GL_Area: The area of glacial lake (km2)\n

 GL_Peri: The perimeter of glacial lake (m)\n

 GL_Long: The longitude of centroid of the glacial lakes (°)\n

 GL_Lati: The latitude of centroid of the glacial lakes (°)

", "ds_time_res": "年", "ds_acq_place": "Nepal", "ds_space_res": "", "ds_projection": "", "ds_process_way": "

 1. Pre-processing of Remote Sensing Data：\n

 False Colour Compositing Image and Geometric correction\n

 2. Extracting the preliminary lake extent：\n

 Determining the approximate extent of a glacial lake using an existing glacial lake dataset as a reference.\n

 Reference：Wang X., Guo X., Yang C., Liu Q., Wei J., Zhang Y., Liu S., Zhang Y., Jiang Z., and Tang Z. Glacial lake inventory of High Mountain Asia (1990–2018) derived from Landsat images. Earth Syst. Sci. Data Discuss., doi：https://doi.org/10.5194/essd-2019-212\n

 3. Manual Vectorization and Entering of Attribute Data\n

 Vectorisation of glacial lake boundaries for the Nepal region. After vectorization of a glacial lake, it was required that manual attribute items (e.g., data source and lake area) be input concurrently.\n

 4. Interactive Checking and Accuracy Control\n

 (1) Glacial lakes were discerned via dataset interaction;\n

 (2) Glacial lake boundary vectorization results were checked interactively by another vectorization results;The Arcgis Earth imagery was used as an important auxiliary reference data source for error examination.", "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, "ds_topic_tags": [ "冰湖编目", "尼泊尔", "冰湖面积" ], "ds_subject_tags": [ "自然地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "尼泊尔" ], "ds_time_tags": [ 2020 ], "ds_contributors": [ { "true_name": "姚晓军", "email": "xj_yao@nwnu.edu.cn", "work_for": "西北师范大学地理与环境科学学院", "country": "中国" }, { "true_name": "胡家瑜", "email": "2021212875@nwnu.edu.cn", "work_for": "西北师范大学地理与环境科学学院", "country": "中国" }, { "true_name": "段红玉", "email": "2020120154@nwnu.edu.cn", "work_for": "西北师范大学地理与环境科学学院", "country": "中国" }, { "true_name": "张圆", "email": "zhangyuan@nwnu.edu.cn", "work_for": "西北师范大学地理与环境科学学院", "country": "中国" }, { "true_name": "王玉", "email": "2020222781@nwnu.edu.cn", "work_for": "西北师范大学地理与环境科学学院", "country": "中国" }, { "true_name": "吴桐宇", "email": "2021212874@nwnu.edu.cn", "work_for": "西北师范大学地理与环境科学学院", "country": "中国" } ], "ds_meta_authors": [ { "true_name": "姚晓军", "email": "xj_yao@nwnu.edu.cn", "work_for": "西北师范大学地理与环境科学学院", "country": "中国" }, { "true_name": "胡家瑜", "email": "2021212875@nwnu.edu.cn", "work_for": "西北师范大学地理与环境科学学院", "country": "中国" }, { "true_name": "段红玉", "email": "2020120154@nwnu.edu.cn", "work_for": "西北师范大学地理与环境科学学院", "country": "中国" }, { "true_name": "张圆", "email": "zhangyuan@nwnu.edu.cn", "work_for": "西北师范大学地理与环境科学学院", "country": "中国" }, { "true_name": "王玉", "email": "2020222781@nwnu.edu.cn", "work_for": "西北师范大学地理与环境科学学院", "country": "中国" }, { "true_name": "吴桐宇", "email": "2021212874@nwnu.edu.cn", "work_for": "西北师范大学地理与环境科学学院", "country": "中国" } ], "ds_managers": [ { "true_name": "姚晓军", "email": "xj_yao@nwnu.edu.cn", "work_for": "西北师范大学地理与环境科学学院", "country": "中国" } ], "category": "基础地理" }