• 登录
  • 注册
  • 首页
  • 数据资源
  • 专题数据
  • 数据汇交
  • 服务案例
  • 关于我们
  • 首页
  • 数据资源
Glacial lake inventory of High Mountain Asia
  • 发布时间:2019/11/02 12:48
  • 点击量:4592
  • 下载量:1285
中文名称
Glacial lake inventory of High Mountain Asia
英文名称
Glacial lake inventory of High Mountain Asia
数据共享方式
填写信息后直接下载
数据分类
冰川
数据集摘要

The data set integrated glacier inventory data and 668 Landsat TM/ETM+/OLI images, and adopted manual visual interpretation to extract glacial lake boundaries within a 10-km buffer from glacier terminals using ArcGIS and ENVI software, normalized difference water index maps, and Google Earth images. It was established that 27,205 and 30,121 glacial lakes in HMA, with sizes of 0.0054–6.46 km2, covered a combined area of 1806.47 ± 2.11and 2080.12 ± 2.28 km2 in 1990 and 2018, respectively.The current glacial lake inventory provided fundamental data for water resource evaluation, assessment of glacial lake outburst floods and gacier hydrology research in the mountain cryosphere region.

  1. Name of Data High_Asia_glacial_lake_1990.Shp High_Asia_glacial_lake_2018.shp
  2. Data description of attribute items GLAKE_ID: The coding of glacial Lake GL_Image: Information of source image GL_Type: The type of glacial Lake GL_SubR: The Sbu-region of glacial Lake in the HMA GL_Time: The acquisition date of the original Landsat image GL_Elev: The average elevation of glacial lake (m) GL_Area: The area of glacial lake (m2) GL_Peri: The Perimeter of glacial lake (m) GL_A_Error: The error of glacial lake area (m2) GL_Long: The longitude of center point of the glacial lakes (°) GL_Lati: The latitude of center point of the glacial lakes (°)

基本信息
采集时间 1986/07/01  -  2019/11/30
采集地点 A region of 10-km buffer from glacier terminals in the HMA.
海拔 6247.0m - 1357.0m
数据量 64.7 MB
数据格式 shp
坐标系 WGS84
数据缩略图
数据源描述

  1. Landsat Images Download from the websites of the United States Geological Survey (https://www.usgs.gov/) and Geospatial Data Cloud (http://www.gscloud.cn/).
  2. Glacier Inventory Acquired from the Second Chinese Glacier Inventory (http://westdc.westgis.ac.cn) and RGI 5.0 (https://www.glims.org/RGI/rgi50_dl.html).
  3. SRTM Shuttle Radar Topography Mission digital elevation model with spatial resolution of 1″download from the website http://imagico.de/map/demsearch.php.

数据加工方法

  1. Pre-processing of Remote Sensing Data: False Colour Compositing of Landsat Image
  2. Extracting the preliminary lake extent: Automatically extracted from each image over the entire HMA area using the NDWI based on the near infrared band (NIR) and green band (GREEN) in ArcMap. formula: NDWI=(B_GREEN-B_NIR)/(B_GREEN+B_NIR ) Reference: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.
  3. Manual Vectorization and Entering of Attribute Data Seven groups were formed to conduct lake boundary vectorization of the 13 HMA sub-regions. After vectorization of a glacial lake, it was required that manual attribute items (e.g., data source and lake type) be input concurrently.
  4. Interactive Checking and Accuracy Control (1) Glacial lakes were discerned via human–computer interaction; (2) Glacial lake boundary vectorization results were checked interactively by another vectorization operative; (3) Attribute items such as glacial lake classification, new/disappeared lakes, and separated/coalesced lakes were checked interactively. The Google Earth imagery was used as an important auxiliary reference data source for error examination.

数据质量描述

Accuracy of Data: (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 %. (2) The average accuracy of the delineation of glacial lake boundaries was within ±0.5 pixels (±15 m). (3) The resulting calculated error indicated that the total absolute area error of HMA glacial lakes was approximately ±231.44 and ±259.68 km2 and the average relative error was ±13.8 and ±13.3 % in 1990 and 2018, respectively.

引用方式
为保障平台科技资源的权益、扩展平台中心的服务、提升科技资源的应用潜力,请资源使用者在使用资源所产生的研究成果中(包括公开发表的论文、论著、数据产品和未公开发表的研究报告、数据产品等成果),明确注明资源来源和资源作者。

中文发表的成果致谢中参考以下规范注明: 数据来源于甘肃省生态环境科学数据中心 (http://eco.gssdc.cn)。
英文发表的成果致谢中参考以下规范注明: The dataset is provided by National Cryosphere Desert Data Center. (http://eco.gssdc.cn).
许可协议
知识共享许可协议     本作品采用 知识共享署名 4.0 国际许可协议进行许可。

  • 相关数据
  • 数据文件列表
  • 服务记录
  • 应用成果
# 数据集标题
1 2003-2004年巴基斯坦冰川编目数据集
2 西南季风区气候与冰川演变对丽江-玉龙雪山地区资源和可持续发展的影响项目的汇交数据(2004.1-2006.12)
3 祁连山老虎沟12号冰川老桥2012年水文断面流量数据
4 2009年祁连山老虎沟12号冰川总控水位变化数据
5 印度北安查尔邦地区冰川编目数据
6 祁连山老虎沟12号冰川末端老桥水文断面2009年流量监测数据
7 2014年大雪山地区数字高程模型数据集
8 2014年慕士塔格地区数字高程模型数据集
9 2010年贡嘎山地区GPS控制点数据集
10 2013年纳木那尼峰地区GPS控制点联测数据集
无数据实体或需要离线申请。
暂无记录。
暂无记录。
提示
您未登录此网站, 请点击登录之后,再进行下载。
提示
您未登录此网站, 请点击登录之后,再进行收藏。
  • 主题:

    Glacial Lake Inventory High Mountain Asia

  • 时间:

    1990 2008 1990 2008

  • 地点:

    High Mountain Asia

东: 104.00
西:  67.00
南:  26.00
北:  54.00
数据服务信息
联系人:
李红星
服务电话:
0931-4967592
服务邮箱:
lihongxing@lzb.ac.cn
联系信息
数据贡献者:
王欣 , 郭小玉 , 杨承德 , 刘琼欢 , 魏俊峰 , 张勇 , 刘士银 , 张彦林 , 姜宗礼 , 唐志光
元数据作者:
王欣 , 郭小玉 , 杨承德 , 刘琼欢 , 魏俊峰 , 张勇 , 刘士银 , 张彦林 , 姜宗礼 , 唐志光
数据管理者:
王欣
©版权所有:甘肃省科学数据中心,  :  陇ICP备2021001824号-4.
技术支持:国家冰川冻土沙漠科学数据中心
联系电话:0931-4967592,   0931-4967596.  邮箱:sdc_gs@lzb.ac.cn
地址:兰州市城关区东岗西路320号.