Cataloging data set of high Asian ice lakes - National Cryosphere Desert Data Center

English name

Cataloging data set of high Asian ice lakes

DOI

10.12072/casnw.064.2019.db

CSTR

CSTR:11738.11.ncdc.nieer.2020.1507

Share type

Online

Category

Glacier

Datasets description

                                            <p>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.

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.

Data set named High_Asia_glacial_lake_1990.Shp High_Asia_glacial_lake_2018.shp Attribute information: GLAKE_ID: The code of the ice lake GL_Image: Image data source GL_Type: Ice lake type GL_SubR: High Asia Glacial Lake Division GL_Time: Data source acquisition date GL_Elev: average elevation of ice lake (m) GL_Area: ice lake area (m2) GL_Peri: perimeter of ice lake (m) GL_A_Error: The area of the ice lake is wrong (m2) GL_Long: Longitude of the center point of the ice lake (°) GL_Lati: Latitude of the center point of the ice lake (°)

Base information

collect time	1986/07/01 - 2019/11/30
collect place	The high Asia area is in a buffer zone 10 km outward from the boundary of the glacier
altitude	6247.0m - 1357.0m
data size	33.6 MB
data format
Coordinate system	WGS84

Data source description

Landsat land satellite image data

Download from the U.S. Geological Survey website (https://www.usgs.gov/) and Geospatial Data Cloud (http://www.gscloud.cn/). Glacier catalogue data

China's second glacier catalogue data (http://westdc.westgis.ac.cn) and RGI 6.0 (https://www.glims.org/RGI/rgi60_dl.html).

SRTM

SRTM DEM data with a spatial resolution of 1″, download address: http://imagico.de/map/demsearch.php.

Data processing method

                                              <li>Remote sensing data preprocessing: false color synthesis of land satellite images</li>

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. Formula: NDWI=(B_GREEN-B_NIR)/(B_GREEN+B_NIR) References: 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 .

Manual vectorization and input of attribute data 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.

Interactive inspection and precision control (1) Identify ice lakes through human-computer interaction; (2) The vectorization result of the ice lake boundary is interactively checked by another vectorization operation; (3) Interactively check attribute items such as ice lake classification, new/disappeared lakes, split/merged lakes, etc. Google Earth image is used as an important auxiliary reference data source for error detection.

Data quality description

                                                      <ol>

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%.

The average accuracy of boundary division of ice lakes is within ±0.5 pixels (±15 m).

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.

Project information

#	number	name	type
1	41771075	Study on the retention and disaster effects of glacial lakes on glacial meltwater
2	B118B5	Catalogue of High Asian Glacial Lakes
3	41761144075	Study on Glacier Changes and Hydrological Impacts of Hongzha River Basin in China-Pakistan Economic Corridor Under the Influence
4	41571061	Coupling mechanism of temperature field and structure change in moraine dam and its impacts on the stability of dam

Citations and annotations

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For the achievements published in English, please refer to the following specifications： The dataset is provided by National Cryosphere Desert Data Center. (http://www.ncdc.ac.cn).

Data reference

Wang Xin, Guo Xiaoyu, Yang Chengde, Liu Qionghuan, Wei Junfeng, Zhang Yong, Liu shiyin, Zhang Yanlin, Jiang zongli, Tang Zhiguang. Cataloging data set of high Asian ice lakes. National glacial and frozen desert scientific data center(http://www.ncdc.ac.cn/), 2021. DOI: 10.12072/casnw.064.2019.db.

license agreement

This work is licensed under a Creative Commons Attribution 4.0 International License.

#	Dataset title

#	title	file size
1	High_Asia_glacial_lake.txt	22 Bytes
2	High_Asia_glacial_lake.zip	33.6 MB

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出版物

Glacial lake inventory of High Mountain Asia (1990–2018) derived from Landsat images

Theme:
Gao ya ice lake cataloging manual visual interpretation
Subject:
physical geography
Time:
1990 2018 1990 2018
Place:
High Asia

east 104.00

west 67.00

south 26.00

north 54.00

Service information

contacts:
phone:: 0931-4967592
mailbox:: ncdc@lzb.ac.cn

Contact information

contributors:: Wang Xin , Guo Xiaoyu , Yang Chengde , Liu Qionghuan , Wei Junfeng , Zhang Yong , Liu shiyin , Zhang Yanlin , Jiang zongli , Tang Zhiguang
author:: Wang Xin , Guo Xiaoyu , Yang Chengde , Liu Qionghuan , Wei Junfeng , Zhang Yong , Liu shiyin , Zhang Yanlin , Jiang zongli , Tang Zhiguang
manager:: Wang Xin