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Discussion papers
https://doi.org/10.5194/essd-2019-212
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-2019-212
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Submitted as: data description paper 14 Jan 2020

Submitted as: data description paper | 14 Jan 2020

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This preprint is currently under review for the journal ESSD.

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

Xin Wang1,2, Xiaoyu Guo1, Chengde Yang2, Qionghuan Liu3, Junfeng Wei1, Yong Zhang1, Shiyin Liu4, Yanlin Zhang1, Zongli Jiang1, and Zhiguang Tang1 Xin Wang et al.
  • 1School of Resource Environment and Safety Engineering, Hunan University of Science and Technology, Xiangtan, 411100, China
  • 2State Key Laboratory of Cryospheric Science, Northwest Institute of Ecology and Environmental Resources, Chinese Academy of Sciences, Lanzhou 730000,China
  • 3Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
  • 4Institute of International Rivers and Eco-security, Yunnan University, Kunming, 650000, China

Abstract. There is currently no glacial lake inventory data set for the entire High Mountain Asia (HMA) area. The definition and classification of glacial lakes remain controversial, presenting certain obstacles to extensive utilization of glacial lake inventory data. This study integrated glacier inventory data and 426 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. The theoretical and methodological basis for all processing steps including glacial lake definition and classification, lake boundary delineation, and error assessment are discussed comprehensively in the paper. Moreover, detailed information regarding the coding, location, perimeter and area, area error, type, time phase, source image information, and sub-regions of the located lakes is presented. It was established that 26,089 and 28,953 glacial lakes in HMA, with sizes of 0.0054–5.83 km2, covered a combined area of 1692.74 ± 231.44 and 1955.94 ± 259.68 km2 in 1990 and 2018, respectively. The data set now is available at the National Special Environment and Function of Observation and Research Stations Shared Service Platform (China) at http://dx.doi.org/10.12072/casnw.064.2019.db (Wang et al., 2019a).

Xin Wang et al.

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Xin Wang et al.

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Glacial lake inventory of High Mountain Asia, National Special Environment and Function of Observation and Research Stations Shared Service Platform X. Wang, X. Guo, C. Yang, Q. Liu, J. Wei, Y. Zhang, S. Liu, Y. Zhang, Z. Jiang, and Z. Tang https://doi.org/10.12072/casnw.064.2019.db

Xin Wang et al.

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Short summary
The theoretical and methodological bases for all processing steps including glacial lake definition and classification, lake boundary delineation were discussed based on satellite remote sensing data and GIS techniques. The relative area errors of each lake in 2018 varied from 2–85 % with average relative area errors of ±13.3 %. In the HMA, 28,953 glacial lakes with a total area of 1955.93 ± 259.68 km2 were catalogued in 2018 with an average rate of increase in area of 15.5 % in 1990-2018.
The theoretical and methodological bases for all processing steps including glacial lake...
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