Glacial lake inventory of high-mountain Asia in 1990 and 2018 derived from Landsat images

<p>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 in...

Full description

Bibliographic Details
Main Authors: X. Wang, X. Guo, C. Yang, Q. Liu, J. Wei, Y. Zhang, S. Liu, Z. Jiang, Z. Tang
Format: Article
Language:English
Published: Copernicus Publications 2020-09-01
Series:Earth System Science Data
Online Access:https://essd.copernicus.org/articles/12/2169/2020/essd-12-2169-2020.pdf
id doaj-24047db63c8b4baca0bc6327316ee1bf
record_format Article
spelling doaj-24047db63c8b4baca0bc6327316ee1bf2020-11-25T03:35:50ZengCopernicus PublicationsEarth System Science Data1866-35081866-35162020-09-01122169218210.5194/essd-12-2169-2020Glacial lake inventory of high-mountain Asia in 1990 and 2018 derived from Landsat imagesX. Wang0X. Wang1X. Guo2C. Yang3Q. Liu4J. Wei5Y. Zhang6S. Liu7Y. Zhang8Z. Jiang9Z. Tang10School of Resource, Environment and Safety Engineering, Hunan University of Science and Technology, Xiangtan, 411100, ChinaState Key Laboratory of Cryospheric Science, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, 730000, ChinaSchool of Resource, Environment and Safety Engineering, Hunan University of Science and Technology, Xiangtan, 411100, ChinaState Key Laboratory of Cryospheric Science, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, 730000, ChinaKey Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, ChinaSchool of Resource, Environment and Safety Engineering, Hunan University of Science and Technology, Xiangtan, 411100, ChinaSchool of Resource, Environment and Safety Engineering, Hunan University of Science and Technology, Xiangtan, 411100, ChinaInstitute of International Rivers and Eco-security, Yunnan University, Kunming, 650000, ChinaSchool of Resource, Environment and Safety Engineering, Hunan University of Science and Technology, Xiangtan, 411100, ChinaSchool of Resource, Environment and Safety Engineering, Hunan University of Science and Technology, Xiangtan, 411100, ChinaSchool of Resource, Environment and Safety Engineering, Hunan University of Science and Technology, Xiangtan, 411100, China<p>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 668 Landsat TM, ETM<span class="inline-formula">+</span>, and OLI images and adopted manual visual interpretation to extract glacial lake boundaries within a 10&thinsp;km buffer from glacier extent 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 uncertainty assessment is discussed comprehensively in the paper. Moreover, detailed information regarding the coding, location, perimeter and area, area error, type, time phase, source image information, and subregions of the located lakes is presented. It was established that 27&thinsp;205 and 30&thinsp;121 glacial lakes (size 0.0054–6.46&thinsp;km<span class="inline-formula"><sup>2</sup></span>) in HMA covered a combined area of <span class="inline-formula">1806.47±2.11</span> and <span class="inline-formula">2080.12±2.28</span>&thinsp;km<span class="inline-formula"><sup>2</sup></span> in 1990 and 2018, respectively. The data set is now available from the National Special Environment and Function of Observation and Research Stations Shared Service Platform (China): <a href="https://doi.org/10.12072/casnw.064.2019.db">https://doi.org/10.12072/casnw.064.2019.db</a> (Wang et al., 2019a).</p>https://essd.copernicus.org/articles/12/2169/2020/essd-12-2169-2020.pdf
collection DOAJ
language English
format Article
sources DOAJ
author X. Wang
X. Wang
X. Guo
C. Yang
Q. Liu
J. Wei
Y. Zhang
S. Liu
Y. Zhang
Z. Jiang
Z. Tang
spellingShingle X. Wang
X. Wang
X. Guo
C. Yang
Q. Liu
J. Wei
Y. Zhang
S. Liu
Y. Zhang
Z. Jiang
Z. Tang
Glacial lake inventory of high-mountain Asia in 1990 and 2018 derived from Landsat images
Earth System Science Data
author_facet X. Wang
X. Wang
X. Guo
C. Yang
Q. Liu
J. Wei
Y. Zhang
S. Liu
Y. Zhang
Z. Jiang
Z. Tang
author_sort X. Wang
title Glacial lake inventory of high-mountain Asia in 1990 and 2018 derived from Landsat images
title_short Glacial lake inventory of high-mountain Asia in 1990 and 2018 derived from Landsat images
title_full Glacial lake inventory of high-mountain Asia in 1990 and 2018 derived from Landsat images
title_fullStr Glacial lake inventory of high-mountain Asia in 1990 and 2018 derived from Landsat images
title_full_unstemmed Glacial lake inventory of high-mountain Asia in 1990 and 2018 derived from Landsat images
title_sort glacial lake inventory of high-mountain asia in 1990 and 2018 derived from landsat images
publisher Copernicus Publications
series Earth System Science Data
issn 1866-3508
1866-3516
publishDate 2020-09-01
description <p>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 668 Landsat TM, ETM<span class="inline-formula">+</span>, and OLI images and adopted manual visual interpretation to extract glacial lake boundaries within a 10&thinsp;km buffer from glacier extent 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 uncertainty assessment is discussed comprehensively in the paper. Moreover, detailed information regarding the coding, location, perimeter and area, area error, type, time phase, source image information, and subregions of the located lakes is presented. It was established that 27&thinsp;205 and 30&thinsp;121 glacial lakes (size 0.0054–6.46&thinsp;km<span class="inline-formula"><sup>2</sup></span>) in HMA covered a combined area of <span class="inline-formula">1806.47±2.11</span> and <span class="inline-formula">2080.12±2.28</span>&thinsp;km<span class="inline-formula"><sup>2</sup></span> in 1990 and 2018, respectively. The data set is now available from the National Special Environment and Function of Observation and Research Stations Shared Service Platform (China): <a href="https://doi.org/10.12072/casnw.064.2019.db">https://doi.org/10.12072/casnw.064.2019.db</a> (Wang et al., 2019a).</p>
url https://essd.copernicus.org/articles/12/2169/2020/essd-12-2169-2020.pdf
work_keys_str_mv AT xwang glaciallakeinventoryofhighmountainasiain1990and2018derivedfromlandsatimages
AT xwang glaciallakeinventoryofhighmountainasiain1990and2018derivedfromlandsatimages
AT xguo glaciallakeinventoryofhighmountainasiain1990and2018derivedfromlandsatimages
AT cyang glaciallakeinventoryofhighmountainasiain1990and2018derivedfromlandsatimages
AT qliu glaciallakeinventoryofhighmountainasiain1990and2018derivedfromlandsatimages
AT jwei glaciallakeinventoryofhighmountainasiain1990and2018derivedfromlandsatimages
AT yzhang glaciallakeinventoryofhighmountainasiain1990and2018derivedfromlandsatimages
AT sliu glaciallakeinventoryofhighmountainasiain1990and2018derivedfromlandsatimages
AT yzhang glaciallakeinventoryofhighmountainasiain1990and2018derivedfromlandsatimages
AT zjiang glaciallakeinventoryofhighmountainasiain1990and2018derivedfromlandsatimages
AT ztang glaciallakeinventoryofhighmountainasiain1990and2018derivedfromlandsatimages
_version_ 1724552829397368832