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...
Main Authors: | , , , , , , , , |
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Format: | Article |
Language: | English |
Published: |
Copernicus Publications
2020-09-01
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Series: | Earth System Science Data |
Online Access: | https://essd.copernicus.org/articles/12/2169/2020/essd-12-2169-2020.pdf |
Summary: | <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 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 27 205 and 30 121 glacial lakes
(size 0.0054–6.46 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> 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> |
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ISSN: | 1866-3508 1866-3516 |