Glacial lake inventory of high-mountain Asia in 1990 and 2018 derived from Landsat images
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 d...
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| Published in | Earth system science data Vol. 12; no. 3; pp. 2169 - 2182 |
|---|---|
| Main Authors | , , , , , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
Katlenburg-Lindau
Copernicus GmbH
13.09.2020
Copernicus Publications |
| Subjects | |
| Online Access | Get full text |
| ISSN | 1866-3516 1866-3508 1866-3516 |
| DOI | 10.5194/essd-12-2169-2020 |
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| 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 668 Landsat TM, ETM+, 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 km2) in HMA covered a combined area of 1806.47±2.11 and 2080.12±2.28 km2 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): https://doi.org/10.12072/casnw.064.2019.db (Wang et al., 2019a). |
|---|---|
| AbstractList | 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 + , 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 2 ) in HMA covered a combined area of 1806.47±2.11 and 2080.12±2.28 km 2 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): https://doi.org/10.12072/casnw.064.2019.db (Wang et al., 2019a). 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+, 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.sup.2) in HMA covered a combined area of 1806.47±2.11 and 2080.12±2.28 km.sup.2 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): 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+, 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 km2) in HMA covered a combined area of 1806.47±2.11 and 2080.12±2.28 km2 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): https://doi.org/10.12072/casnw.064.2019.db (Wang et al., 2019a). 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+, 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 km2) in HMA covered a combined area of 1806.47±2.11 and 2080.12±2.28 km2 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): 10.12072/casnw.064.2019.db (Wang et al., 2019a). |
| Audience | Academic |
| Author | Jiang, Zongli Liu, Qionghuan Zhang, Yanlin Guo, Xiaoyu Liu, Shiyin Wang, Xin Yang, Chengde Tang, Zhiguang Wei, Junfeng Zhang, Yong |
| Author_xml | – sequence: 1 givenname: Xin surname: Wang fullname: Wang, Xin – sequence: 2 givenname: Xiaoyu surname: Guo fullname: Guo, Xiaoyu – sequence: 3 givenname: Chengde surname: Yang fullname: Yang, Chengde – sequence: 4 givenname: Qionghuan surname: Liu fullname: Liu, Qionghuan – sequence: 5 givenname: Junfeng orcidid: 0000-0001-9472-9342 surname: Wei fullname: Wei, Junfeng – sequence: 6 givenname: Yong surname: Zhang fullname: Zhang, Yong – sequence: 7 givenname: Shiyin orcidid: 0000-0002-9625-7497 surname: Liu fullname: Liu, Shiyin – sequence: 8 givenname: Yanlin surname: Zhang fullname: Zhang, Yanlin – sequence: 9 givenname: Zongli surname: Jiang fullname: Jiang, Zongli – sequence: 10 givenname: Zhiguang surname: Tang fullname: Tang, Zhiguang |
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| Snippet | 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... 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... |
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| SubjectTerms | Classification Cryosphere Data Datasets Earth resources technology satellites Floods Glacial lakes Glaciers Lakes Landsat Landsat satellites Mountains Regions Remote sensing Satellite imagery |
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| Title | Glacial lake inventory of high-mountain Asia in 1990 and 2018 derived from Landsat images |
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