Mapping Area Changes of Glacial Lakes Using Stacks of Optical Satellite Images
Glacial lakes are an important and dynamic component of terrestrial meltwater storage, responding to climate change and glacier retreat. Although there is evidence of rapid worldwide growth of glacial lakes, changes in frequency and magnitude of glacier lake outbursts under climatic changes are not...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-11-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/14/23/5973 |
| _version_ | 1797462241174355968 |
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| author | Varvara Bazilova Andreas Kääb |
| author_facet | Varvara Bazilova Andreas Kääb |
| author_sort | Varvara Bazilova |
| collection | DOAJ |
| description | Glacial lakes are an important and dynamic component of terrestrial meltwater storage, responding to climate change and glacier retreat. Although there is evidence of rapid worldwide growth of glacial lakes, changes in frequency and magnitude of glacier lake outbursts under climatic changes are not yet understood. This study proposes and discusses a method framework for regional-scale mapping of glacial lakes and area change detection using large time-series of optical satellite images and the cloud processing tool Google Earth Engine in a semi-automatic way. The methods are presented for two temporal scales, from the 2-week Landsat revisit period to annual resolution. The proposed methods show how constructing an annual composite of pixel values such as minimum or maximum values can help to overcome typical problems associated with water mapping from optical satellite data such as clouds, or terrain and cloud shadows. For annual-resolution glacial lake mapping, our method set only involves two different band ratios based on multispectral satellite images. The study demonstrates how the proposed method framework can be applied to detect rapid lake area changes and to produce a complete regional-scale glacial lake inventory, using the Greater Caucasus as example. |
| first_indexed | 2024-03-09T17:33:42Z |
| format | Article |
| id | doaj.art-4a1438c984cc43a689d912f4678fd9af |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-09T17:33:42Z |
| publishDate | 2022-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-4a1438c984cc43a689d912f4678fd9af2023-11-24T12:03:32ZengMDPI AGRemote Sensing2072-42922022-11-011423597310.3390/rs14235973Mapping Area Changes of Glacial Lakes Using Stacks of Optical Satellite ImagesVarvara Bazilova0Andreas Kääb1Department of Geosciences, University of Oslo, P.O. Box 1047, 0316 Oslo, NorwayDepartment of Geosciences, University of Oslo, P.O. Box 1047, 0316 Oslo, NorwayGlacial lakes are an important and dynamic component of terrestrial meltwater storage, responding to climate change and glacier retreat. Although there is evidence of rapid worldwide growth of glacial lakes, changes in frequency and magnitude of glacier lake outbursts under climatic changes are not yet understood. This study proposes and discusses a method framework for regional-scale mapping of glacial lakes and area change detection using large time-series of optical satellite images and the cloud processing tool Google Earth Engine in a semi-automatic way. The methods are presented for two temporal scales, from the 2-week Landsat revisit period to annual resolution. The proposed methods show how constructing an annual composite of pixel values such as minimum or maximum values can help to overcome typical problems associated with water mapping from optical satellite data such as clouds, or terrain and cloud shadows. For annual-resolution glacial lake mapping, our method set only involves two different band ratios based on multispectral satellite images. The study demonstrates how the proposed method framework can be applied to detect rapid lake area changes and to produce a complete regional-scale glacial lake inventory, using the Greater Caucasus as example.https://www.mdpi.com/2072-4292/14/23/5973glacial lakesglacial lake drainageswater body mappingearth enginemultispectral images |
| spellingShingle | Varvara Bazilova Andreas Kääb Mapping Area Changes of Glacial Lakes Using Stacks of Optical Satellite Images Remote Sensing glacial lakes glacial lake drainages water body mapping earth engine multispectral images |
| title | Mapping Area Changes of Glacial Lakes Using Stacks of Optical Satellite Images |
| title_full | Mapping Area Changes of Glacial Lakes Using Stacks of Optical Satellite Images |
| title_fullStr | Mapping Area Changes of Glacial Lakes Using Stacks of Optical Satellite Images |
| title_full_unstemmed | Mapping Area Changes of Glacial Lakes Using Stacks of Optical Satellite Images |
| title_short | Mapping Area Changes of Glacial Lakes Using Stacks of Optical Satellite Images |
| title_sort | mapping area changes of glacial lakes using stacks of optical satellite images |
| topic | glacial lakes glacial lake drainages water body mapping earth engine multispectral images |
| url | https://www.mdpi.com/2072-4292/14/23/5973 |
| work_keys_str_mv | AT varvarabazilova mappingareachangesofglaciallakesusingstacksofopticalsatelliteimages AT andreaskaab mappingareachangesofglaciallakesusingstacksofopticalsatelliteimages |