Estimating supraglacial lake depth in western Greenland using Landsat 8 and comparison with other multispectral methods
Liquid water stored on the surface of ice sheets and glaciers impacts surface mass balance, ice dynamics, and heat transport. Supraglacial lakes, therefore, play a significant role in ice sheet behavior as a surface expression of the glacial hydrological system. Multispectral remote sensing can be u...
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ftvirginiatec:oai:vtechworks.lib.vt.edu:10919/118082 2024-04-28T08:21:27+00:00 Estimating supraglacial lake depth in western Greenland using Landsat 8 and comparison with other multispectral methods Cryosphere Discussions Pope, A. Scambos, T. A. Moussavi, M. Tedesco, M. Willis, Michael J. Shean, D. Grigsby, S. 2015-06-22 Pages 3257-3292 application/pdf https://hdl.handle.net/10919/118082 https://doi.org/10.5194/tcd-9-3257-2015 en eng Copernicus 1994-0432 https://hdl.handle.net/10919/118082 https://doi.org/10.5194/tcd-9-3257-2015 9 3 1994-0440 Creative Commons Attribution 4.0 International http://creativecommons.org/licenses/by/4.0/ Article - Refereed Journal Article Text 2015 ftvirginiatec https://doi.org/10.5194/tcd-9-3257-2015 2024-04-10T00:13:58Z Liquid water stored on the surface of ice sheets and glaciers impacts surface mass balance, ice dynamics, and heat transport. Supraglacial lakes, therefore, play a significant role in ice sheet behavior as a surface expression of the glacial hydrological system. Multispectral remote sensing can be used to detect supraglacial lakes and estimate their depth and area. In this study, we use in situ spectral and bathymetric data to assess lake depth retrieval using the recently launched Landsat 8 Operational Land Imager (OLI). We also extend our analysis to other multispectral sensors to evaluate their performance with similar methods. Digital elevation models derived from WorldView stereo imagery (pre-lake filling and post-drainage) are used to validate spectrally derived depths, combined with a lake edge determination from imagery. The optimal supraglacial lake depth retrieval is a physically based single-band model applied to two OLI bands independently (red and panchromatic) that are then averaged together. When OLI- and WorldView-derived depths are differenced, they yield a mean and standard deviation of 0.0 1.6 m. This method is then applied to OLI data for the Sermeq Kujalleq (Jakobshavn Isbrae) region of Greenland to study the spatial and intra-seasonal variability of supraglacial lakes during summer 2014. We also give coefficients for estimating supraglacial lake depth using a similar method as OLI with other multispectral sensors. Published version Article in Journal/Newspaper Greenland Ice Sheet Jakobshavn Kujalleq Sermeq Kujalleq VTechWorks (VirginiaTech) |
institution |
Open Polar |
collection |
VTechWorks (VirginiaTech) |
op_collection_id |
ftvirginiatec |
language |
English |
description |
Liquid water stored on the surface of ice sheets and glaciers impacts surface mass balance, ice dynamics, and heat transport. Supraglacial lakes, therefore, play a significant role in ice sheet behavior as a surface expression of the glacial hydrological system. Multispectral remote sensing can be used to detect supraglacial lakes and estimate their depth and area. In this study, we use in situ spectral and bathymetric data to assess lake depth retrieval using the recently launched Landsat 8 Operational Land Imager (OLI). We also extend our analysis to other multispectral sensors to evaluate their performance with similar methods. Digital elevation models derived from WorldView stereo imagery (pre-lake filling and post-drainage) are used to validate spectrally derived depths, combined with a lake edge determination from imagery. The optimal supraglacial lake depth retrieval is a physically based single-band model applied to two OLI bands independently (red and panchromatic) that are then averaged together. When OLI- and WorldView-derived depths are differenced, they yield a mean and standard deviation of 0.0 1.6 m. This method is then applied to OLI data for the Sermeq Kujalleq (Jakobshavn Isbrae) region of Greenland to study the spatial and intra-seasonal variability of supraglacial lakes during summer 2014. We also give coefficients for estimating supraglacial lake depth using a similar method as OLI with other multispectral sensors. Published version |
format |
Article in Journal/Newspaper |
author |
Pope, A. Scambos, T. A. Moussavi, M. Tedesco, M. Willis, Michael J. Shean, D. Grigsby, S. |
spellingShingle |
Pope, A. Scambos, T. A. Moussavi, M. Tedesco, M. Willis, Michael J. Shean, D. Grigsby, S. Estimating supraglacial lake depth in western Greenland using Landsat 8 and comparison with other multispectral methods |
author_facet |
Pope, A. Scambos, T. A. Moussavi, M. Tedesco, M. Willis, Michael J. Shean, D. Grigsby, S. |
author_sort |
Pope, A. |
title |
Estimating supraglacial lake depth in western Greenland using Landsat 8 and comparison with other multispectral methods |
title_short |
Estimating supraglacial lake depth in western Greenland using Landsat 8 and comparison with other multispectral methods |
title_full |
Estimating supraglacial lake depth in western Greenland using Landsat 8 and comparison with other multispectral methods |
title_fullStr |
Estimating supraglacial lake depth in western Greenland using Landsat 8 and comparison with other multispectral methods |
title_full_unstemmed |
Estimating supraglacial lake depth in western Greenland using Landsat 8 and comparison with other multispectral methods |
title_sort |
estimating supraglacial lake depth in western greenland using landsat 8 and comparison with other multispectral methods |
publisher |
Copernicus |
publishDate |
2015 |
url |
https://hdl.handle.net/10919/118082 https://doi.org/10.5194/tcd-9-3257-2015 |
genre |
Greenland Ice Sheet Jakobshavn Kujalleq Sermeq Kujalleq |
genre_facet |
Greenland Ice Sheet Jakobshavn Kujalleq Sermeq Kujalleq |
op_relation |
1994-0432 https://hdl.handle.net/10919/118082 https://doi.org/10.5194/tcd-9-3257-2015 9 3 1994-0440 |
op_rights |
Creative Commons Attribution 4.0 International http://creativecommons.org/licenses/by/4.0/ |
op_doi |
https://doi.org/10.5194/tcd-9-3257-2015 |
_version_ |
1797583788917653504 |