Antarctic Supraglacial Lake Detection Using Landsat 8 and Sentinel-2 Imagery: Towards Continental Generation of Lake Volumes
Melt and supraglacial lakes are precursors to ice shelf collapse and subsequent accelerated ice sheet mass loss. We used data from the Landsat 8 and Sentinel-2 satellites to develop a threshold-based method for detection of lakes found on the Antarctic ice shelves, calculate their depths and thus th...
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ftunivmassamh:oai:scholarworks.umass.edu:geo_faculty_pubs-1023 2023-05-15T13:22:10+02:00 Antarctic Supraglacial Lake Detection Using Landsat 8 and Sentinel-2 Imagery: Towards Continental Generation of Lake Volumes Moussavi, Mahsa Pope, Allen Halberstadt, Anna Ruth W. Trusel, Luke D. Cioffi, Leanne 2020-01-01T08:00:00Z application/pdf https://scholarworks.umass.edu/geo_faculty_pubs/22 https://scholarworks.umass.edu/cgi/viewcontent.cgi?article=1023&context=geo_faculty_pubs unknown ScholarWorks@UMass Amherst https://scholarworks.umass.edu/geo_faculty_pubs/22 https://scholarworks.umass.edu/cgi/viewcontent.cgi?article=1023&context=geo_faculty_pubs http://creativecommons.org/licenses/by/4.0/ CC-BY Geosciences Department Faculty Publication Series supraglacial lake antarctica meltwater volumes ice shelf stability supervised classification satellite imagery Landsat 8 Sentinel-2 text 2020 ftunivmassamh 2022-01-09T21:35:43Z Melt and supraglacial lakes are precursors to ice shelf collapse and subsequent accelerated ice sheet mass loss. We used data from the Landsat 8 and Sentinel-2 satellites to develop a threshold-based method for detection of lakes found on the Antarctic ice shelves, calculate their depths and thus their volumes. To achieve this, we focus on four key areas: the Amery, Roi Baudouin, Nivlisen, and Riiser-Larsen ice shelves, which are all characterized by extensive surface meltwater features. To validate our products, we compare our results against those obtained by an independent method based on a supervised classification scheme (e.g., Random Forest algorithm). Additional verification is provided by manual inspection of results for nearly 1000 Landsat 8 and Sentinel-2 images. Our dual-sensor approach will enable constructing high-resolution time series of lake volumes. Therefore, to ensure interoperability between the two datasets, we evaluate depths from contemporaneous Landsat 8 and Sentinel-2 image pairs. Our assessments point to a high degree of correspondence, producing an average R2 value of 0.85, no bias, and an average RMSE of 0.2 m. We demonstrate our method’s ability to characterize lake evolution by presenting first evidence of drainage events outside of the Antarctic Peninsula on the Amery Ice shelf. The methods presented here pave the way to upscaling throughout the Landsat 8 and Sentinel-2 observational record across Antarctica to produce a first-ever continental dataset of supraglacial lake volumes. Such a dataset will improve our understanding of the influence of surface hydrology on ice shelf stability, and thus, future projections of Antarctica’s contribution to sea level rise. Text Amery Ice Shelf Antarc* Antarctic Antarctic Peninsula Antarctica Ice Sheet Ice Shelf Ice Shelves University of Massachusetts: ScholarWorks@UMass Amherst Amery ENVELOPE(-94.063,-94.063,56.565,56.565) Amery Ice Shelf ENVELOPE(71.000,71.000,-69.750,-69.750) Antarctic Antarctic Peninsula Nivlisen ENVELOPE(11.000,11.000,-70.333,-70.333) Riiser-Larsen ENVELOPE(50.667,50.667,-66.783,-66.783) Roi Baudouin ENVELOPE(24.461,24.461,-70.438,-70.438) The Antarctic |
institution |
Open Polar |
collection |
University of Massachusetts: ScholarWorks@UMass Amherst |
op_collection_id |
ftunivmassamh |
language |
unknown |
topic |
supraglacial lake antarctica meltwater volumes ice shelf stability supervised classification satellite imagery Landsat 8 Sentinel-2 |
spellingShingle |
supraglacial lake antarctica meltwater volumes ice shelf stability supervised classification satellite imagery Landsat 8 Sentinel-2 Moussavi, Mahsa Pope, Allen Halberstadt, Anna Ruth W. Trusel, Luke D. Cioffi, Leanne Antarctic Supraglacial Lake Detection Using Landsat 8 and Sentinel-2 Imagery: Towards Continental Generation of Lake Volumes |
topic_facet |
supraglacial lake antarctica meltwater volumes ice shelf stability supervised classification satellite imagery Landsat 8 Sentinel-2 |
description |
Melt and supraglacial lakes are precursors to ice shelf collapse and subsequent accelerated ice sheet mass loss. We used data from the Landsat 8 and Sentinel-2 satellites to develop a threshold-based method for detection of lakes found on the Antarctic ice shelves, calculate their depths and thus their volumes. To achieve this, we focus on four key areas: the Amery, Roi Baudouin, Nivlisen, and Riiser-Larsen ice shelves, which are all characterized by extensive surface meltwater features. To validate our products, we compare our results against those obtained by an independent method based on a supervised classification scheme (e.g., Random Forest algorithm). Additional verification is provided by manual inspection of results for nearly 1000 Landsat 8 and Sentinel-2 images. Our dual-sensor approach will enable constructing high-resolution time series of lake volumes. Therefore, to ensure interoperability between the two datasets, we evaluate depths from contemporaneous Landsat 8 and Sentinel-2 image pairs. Our assessments point to a high degree of correspondence, producing an average R2 value of 0.85, no bias, and an average RMSE of 0.2 m. We demonstrate our method’s ability to characterize lake evolution by presenting first evidence of drainage events outside of the Antarctic Peninsula on the Amery Ice shelf. The methods presented here pave the way to upscaling throughout the Landsat 8 and Sentinel-2 observational record across Antarctica to produce a first-ever continental dataset of supraglacial lake volumes. Such a dataset will improve our understanding of the influence of surface hydrology on ice shelf stability, and thus, future projections of Antarctica’s contribution to sea level rise. |
format |
Text |
author |
Moussavi, Mahsa Pope, Allen Halberstadt, Anna Ruth W. Trusel, Luke D. Cioffi, Leanne |
author_facet |
Moussavi, Mahsa Pope, Allen Halberstadt, Anna Ruth W. Trusel, Luke D. Cioffi, Leanne |
author_sort |
Moussavi, Mahsa |
title |
Antarctic Supraglacial Lake Detection Using Landsat 8 and Sentinel-2 Imagery: Towards Continental Generation of Lake Volumes |
title_short |
Antarctic Supraglacial Lake Detection Using Landsat 8 and Sentinel-2 Imagery: Towards Continental Generation of Lake Volumes |
title_full |
Antarctic Supraglacial Lake Detection Using Landsat 8 and Sentinel-2 Imagery: Towards Continental Generation of Lake Volumes |
title_fullStr |
Antarctic Supraglacial Lake Detection Using Landsat 8 and Sentinel-2 Imagery: Towards Continental Generation of Lake Volumes |
title_full_unstemmed |
Antarctic Supraglacial Lake Detection Using Landsat 8 and Sentinel-2 Imagery: Towards Continental Generation of Lake Volumes |
title_sort |
antarctic supraglacial lake detection using landsat 8 and sentinel-2 imagery: towards continental generation of lake volumes |
publisher |
ScholarWorks@UMass Amherst |
publishDate |
2020 |
url |
https://scholarworks.umass.edu/geo_faculty_pubs/22 https://scholarworks.umass.edu/cgi/viewcontent.cgi?article=1023&context=geo_faculty_pubs |
long_lat |
ENVELOPE(-94.063,-94.063,56.565,56.565) ENVELOPE(71.000,71.000,-69.750,-69.750) ENVELOPE(11.000,11.000,-70.333,-70.333) ENVELOPE(50.667,50.667,-66.783,-66.783) ENVELOPE(24.461,24.461,-70.438,-70.438) |
geographic |
Amery Amery Ice Shelf Antarctic Antarctic Peninsula Nivlisen Riiser-Larsen Roi Baudouin The Antarctic |
geographic_facet |
Amery Amery Ice Shelf Antarctic Antarctic Peninsula Nivlisen Riiser-Larsen Roi Baudouin The Antarctic |
genre |
Amery Ice Shelf Antarc* Antarctic Antarctic Peninsula Antarctica Ice Sheet Ice Shelf Ice Shelves |
genre_facet |
Amery Ice Shelf Antarc* Antarctic Antarctic Peninsula Antarctica Ice Sheet Ice Shelf Ice Shelves |
op_source |
Geosciences Department Faculty Publication Series |
op_relation |
https://scholarworks.umass.edu/geo_faculty_pubs/22 https://scholarworks.umass.edu/cgi/viewcontent.cgi?article=1023&context=geo_faculty_pubs |
op_rights |
http://creativecommons.org/licenses/by/4.0/ |
op_rightsnorm |
CC-BY |
_version_ |
1766363601428283392 |