Supraglacial lake bathymetry automatically derived from ICESat-2 constraining lake depth estimates from multi-source satellite imagery

We introduce an algorithm (Watta) which automatically calculates supraglacial lake bathymetry and detects potential ice layers along tracks of the ICESat-2 (Ice, Cloud, and Land Elevation Satellite) laser altimeter. Watta uses photon heights estimated by the ICESat-2 ATL03 product and extracts supra...

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Published in:The Cryosphere
Main Authors: Datta, R. T. (author), Wouters, B. (author)
Format: Article in Journal/Newspaper
Language:English
Published: 2021
Subjects:
Online Access:http://resolver.tudelft.nl/uuid:e05dbdca-27a7-4177-93db-c4069abe60e9
https://doi.org/10.5194/tc-15-5115-2021
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spelling fttudelft:oai:tudelft.nl:uuid:e05dbdca-27a7-4177-93db-c4069abe60e9 2024-02-11T10:04:02+01:00 Supraglacial lake bathymetry automatically derived from ICESat-2 constraining lake depth estimates from multi-source satellite imagery Datta, R. T. (author) Wouters, B. (author) 2021 http://resolver.tudelft.nl/uuid:e05dbdca-27a7-4177-93db-c4069abe60e9 https://doi.org/10.5194/tc-15-5115-2021 en eng http://www.scopus.com/inward/record.url?scp=85119510126&partnerID=8YFLogxK The Cryosphere--1994-0416--cd846f1b-e0c2-4859-8c64-145cdcd59512 http://resolver.tudelft.nl/uuid:e05dbdca-27a7-4177-93db-c4069abe60e9 https://doi.org/10.5194/tc-15-5115-2021 © 2021 R. T. Datta, B. Wouters journal article 2021 fttudelft https://doi.org/10.5194/tc-15-5115-2021 2024-01-24T23:32:20Z We introduce an algorithm (Watta) which automatically calculates supraglacial lake bathymetry and detects potential ice layers along tracks of the ICESat-2 (Ice, Cloud, and Land Elevation Satellite) laser altimeter. Watta uses photon heights estimated by the ICESat-2 ATL03 product and extracts supraglacial lake surface, bottom, and depth corrected for refraction and (sub-)surface ice cover in addition to producing surface heights at the native resolution of the ATL03 photon cloud. These measurements are used to constrain empirical estimates of lake depth from satellite imagery, which were thus far dependent on sparse sets of in situ measurements for calibration. Imagery sources include Landsat 8 Operational Land Imager (OLI), Sentinel-2, and high-resolution Planet Labs PlanetScope and SkySat data, used here for the first time to calculate supraglacial lake depths. The Watta algorithm was developed and tested using a set of 46 lakes near Sermeq Kujalleq (Jakobshavn) glacier in western Greenland, and we use multiple imagery sources (available for 45 of these lakes) to assess the use of the red vs. green band to extrapolate depths along a profile to full lake volumes. We use Watta-derived estimates in conjunction with high-resolution imagery from both satellite-based sources (tasked over the season) and nearly simultaneous Operation IceBridge CAMBOT (Continuous Airborne Mapping By Optical Translator) imagery (on a single airborne flight) for a focused study of the drainage of a single lake over the 2019 melt season. Our results suggest that the use of multiple imagery sources (both publicly available and commercial), in combination with altimetry-based depths, can move towards capturing the evolution of supraglacial hydrology at improved spatial and temporal scales. Physical and Space Geodesy Article in Journal/Newspaper glacier Greenland Jakobshavn Kujalleq Sermeq Kujalleq The Cryosphere Delft University of Technology: Institutional Repository Greenland Kujalleq ENVELOPE(-46.037,-46.037,60.719,60.719) Single Lake ENVELOPE(-99.525,-99.525,58.442,58.442) The Cryosphere 15 11 5115 5132
institution Open Polar
collection Delft University of Technology: Institutional Repository
op_collection_id fttudelft
language English
description We introduce an algorithm (Watta) which automatically calculates supraglacial lake bathymetry and detects potential ice layers along tracks of the ICESat-2 (Ice, Cloud, and Land Elevation Satellite) laser altimeter. Watta uses photon heights estimated by the ICESat-2 ATL03 product and extracts supraglacial lake surface, bottom, and depth corrected for refraction and (sub-)surface ice cover in addition to producing surface heights at the native resolution of the ATL03 photon cloud. These measurements are used to constrain empirical estimates of lake depth from satellite imagery, which were thus far dependent on sparse sets of in situ measurements for calibration. Imagery sources include Landsat 8 Operational Land Imager (OLI), Sentinel-2, and high-resolution Planet Labs PlanetScope and SkySat data, used here for the first time to calculate supraglacial lake depths. The Watta algorithm was developed and tested using a set of 46 lakes near Sermeq Kujalleq (Jakobshavn) glacier in western Greenland, and we use multiple imagery sources (available for 45 of these lakes) to assess the use of the red vs. green band to extrapolate depths along a profile to full lake volumes. We use Watta-derived estimates in conjunction with high-resolution imagery from both satellite-based sources (tasked over the season) and nearly simultaneous Operation IceBridge CAMBOT (Continuous Airborne Mapping By Optical Translator) imagery (on a single airborne flight) for a focused study of the drainage of a single lake over the 2019 melt season. Our results suggest that the use of multiple imagery sources (both publicly available and commercial), in combination with altimetry-based depths, can move towards capturing the evolution of supraglacial hydrology at improved spatial and temporal scales. Physical and Space Geodesy
format Article in Journal/Newspaper
author Datta, R. T. (author)
Wouters, B. (author)
spellingShingle Datta, R. T. (author)
Wouters, B. (author)
Supraglacial lake bathymetry automatically derived from ICESat-2 constraining lake depth estimates from multi-source satellite imagery
author_facet Datta, R. T. (author)
Wouters, B. (author)
author_sort Datta, R. T. (author)
title Supraglacial lake bathymetry automatically derived from ICESat-2 constraining lake depth estimates from multi-source satellite imagery
title_short Supraglacial lake bathymetry automatically derived from ICESat-2 constraining lake depth estimates from multi-source satellite imagery
title_full Supraglacial lake bathymetry automatically derived from ICESat-2 constraining lake depth estimates from multi-source satellite imagery
title_fullStr Supraglacial lake bathymetry automatically derived from ICESat-2 constraining lake depth estimates from multi-source satellite imagery
title_full_unstemmed Supraglacial lake bathymetry automatically derived from ICESat-2 constraining lake depth estimates from multi-source satellite imagery
title_sort supraglacial lake bathymetry automatically derived from icesat-2 constraining lake depth estimates from multi-source satellite imagery
publishDate 2021
url http://resolver.tudelft.nl/uuid:e05dbdca-27a7-4177-93db-c4069abe60e9
https://doi.org/10.5194/tc-15-5115-2021
long_lat ENVELOPE(-46.037,-46.037,60.719,60.719)
ENVELOPE(-99.525,-99.525,58.442,58.442)
geographic Greenland
Kujalleq
Single Lake
geographic_facet Greenland
Kujalleq
Single Lake
genre glacier
Greenland
Jakobshavn
Kujalleq
Sermeq Kujalleq
The Cryosphere
genre_facet glacier
Greenland
Jakobshavn
Kujalleq
Sermeq Kujalleq
The Cryosphere
op_relation http://www.scopus.com/inward/record.url?scp=85119510126&partnerID=8YFLogxK
The Cryosphere--1994-0416--cd846f1b-e0c2-4859-8c64-145cdcd59512
http://resolver.tudelft.nl/uuid:e05dbdca-27a7-4177-93db-c4069abe60e9
https://doi.org/10.5194/tc-15-5115-2021
op_rights © 2021 R. T. Datta, B. Wouters
op_doi https://doi.org/10.5194/tc-15-5115-2021
container_title The Cryosphere
container_volume 15
container_issue 11
container_start_page 5115
op_container_end_page 5132
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