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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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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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 |
_version_ |
1790600463848046592 |