Towards physical habitat characterisation in the Antarctic Sor Rondane Mountains using satellite remote sensing
Ice-free areas occupy less than 0.25% of the Antarctic surface, and mainly occur along coastlines, or as inland nunataks protruding from the extensive ice sheet. Their extreme environment and geographical isolation have contributed to the evolution of highly adapted, and largely endemic terrestrial...
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ftunivgent:oai:archive.ugent.be:8734916 2023-06-11T04:06:12+02:00 Towards physical habitat characterisation in the Antarctic Sor Rondane Mountains using satellite remote sensing Vanhellemont, Quinten Lambrechts, Sam Savaglia, Valentina Tytgat, Bjorn Verleyen, Elie Vyverman, Wim 2021 application/pdf https://biblio.ugent.be/publication/8734916 http://hdl.handle.net/1854/LU-8734916 https://doi.org/10.1016/j.rsase.2021.100529 https://biblio.ugent.be/publication/8734916/file/8750002 eng eng https://biblio.ugent.be/publication/8734916 http://hdl.handle.net/1854/LU-8734916 http://dx.doi.org/10.1016/j.rsase.2021.100529 https://biblio.ugent.be/publication/8734916/file/8750002 Creative Commons Attribution 4.0 International Public License (CC-BY 4.0) info:eu-repo/semantics/openAccess REMOTE SENSING APPLICATIONS-SOCIETY AND ENVIRONMENT ISSN: 2352-9385 Biology and Life Sciences DIGITAL ELEVATION MODEL LANDSAT ICE SURFACE AREA RADIATION ECOSYSTEMS THICKNESS IMAGERY SYSTEM Antarctica Ice-free regions Digital surface model Land surface temperature Pleiades Landsat 8 journalArticle info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion 2021 ftunivgent https://doi.org/10.1016/j.rsase.2021.100529 2023-04-19T22:10:20Z Ice-free areas occupy less than 0.25% of the Antarctic surface, and mainly occur along coastlines, or as inland nunataks protruding from the extensive ice sheet. Their extreme environment and geographical isolation have contributed to the evolution of highly adapted, and largely endemic terrestrial biota. Physical habitat mapping is important to identify the main drivers of spatial variation in soil biodiversity, to predict its response to climate change and to help conservation planning. In this paper we retrieved remotely sensed Land Surface Temperature (LST) and Digital Surface Models (DSM) for the Sor Rondane Mountains in East Antarctica from respectively the Thermal InfraRed Sensor (TIRS) on Landsat 8 and the Pl eiades constellation of high resolution optical imagers. Satellite data were combined with ground truth temperature and elevation measurements with the aim to assess the performance of these remotely sensed data. Over a 2 year period, satellite derived LST corresponded to in situ temperature with Mean Average Difference (MAD) of 2.5 K, and Root Mean Squared Difference (RMSD) of - 6.3 K. Lower biases were observed for periods when the data loggers were frozen or snow covered (MAD 1.8K) compared to intervals where the devices were not frozen (MAD 4 K), with larger scatter (RMSD 7 K) being observed during the latter. These larger MAD and RMSD are caused by the differential heating of the top of the gravel/rocks as observed by the satellite compared to their underside, where the loggers were installed, and are also impacted by the time step of the in situ logging (3 h) and the non-linear heating of the surface. In addition, for the different study sites different biases were observed as a result of the spatial resolution of the TIRS, depending on the composition, structure, geomorphology, and the surroundings of the logger position. Sites on a narrow rock outcrop (e.g. the Perlebandet and Utsteinen nunataks) show a negative bias due to the surrounding ice fields decreasing the satellite pixel average ... Article in Journal/Newspaper Antarc* Antarctic Antarctica East Antarctica Ice Sheet Ghent University Academic Bibliography Antarctic East Antarctica Perlebandet ENVELOPE(23.033,23.033,-71.917,-71.917) Pleiades ENVELOPE(165.533,165.533,-72.700,-72.700) Sor Rondane Mountains ENVELOPE(25.000,25.000,-72.000,-72.000) Sor-Rondane ENVELOPE(25.000,25.000,-72.000,-72.000) The Antarctic Utsteinen ENVELOPE(23.342,23.342,-71.955,-71.955) Remote Sensing Applications: Society and Environment 23 100529 |
institution |
Open Polar |
collection |
Ghent University Academic Bibliography |
op_collection_id |
ftunivgent |
language |
English |
topic |
Biology and Life Sciences DIGITAL ELEVATION MODEL LANDSAT ICE SURFACE AREA RADIATION ECOSYSTEMS THICKNESS IMAGERY SYSTEM Antarctica Ice-free regions Digital surface model Land surface temperature Pleiades Landsat 8 |
spellingShingle |
Biology and Life Sciences DIGITAL ELEVATION MODEL LANDSAT ICE SURFACE AREA RADIATION ECOSYSTEMS THICKNESS IMAGERY SYSTEM Antarctica Ice-free regions Digital surface model Land surface temperature Pleiades Landsat 8 Vanhellemont, Quinten Lambrechts, Sam Savaglia, Valentina Tytgat, Bjorn Verleyen, Elie Vyverman, Wim Towards physical habitat characterisation in the Antarctic Sor Rondane Mountains using satellite remote sensing |
topic_facet |
Biology and Life Sciences DIGITAL ELEVATION MODEL LANDSAT ICE SURFACE AREA RADIATION ECOSYSTEMS THICKNESS IMAGERY SYSTEM Antarctica Ice-free regions Digital surface model Land surface temperature Pleiades Landsat 8 |
description |
Ice-free areas occupy less than 0.25% of the Antarctic surface, and mainly occur along coastlines, or as inland nunataks protruding from the extensive ice sheet. Their extreme environment and geographical isolation have contributed to the evolution of highly adapted, and largely endemic terrestrial biota. Physical habitat mapping is important to identify the main drivers of spatial variation in soil biodiversity, to predict its response to climate change and to help conservation planning. In this paper we retrieved remotely sensed Land Surface Temperature (LST) and Digital Surface Models (DSM) for the Sor Rondane Mountains in East Antarctica from respectively the Thermal InfraRed Sensor (TIRS) on Landsat 8 and the Pl eiades constellation of high resolution optical imagers. Satellite data were combined with ground truth temperature and elevation measurements with the aim to assess the performance of these remotely sensed data. Over a 2 year period, satellite derived LST corresponded to in situ temperature with Mean Average Difference (MAD) of 2.5 K, and Root Mean Squared Difference (RMSD) of - 6.3 K. Lower biases were observed for periods when the data loggers were frozen or snow covered (MAD 1.8K) compared to intervals where the devices were not frozen (MAD 4 K), with larger scatter (RMSD 7 K) being observed during the latter. These larger MAD and RMSD are caused by the differential heating of the top of the gravel/rocks as observed by the satellite compared to their underside, where the loggers were installed, and are also impacted by the time step of the in situ logging (3 h) and the non-linear heating of the surface. In addition, for the different study sites different biases were observed as a result of the spatial resolution of the TIRS, depending on the composition, structure, geomorphology, and the surroundings of the logger position. Sites on a narrow rock outcrop (e.g. the Perlebandet and Utsteinen nunataks) show a negative bias due to the surrounding ice fields decreasing the satellite pixel average ... |
format |
Article in Journal/Newspaper |
author |
Vanhellemont, Quinten Lambrechts, Sam Savaglia, Valentina Tytgat, Bjorn Verleyen, Elie Vyverman, Wim |
author_facet |
Vanhellemont, Quinten Lambrechts, Sam Savaglia, Valentina Tytgat, Bjorn Verleyen, Elie Vyverman, Wim |
author_sort |
Vanhellemont, Quinten |
title |
Towards physical habitat characterisation in the Antarctic Sor Rondane Mountains using satellite remote sensing |
title_short |
Towards physical habitat characterisation in the Antarctic Sor Rondane Mountains using satellite remote sensing |
title_full |
Towards physical habitat characterisation in the Antarctic Sor Rondane Mountains using satellite remote sensing |
title_fullStr |
Towards physical habitat characterisation in the Antarctic Sor Rondane Mountains using satellite remote sensing |
title_full_unstemmed |
Towards physical habitat characterisation in the Antarctic Sor Rondane Mountains using satellite remote sensing |
title_sort |
towards physical habitat characterisation in the antarctic sor rondane mountains using satellite remote sensing |
publishDate |
2021 |
url |
https://biblio.ugent.be/publication/8734916 http://hdl.handle.net/1854/LU-8734916 https://doi.org/10.1016/j.rsase.2021.100529 https://biblio.ugent.be/publication/8734916/file/8750002 |
long_lat |
ENVELOPE(23.033,23.033,-71.917,-71.917) ENVELOPE(165.533,165.533,-72.700,-72.700) ENVELOPE(25.000,25.000,-72.000,-72.000) ENVELOPE(25.000,25.000,-72.000,-72.000) ENVELOPE(23.342,23.342,-71.955,-71.955) |
geographic |
Antarctic East Antarctica Perlebandet Pleiades Sor Rondane Mountains Sor-Rondane The Antarctic Utsteinen |
geographic_facet |
Antarctic East Antarctica Perlebandet Pleiades Sor Rondane Mountains Sor-Rondane The Antarctic Utsteinen |
genre |
Antarc* Antarctic Antarctica East Antarctica Ice Sheet |
genre_facet |
Antarc* Antarctic Antarctica East Antarctica Ice Sheet |
op_source |
REMOTE SENSING APPLICATIONS-SOCIETY AND ENVIRONMENT ISSN: 2352-9385 |
op_relation |
https://biblio.ugent.be/publication/8734916 http://hdl.handle.net/1854/LU-8734916 http://dx.doi.org/10.1016/j.rsase.2021.100529 https://biblio.ugent.be/publication/8734916/file/8750002 |
op_rights |
Creative Commons Attribution 4.0 International Public License (CC-BY 4.0) info:eu-repo/semantics/openAccess |
op_doi |
https://doi.org/10.1016/j.rsase.2021.100529 |
container_title |
Remote Sensing Applications: Society and Environment |
container_volume |
23 |
container_start_page |
100529 |
_version_ |
1768378003066191872 |