A proxy for snow cover and winter ground surface cooling: mapping Usnea sp. communities using high resolution remote sensing imagery (Maritime Antarctica)
Usnea sp. formations show a spatial distribution coinciding with wind-exposed locations on rock knobs or sedimentary bodies, while they are commonly absent from concave sites. Field collection of georeferenced ground truthing data in the Meseta Norte (Fildes Peninsula, Maritime Antarctica) and the a...
Published in: | Geomorphology |
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Format: | Article in Journal/Newspaper |
Language: | English |
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2017
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Online Access: | http://hdl.handle.net/10451/28320 https://doi.org/10.1016/j.geomorph.2014.03.049 |
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ftunivlisboa:oai:repositorio.ul.pt:10451/28320 2023-05-15T13:37:33+02:00 A proxy for snow cover and winter ground surface cooling: mapping Usnea sp. communities using high resolution remote sensing imagery (Maritime Antarctica) Vieira, Goncalo Mora, Carla Pina, Pedro Schaefer, Carlos E.R. 2017-07-12T11:34:58Z http://hdl.handle.net/10451/28320 https://doi.org/10.1016/j.geomorph.2014.03.049 eng eng Elsevier 0169-555X 1872-695X http://hdl.handle.net/10451/28320 doi:10.1016/j.geomorph.2014.03.049 closedAccess Permafrost Bioindicators Snow cover Ground surface cooling Fildes Peninsula Antarctica article 2017 ftunivlisboa https://doi.org/10.1016/j.geomorph.2014.03.049 2022-05-25T18:37:00Z Usnea sp. formations show a spatial distribution coinciding with wind-exposed locations on rock knobs or sedimentary bodies, while they are commonly absent from concave sites. Field collection of georeferenced ground truthing data in the Meseta Norte (Fildes Peninsula, Maritime Antarctica) and the application of supervised classification techniques over a summer high resolution QuickBird satellite scene showed excellent classification accuracy for the different landcover types. The results show that Usnea formation distribution maps are a viable proxy for areas with less snow during the cold season. Such an approach provides input for permafrost and active layer modelling since snow acts as a critical control on ground surface heat balance. Since snow mapping is extremely difficult in Maritime Antarctica our tested approach provides important added-value for empirical–statistical modelling of permafrost distribution. info:eu-repo/semantics/publishedVersion Article in Journal/Newspaper Antarc* Antarctica permafrost Universidade de Lisboa: repositório.UL Fildes ENVELOPE(-58.817,-58.817,-62.217,-62.217) Fildes peninsula ENVELOPE(-58.948,-58.948,-62.182,-62.182) Geomorphology 225 69 75 |
institution |
Open Polar |
collection |
Universidade de Lisboa: repositório.UL |
op_collection_id |
ftunivlisboa |
language |
English |
topic |
Permafrost Bioindicators Snow cover Ground surface cooling Fildes Peninsula Antarctica |
spellingShingle |
Permafrost Bioindicators Snow cover Ground surface cooling Fildes Peninsula Antarctica Vieira, Goncalo Mora, Carla Pina, Pedro Schaefer, Carlos E.R. A proxy for snow cover and winter ground surface cooling: mapping Usnea sp. communities using high resolution remote sensing imagery (Maritime Antarctica) |
topic_facet |
Permafrost Bioindicators Snow cover Ground surface cooling Fildes Peninsula Antarctica |
description |
Usnea sp. formations show a spatial distribution coinciding with wind-exposed locations on rock knobs or sedimentary bodies, while they are commonly absent from concave sites. Field collection of georeferenced ground truthing data in the Meseta Norte (Fildes Peninsula, Maritime Antarctica) and the application of supervised classification techniques over a summer high resolution QuickBird satellite scene showed excellent classification accuracy for the different landcover types. The results show that Usnea formation distribution maps are a viable proxy for areas with less snow during the cold season. Such an approach provides input for permafrost and active layer modelling since snow acts as a critical control on ground surface heat balance. Since snow mapping is extremely difficult in Maritime Antarctica our tested approach provides important added-value for empirical–statistical modelling of permafrost distribution. info:eu-repo/semantics/publishedVersion |
format |
Article in Journal/Newspaper |
author |
Vieira, Goncalo Mora, Carla Pina, Pedro Schaefer, Carlos E.R. |
author_facet |
Vieira, Goncalo Mora, Carla Pina, Pedro Schaefer, Carlos E.R. |
author_sort |
Vieira, Goncalo |
title |
A proxy for snow cover and winter ground surface cooling: mapping Usnea sp. communities using high resolution remote sensing imagery (Maritime Antarctica) |
title_short |
A proxy for snow cover and winter ground surface cooling: mapping Usnea sp. communities using high resolution remote sensing imagery (Maritime Antarctica) |
title_full |
A proxy for snow cover and winter ground surface cooling: mapping Usnea sp. communities using high resolution remote sensing imagery (Maritime Antarctica) |
title_fullStr |
A proxy for snow cover and winter ground surface cooling: mapping Usnea sp. communities using high resolution remote sensing imagery (Maritime Antarctica) |
title_full_unstemmed |
A proxy for snow cover and winter ground surface cooling: mapping Usnea sp. communities using high resolution remote sensing imagery (Maritime Antarctica) |
title_sort |
proxy for snow cover and winter ground surface cooling: mapping usnea sp. communities using high resolution remote sensing imagery (maritime antarctica) |
publisher |
Elsevier |
publishDate |
2017 |
url |
http://hdl.handle.net/10451/28320 https://doi.org/10.1016/j.geomorph.2014.03.049 |
long_lat |
ENVELOPE(-58.817,-58.817,-62.217,-62.217) ENVELOPE(-58.948,-58.948,-62.182,-62.182) |
geographic |
Fildes Fildes peninsula |
geographic_facet |
Fildes Fildes peninsula |
genre |
Antarc* Antarctica permafrost |
genre_facet |
Antarc* Antarctica permafrost |
op_relation |
0169-555X 1872-695X http://hdl.handle.net/10451/28320 doi:10.1016/j.geomorph.2014.03.049 |
op_rights |
closedAccess |
op_doi |
https://doi.org/10.1016/j.geomorph.2014.03.049 |
container_title |
Geomorphology |
container_volume |
225 |
container_start_page |
69 |
op_container_end_page |
75 |
_version_ |
1766093821285761024 |