Mapping lichen distribution on the Antarctic Peninsula using remote sensing, lichen spectra and photographic documentation by citizen scientists
On the Antarctic Peninsula, lichens are the most diverse botanical component of the terrestrial ecosystem. However, detailed information on the distribution of lichens on the Antarctic Peninsula region is scarce, and the data available exhibit significant heterogeneity in sampling frequency and effo...
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Norwegian Polar Institute
2015
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Online Access: | https://doi.org/10.3402/polar.v34.25633 https://doaj.org/article/ed522b74e67c42a5b91da71a677e9d3c |
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fttriple:oai:gotriple.eu:oai:doaj.org/article:ed522b74e67c42a5b91da71a677e9d3c 2023-05-15T13:43:52+02:00 Mapping lichen distribution on the Antarctic Peninsula using remote sensing, lichen spectra and photographic documentation by citizen scientists Paula Casanovas Martin Black Peter Fretwell Peter Convey 2015-10-01 https://doi.org/10.3402/polar.v34.25633 https://doaj.org/article/ed522b74e67c42a5b91da71a677e9d3c en eng Norwegian Polar Institute 1751-8369 doi:10.3402/polar.v34.25633 https://doaj.org/article/ed522b74e67c42a5b91da71a677e9d3c undefined Polar Research, Vol 34, Iss 0, Pp 1-8 (2015) Antarctica NDVI matched filtering Landsat remote sensing geo envir Journal Article https://vocabularies.coar-repositories.org/resource_types/c_6501/ 2015 fttriple https://doi.org/10.3402/polar.v34.25633 2023-01-22T17:06:59Z On the Antarctic Peninsula, lichens are the most diverse botanical component of the terrestrial ecosystem. However, detailed information on the distribution of lichens on the Antarctic Peninsula region is scarce, and the data available exhibit significant heterogeneity in sampling frequency and effort. Satellite remote sensing, in particular the use of the Normalized Difference Vegetation Index (NDVI), has facilitated determination of vegetation richness and cover distribution in some remote and otherwise inaccessible environments. However, it is known that using NDVI for the detection of vegetation can overlook the presence of lichens even if their land cover is extensive. We tested the use of known spectra of lichens in a matched filtering technique for the detection and mapping of lichen-covered land from remote sensing imagery on the Antarctic Peninsula, using data on lichen presence collected by citizen scientists and other non-specialists as ground truthing. Our results confirm that the use of this approach allows for the detection of lichen flora on the Antarctic Peninsula, showing an improvement over the use of NDVI alone for the mapping of flora in this area. Article in Journal/Newspaper Antarc* Antarctic Antarctic Peninsula Antarctica Polar Research Unknown Antarctic Antarctic Peninsula The Antarctic Polar Research 34 1 25633 |
institution |
Open Polar |
collection |
Unknown |
op_collection_id |
fttriple |
language |
English |
topic |
Antarctica NDVI matched filtering Landsat remote sensing geo envir |
spellingShingle |
Antarctica NDVI matched filtering Landsat remote sensing geo envir Paula Casanovas Martin Black Peter Fretwell Peter Convey Mapping lichen distribution on the Antarctic Peninsula using remote sensing, lichen spectra and photographic documentation by citizen scientists |
topic_facet |
Antarctica NDVI matched filtering Landsat remote sensing geo envir |
description |
On the Antarctic Peninsula, lichens are the most diverse botanical component of the terrestrial ecosystem. However, detailed information on the distribution of lichens on the Antarctic Peninsula region is scarce, and the data available exhibit significant heterogeneity in sampling frequency and effort. Satellite remote sensing, in particular the use of the Normalized Difference Vegetation Index (NDVI), has facilitated determination of vegetation richness and cover distribution in some remote and otherwise inaccessible environments. However, it is known that using NDVI for the detection of vegetation can overlook the presence of lichens even if their land cover is extensive. We tested the use of known spectra of lichens in a matched filtering technique for the detection and mapping of lichen-covered land from remote sensing imagery on the Antarctic Peninsula, using data on lichen presence collected by citizen scientists and other non-specialists as ground truthing. Our results confirm that the use of this approach allows for the detection of lichen flora on the Antarctic Peninsula, showing an improvement over the use of NDVI alone for the mapping of flora in this area. |
format |
Article in Journal/Newspaper |
author |
Paula Casanovas Martin Black Peter Fretwell Peter Convey |
author_facet |
Paula Casanovas Martin Black Peter Fretwell Peter Convey |
author_sort |
Paula Casanovas |
title |
Mapping lichen distribution on the Antarctic Peninsula using remote sensing, lichen spectra and photographic documentation by citizen scientists |
title_short |
Mapping lichen distribution on the Antarctic Peninsula using remote sensing, lichen spectra and photographic documentation by citizen scientists |
title_full |
Mapping lichen distribution on the Antarctic Peninsula using remote sensing, lichen spectra and photographic documentation by citizen scientists |
title_fullStr |
Mapping lichen distribution on the Antarctic Peninsula using remote sensing, lichen spectra and photographic documentation by citizen scientists |
title_full_unstemmed |
Mapping lichen distribution on the Antarctic Peninsula using remote sensing, lichen spectra and photographic documentation by citizen scientists |
title_sort |
mapping lichen distribution on the antarctic peninsula using remote sensing, lichen spectra and photographic documentation by citizen scientists |
publisher |
Norwegian Polar Institute |
publishDate |
2015 |
url |
https://doi.org/10.3402/polar.v34.25633 https://doaj.org/article/ed522b74e67c42a5b91da71a677e9d3c |
geographic |
Antarctic Antarctic Peninsula The Antarctic |
geographic_facet |
Antarctic Antarctic Peninsula The Antarctic |
genre |
Antarc* Antarctic Antarctic Peninsula Antarctica Polar Research |
genre_facet |
Antarc* Antarctic Antarctic Peninsula Antarctica Polar Research |
op_source |
Polar Research, Vol 34, Iss 0, Pp 1-8 (2015) |
op_relation |
1751-8369 doi:10.3402/polar.v34.25633 https://doaj.org/article/ed522b74e67c42a5b91da71a677e9d3c |
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undefined |
op_doi |
https://doi.org/10.3402/polar.v34.25633 |
container_title |
Polar Research |
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34 |
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1 |
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25633 |
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1766194602801364992 |