Detecting and mapping vegetation distribution on the Antarctic Peninsula from remote sensing data

We present the first regional map of vegetation of anywhere on the Antarctic continent based on remote sensing (RS) data. We have used a normalized difference vegetation index (NDVI) for the examination of Landsat ETM data on the Antarctic Peninsula. The results show that 44.6 km2 (0.086%) of the st...

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Published in:Polar Biology
Main Authors: Fretwell, Peter T., Convey, Peter, Fleming, Andrew H., Peat, Helen J., Hughes, Kevin A.
Format: Article in Journal/Newspaper
Language:unknown
Published: Springer-Verlag 2011
Subjects:
Online Access:http://nora.nerc.ac.uk/id/eprint/14046/
id ftnerc:oai:nora.nerc.ac.uk:14046
record_format openpolar
spelling ftnerc:oai:nora.nerc.ac.uk:14046 2023-05-15T13:45:11+02:00 Detecting and mapping vegetation distribution on the Antarctic Peninsula from remote sensing data Fretwell, Peter T. Convey, Peter Fleming, Andrew H. Peat, Helen J. Hughes, Kevin A. 2011 http://nora.nerc.ac.uk/id/eprint/14046/ unknown Springer-Verlag Fretwell, Peter T. orcid:0000-0002-1988-5844 Convey, Peter orcid:0000-0001-8497-9903 Fleming, Andrew H. orcid:0000-0002-0143-4527 Peat, Helen J. orcid:0000-0003-2017-8597 Hughes, Kevin A. orcid:0000-0003-2701-726X . 2011 Detecting and mapping vegetation distribution on the Antarctic Peninsula from remote sensing data. Polar Biology, 34 (2). 273-281. https://doi.org/10.1007/s00300-010-0880-2 <https://doi.org/10.1007/s00300-010-0880-2> Botany Meteorology and Climatology Data and Information Publication - Article PeerReviewed 2011 ftnerc https://doi.org/10.1007/s00300-010-0880-2 2023-02-04T19:28:57Z We present the first regional map of vegetation of anywhere on the Antarctic continent based on remote sensing (RS) data. We have used a normalized difference vegetation index (NDVI) for the examination of Landsat ETM data on the Antarctic Peninsula. The results show that 44.6 km2 (0.086%) of the study area (74,468 km2) is classed with a probability of vegetation of over 50%. The NDVI analysis is ground-truthed against vegetation surveys in Ryder Bay on the Antarctic Peninsula, and the results have been corrected for several factors influencing low NDVI readings in this environment. This methodology has been applied to 13 Landsat scenes covering Graham Land in the Northern part of the Antarctic Peninsula to examine the distribution of vegetation in the region. The Antarctic Peninsula region is important, as it has shown rapid warming of over 3°C during the past 50 years, and predictions indicate accelerated future warming. A baseline survey of the amount and distribution of vegetation is required against which to monitor future change. The results give a comprehensive coverage and allow us to present the first remote sensing-based vegetation map in Antarctica. However, initial results point to the need for further investigation of apparent errors resulting from geology on bare ground. Article in Journal/Newspaper Antarc* Antarctic Antarctic Peninsula Antarctica Graham Land Polar Biology Natural Environment Research Council: NERC Open Research Archive Antarctic The Antarctic Antarctic Peninsula Graham Land ENVELOPE(-63.500,-63.500,-66.000,-66.000) Ryder ENVELOPE(-68.333,-68.333,-67.566,-67.566) Ryder Bay ENVELOPE(-68.333,-68.333,-67.567,-67.567) Polar Biology 34 2 273 281
institution Open Polar
collection Natural Environment Research Council: NERC Open Research Archive
op_collection_id ftnerc
language unknown
topic Botany
Meteorology and Climatology
Data and Information
spellingShingle Botany
Meteorology and Climatology
Data and Information
Fretwell, Peter T.
Convey, Peter
Fleming, Andrew H.
Peat, Helen J.
Hughes, Kevin A.
Detecting and mapping vegetation distribution on the Antarctic Peninsula from remote sensing data
topic_facet Botany
Meteorology and Climatology
Data and Information
description We present the first regional map of vegetation of anywhere on the Antarctic continent based on remote sensing (RS) data. We have used a normalized difference vegetation index (NDVI) for the examination of Landsat ETM data on the Antarctic Peninsula. The results show that 44.6 km2 (0.086%) of the study area (74,468 km2) is classed with a probability of vegetation of over 50%. The NDVI analysis is ground-truthed against vegetation surveys in Ryder Bay on the Antarctic Peninsula, and the results have been corrected for several factors influencing low NDVI readings in this environment. This methodology has been applied to 13 Landsat scenes covering Graham Land in the Northern part of the Antarctic Peninsula to examine the distribution of vegetation in the region. The Antarctic Peninsula region is important, as it has shown rapid warming of over 3°C during the past 50 years, and predictions indicate accelerated future warming. A baseline survey of the amount and distribution of vegetation is required against which to monitor future change. The results give a comprehensive coverage and allow us to present the first remote sensing-based vegetation map in Antarctica. However, initial results point to the need for further investigation of apparent errors resulting from geology on bare ground.
format Article in Journal/Newspaper
author Fretwell, Peter T.
Convey, Peter
Fleming, Andrew H.
Peat, Helen J.
Hughes, Kevin A.
author_facet Fretwell, Peter T.
Convey, Peter
Fleming, Andrew H.
Peat, Helen J.
Hughes, Kevin A.
author_sort Fretwell, Peter T.
title Detecting and mapping vegetation distribution on the Antarctic Peninsula from remote sensing data
title_short Detecting and mapping vegetation distribution on the Antarctic Peninsula from remote sensing data
title_full Detecting and mapping vegetation distribution on the Antarctic Peninsula from remote sensing data
title_fullStr Detecting and mapping vegetation distribution on the Antarctic Peninsula from remote sensing data
title_full_unstemmed Detecting and mapping vegetation distribution on the Antarctic Peninsula from remote sensing data
title_sort detecting and mapping vegetation distribution on the antarctic peninsula from remote sensing data
publisher Springer-Verlag
publishDate 2011
url http://nora.nerc.ac.uk/id/eprint/14046/
long_lat ENVELOPE(-63.500,-63.500,-66.000,-66.000)
ENVELOPE(-68.333,-68.333,-67.566,-67.566)
ENVELOPE(-68.333,-68.333,-67.567,-67.567)
geographic Antarctic
The Antarctic
Antarctic Peninsula
Graham Land
Ryder
Ryder Bay
geographic_facet Antarctic
The Antarctic
Antarctic Peninsula
Graham Land
Ryder
Ryder Bay
genre Antarc*
Antarctic
Antarctic Peninsula
Antarctica
Graham Land
Polar Biology
genre_facet Antarc*
Antarctic
Antarctic Peninsula
Antarctica
Graham Land
Polar Biology
op_relation Fretwell, Peter T. orcid:0000-0002-1988-5844
Convey, Peter orcid:0000-0001-8497-9903
Fleming, Andrew H. orcid:0000-0002-0143-4527
Peat, Helen J. orcid:0000-0003-2017-8597
Hughes, Kevin A. orcid:0000-0003-2701-726X . 2011 Detecting and mapping vegetation distribution on the Antarctic Peninsula from remote sensing data. Polar Biology, 34 (2). 273-281. https://doi.org/10.1007/s00300-010-0880-2 <https://doi.org/10.1007/s00300-010-0880-2>
op_doi https://doi.org/10.1007/s00300-010-0880-2
container_title Polar Biology
container_volume 34
container_issue 2
container_start_page 273
op_container_end_page 281
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