Mapping seabird nesting habitats in Franz Josef Land, Russian High Arctic, using digital Landsat Thematic Mapper imagery

Supervised classification of digital Landsat satellite images was used to locate seabird nesting habitats in the Russian High Arctic archipelago of Franz Josef Land, a region where the avifauna is poorly known and ecologically vulnerable. Major seabird nesting colonies are readily identifiable in La...

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Published in:Polar Research
Main Authors: Williams, Meredith, Dowdeswell, Julian A.
Format: Article in Journal/Newspaper
Language:English
Published: Norwegian Polar Institute 1998
Subjects:
Online Access:https://polarresearch.net/index.php/polar/article/view/2260
https://doi.org/10.3402/polar.v17i1.6604
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spelling ftjpolarres:oai:journals.openacademia.net:article/2260 2023-05-15T14:28:52+02:00 Mapping seabird nesting habitats in Franz Josef Land, Russian High Arctic, using digital Landsat Thematic Mapper imagery Williams, Meredith Dowdeswell, Julian A. 1998-01-06 application/pdf https://polarresearch.net/index.php/polar/article/view/2260 https://doi.org/10.3402/polar.v17i1.6604 eng eng Norwegian Polar Institute https://polarresearch.net/index.php/polar/article/view/2260/5511 https://polarresearch.net/index.php/polar/article/view/2260 doi:10.3402/polar.v17i1.6604 Copyright (c) 2018 Polar Research Polar Research; Vol. 17 No. 1 (1998); 15-30 1751-8369 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion 1998 ftjpolarres https://doi.org/10.3402/polar.v17i1.6604 2021-11-11T19:12:21Z Supervised classification of digital Landsat satellite images was used to locate seabird nesting habitats in the Russian High Arctic archipelago of Franz Josef Land, a region where the avifauna is poorly known and ecologically vulnerable. Major seabird nesting colonies are readily identifiable in Landsat Thematic Mapper (TM) imagery of the region due primarily to the distinctive spectral signature of vegetation on ornithogenically altered soils below bird cliffs. Supervised image classification was used to pinpoint areas displaying spectral characteristics typical of documented seabird nesting habitats. A total of 101 seabird nesting colony locations identified in Russian and Western literature from 1898 to 1996 was used as training sites to develop spectral signatures from a summer TM image mosaic for use in a supervised maximum likelihood classification. The classified image was thresholded and compared to a map of documented nesting locations. Of the 101 field-documented nesting sites, 96 were clearly identified in the classified image. An inventory was produced of all undocumented seabird habitats suggested by the classification, totalling over 300 sites. The methodology used may be applicable to other arctic regions and is intended as a first step when planning ecological protection zones in remote and inaccessible arctic regions. Article in Journal/Newspaper Arctic Archipelago Arctic Franz Josef Land Polar Research Polar Research (E-Journal) Arctic Franz Josef Land ENVELOPE(55.000,55.000,81.000,81.000) Polar Research 17 1 15 30
institution Open Polar
collection Polar Research (E-Journal)
op_collection_id ftjpolarres
language English
description Supervised classification of digital Landsat satellite images was used to locate seabird nesting habitats in the Russian High Arctic archipelago of Franz Josef Land, a region where the avifauna is poorly known and ecologically vulnerable. Major seabird nesting colonies are readily identifiable in Landsat Thematic Mapper (TM) imagery of the region due primarily to the distinctive spectral signature of vegetation on ornithogenically altered soils below bird cliffs. Supervised image classification was used to pinpoint areas displaying spectral characteristics typical of documented seabird nesting habitats. A total of 101 seabird nesting colony locations identified in Russian and Western literature from 1898 to 1996 was used as training sites to develop spectral signatures from a summer TM image mosaic for use in a supervised maximum likelihood classification. The classified image was thresholded and compared to a map of documented nesting locations. Of the 101 field-documented nesting sites, 96 were clearly identified in the classified image. An inventory was produced of all undocumented seabird habitats suggested by the classification, totalling over 300 sites. The methodology used may be applicable to other arctic regions and is intended as a first step when planning ecological protection zones in remote and inaccessible arctic regions.
format Article in Journal/Newspaper
author Williams, Meredith
Dowdeswell, Julian A.
spellingShingle Williams, Meredith
Dowdeswell, Julian A.
Mapping seabird nesting habitats in Franz Josef Land, Russian High Arctic, using digital Landsat Thematic Mapper imagery
author_facet Williams, Meredith
Dowdeswell, Julian A.
author_sort Williams, Meredith
title Mapping seabird nesting habitats in Franz Josef Land, Russian High Arctic, using digital Landsat Thematic Mapper imagery
title_short Mapping seabird nesting habitats in Franz Josef Land, Russian High Arctic, using digital Landsat Thematic Mapper imagery
title_full Mapping seabird nesting habitats in Franz Josef Land, Russian High Arctic, using digital Landsat Thematic Mapper imagery
title_fullStr Mapping seabird nesting habitats in Franz Josef Land, Russian High Arctic, using digital Landsat Thematic Mapper imagery
title_full_unstemmed Mapping seabird nesting habitats in Franz Josef Land, Russian High Arctic, using digital Landsat Thematic Mapper imagery
title_sort mapping seabird nesting habitats in franz josef land, russian high arctic, using digital landsat thematic mapper imagery
publisher Norwegian Polar Institute
publishDate 1998
url https://polarresearch.net/index.php/polar/article/view/2260
https://doi.org/10.3402/polar.v17i1.6604
long_lat ENVELOPE(55.000,55.000,81.000,81.000)
geographic Arctic
Franz Josef Land
geographic_facet Arctic
Franz Josef Land
genre Arctic Archipelago
Arctic
Franz Josef Land
Polar Research
genre_facet Arctic Archipelago
Arctic
Franz Josef Land
Polar Research
op_source Polar Research; Vol. 17 No. 1 (1998); 15-30
1751-8369
op_relation https://polarresearch.net/index.php/polar/article/view/2260/5511
https://polarresearch.net/index.php/polar/article/view/2260
doi:10.3402/polar.v17i1.6604
op_rights Copyright (c) 2018 Polar Research
op_doi https://doi.org/10.3402/polar.v17i1.6604
container_title Polar Research
container_volume 17
container_issue 1
container_start_page 15
op_container_end_page 30
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