Skip navigation

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

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

Williams, Meredith ORCID: 0000-0003-1919-4389 and Dowdeswell, Julian A. (1998) Mapping seabird nesting habitats in Franz Josef Land, Russian High Arctic, using digital Landsat Thematic Mapper imagery. Polar Research, 17 (1). pp. 15-30. ISSN 0800-0395 (Print), 1751-8369 (Online)

[img] PDF (Copyright - Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0))
polarresearch.pdf - Published Version
Restricted to Registered users only
Available under License Creative Commons Attribution Non-commercial.

Download (2MB)

Abstract

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.

Item Type: Article
Uncontrolled Keywords: seabird, habitat, remote sensing, arctic, satellite, Landsat
Subjects: G Geography. Anthropology. Recreation > GA Mathematical geography. Cartography
G Geography. Anthropology. Recreation > GC Oceanography
Faculty / School / Research Centre / Research Group: Faculty of Engineering & Science > School of Science (SCI)
Related URLs:
Last Modified: 27 Sep 2019 12:46
URI: http://gala.gre.ac.uk/id/eprint/7165

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics