KOPRI Repository

Vegetation abundance on the Barton Peninsula, Antarctica: Estimation from highresolutionsatellite images

Cited 19 time in wos
Cited 24 time in scopus
Title
Vegetation abundance on the Barton Peninsula, Antarctica: Estimation from highresolutionsatellite images
Authors
Shin, Jung-Il
Kim, Hyun-cheol
Kim, Sang-Il
Hong, Soon Gyu
Subject
Biodiversity & ConservationEnvironmental Sciences & Ecology
Keywords
AbundanceVegetationAntarcticaSatelliteSpectral mixture analysis
Issue Date
2014
Citation
Shin, Jung-Il, et al. 2014. "Vegetation abundance on the Barton Peninsula, Antarctica: Estimation from highresolutionsatellite images". Polar Biol, 37: 1579-1588.
Abstract
Polar biodiversity should be monitored as an indicator of climate change. Biodiversity is mainly observed by field survey although this is very limited in broad inaccessible polar regions. Satellite imagery may provide valuable data with less bias, although spatial, spectral, and temporal resolutions are limited for analyzing biodiversity. The present study has two objectives. The first is constructing a first-ever vegetation map of the entire Barton Peninsula, Antarctica. The second is developing a monitoring method for long-term variation of vegetation, based on satellite images. Dominant mosses and lichens are distributed in small and sparse patches, which are limited to analysis using high-resolution satellite images. A subpixel classification method, spectral mixture analysis, is applied to overcome limited spatial resolution. As a result, vegetation shows high abundance along the southeastern shore and low-to-medium abundance in the nearly snowfree inland area. Even though spatial patterns of vegetation were almost invariant over 6 years, there was interannual variation in abundance aspects because of meteorological conditions. Therefore, extensive and long-term monitoring is needed for aspects of distribution and abundance. The present results can be used to design field surveys and monitor long-term variation as elementary data.
DOI
http://dx.doi.org/10.1007/s00300-014-1543-5
Type
Article
Appears in Collections  
2014-2016, Long-Term Ecological Researches on King George Island to Predict Ecosystem Responses to Climate Change (14-16) / Hong; Soon Gyu (PE14020; PE15020; PE16020)
Files in This Item

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

Browse