Vegetation Abundance and Health Mapping Over Southwestern Antarctica Based on WorldView-2 Data and a Modified Spectral Mixture Analysis

In polar regions, vegetation is especially sensitive to climate dynamics and thus can be used as an indicator of the global and regional environmental change. However, in Antarctica, there is very little information on vegetation distribution and growth status. To fill this gap, we evaluated the abi...

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Published in:Remote Sensing
Main Authors: Xiaohui Sun, Wenjin Wu, Xinwu Li, Xiyan Xu, Jinfeng Li
Format: Article in Journal/Newspaper
Language:English
Published: MDPI AG 2021
Subjects:
Q
Online Access:https://doi.org/10.3390/rs13020166
https://doaj.org/article/52053930a8be475ca1bfbf6e8ad1c3ae
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spelling ftdoajarticles:oai:doaj.org/article:52053930a8be475ca1bfbf6e8ad1c3ae 2024-01-07T09:40:02+01:00 Vegetation Abundance and Health Mapping Over Southwestern Antarctica Based on WorldView-2 Data and a Modified Spectral Mixture Analysis Xiaohui Sun Wenjin Wu Xinwu Li Xiyan Xu Jinfeng Li 2021-01-01T00:00:00Z https://doi.org/10.3390/rs13020166 https://doaj.org/article/52053930a8be475ca1bfbf6e8ad1c3ae EN eng MDPI AG https://www.mdpi.com/2072-4292/13/2/166 https://doaj.org/toc/2072-4292 doi:10.3390/rs13020166 2072-4292 https://doaj.org/article/52053930a8be475ca1bfbf6e8ad1c3ae Remote Sensing, Vol 13, Iss 2, p 166 (2021) Antarctica vegetation abundance WorldView-2 spectral mixture analysis moss health evaluation Science Q article 2021 ftdoajarticles https://doi.org/10.3390/rs13020166 2023-12-10T01:48:36Z In polar regions, vegetation is especially sensitive to climate dynamics and thus can be used as an indicator of the global and regional environmental change. However, in Antarctica, there is very little information on vegetation distribution and growth status. To fill this gap, we evaluated the ability of both linear and nonlinear spectral mixture analysis (SMA) models, including a group of newly developed modified Nascimento’s models for Antarctic vegetated areas (MNM-AVs), in estimating the abundance of major Antarctic vegetation types, i.e., mosses and lichens. The study was conducted using WorldView-2 satellite data and field measurements over the Fildes Peninsula and its surroundings, which are representative vegetated areas in Antarctica. In MNM-AVs, we introduced secondary scattering components for vegetation and its background to account for the sparsity of vegetation cover and reassigned their coefficients. The new models achieved improved performances, among which MNM-AV3 achieved the lowest error for mosses (lichens) abundance estimation with RMSE = 0.202 (0.213). Compared with MNM-AVs, the linear model performed particularly poor for lichens (RMSE = 0.322), which is in contrast to the case of mosses (RMSE = 0.212), demonstrating that spectral signals of lichens are more prone to mix with their backgrounds. Abundance maps of mosses and lichens, as well as a map of moss health status for the entire study area, were then obtained based on MNM-AV3 with around 80% overall accuracy. Moss areas account for 0.7695 km 2 in Fildes and 0.3259 km 2 in Ardley Island; unhealthy mosses amounted to 40% (49%) of the area in the summer of 2018 (2019), indicating considerable environmental stress. Article in Journal/Newspaper Antarc* Antarctic Antarctica Ardley Island Directory of Open Access Journals: DOAJ Articles Antarctic Ardley ENVELOPE(-58.953,-58.953,-62.201,-62.201) Ardley Island ENVELOPE(-58.933,-58.933,-62.213,-62.213) Fildes ENVELOPE(-58.817,-58.817,-62.217,-62.217) Fildes peninsula ENVELOPE(-58.948,-58.948,-62.182,-62.182) Remote Sensing 13 2 166
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic Antarctica
vegetation abundance
WorldView-2
spectral mixture analysis
moss health evaluation
Science
Q
spellingShingle Antarctica
vegetation abundance
WorldView-2
spectral mixture analysis
moss health evaluation
Science
Q
Xiaohui Sun
Wenjin Wu
Xinwu Li
Xiyan Xu
Jinfeng Li
Vegetation Abundance and Health Mapping Over Southwestern Antarctica Based on WorldView-2 Data and a Modified Spectral Mixture Analysis
topic_facet Antarctica
vegetation abundance
WorldView-2
spectral mixture analysis
moss health evaluation
Science
Q
description In polar regions, vegetation is especially sensitive to climate dynamics and thus can be used as an indicator of the global and regional environmental change. However, in Antarctica, there is very little information on vegetation distribution and growth status. To fill this gap, we evaluated the ability of both linear and nonlinear spectral mixture analysis (SMA) models, including a group of newly developed modified Nascimento’s models for Antarctic vegetated areas (MNM-AVs), in estimating the abundance of major Antarctic vegetation types, i.e., mosses and lichens. The study was conducted using WorldView-2 satellite data and field measurements over the Fildes Peninsula and its surroundings, which are representative vegetated areas in Antarctica. In MNM-AVs, we introduced secondary scattering components for vegetation and its background to account for the sparsity of vegetation cover and reassigned their coefficients. The new models achieved improved performances, among which MNM-AV3 achieved the lowest error for mosses (lichens) abundance estimation with RMSE = 0.202 (0.213). Compared with MNM-AVs, the linear model performed particularly poor for lichens (RMSE = 0.322), which is in contrast to the case of mosses (RMSE = 0.212), demonstrating that spectral signals of lichens are more prone to mix with their backgrounds. Abundance maps of mosses and lichens, as well as a map of moss health status for the entire study area, were then obtained based on MNM-AV3 with around 80% overall accuracy. Moss areas account for 0.7695 km 2 in Fildes and 0.3259 km 2 in Ardley Island; unhealthy mosses amounted to 40% (49%) of the area in the summer of 2018 (2019), indicating considerable environmental stress.
format Article in Journal/Newspaper
author Xiaohui Sun
Wenjin Wu
Xinwu Li
Xiyan Xu
Jinfeng Li
author_facet Xiaohui Sun
Wenjin Wu
Xinwu Li
Xiyan Xu
Jinfeng Li
author_sort Xiaohui Sun
title Vegetation Abundance and Health Mapping Over Southwestern Antarctica Based on WorldView-2 Data and a Modified Spectral Mixture Analysis
title_short Vegetation Abundance and Health Mapping Over Southwestern Antarctica Based on WorldView-2 Data and a Modified Spectral Mixture Analysis
title_full Vegetation Abundance and Health Mapping Over Southwestern Antarctica Based on WorldView-2 Data and a Modified Spectral Mixture Analysis
title_fullStr Vegetation Abundance and Health Mapping Over Southwestern Antarctica Based on WorldView-2 Data and a Modified Spectral Mixture Analysis
title_full_unstemmed Vegetation Abundance and Health Mapping Over Southwestern Antarctica Based on WorldView-2 Data and a Modified Spectral Mixture Analysis
title_sort vegetation abundance and health mapping over southwestern antarctica based on worldview-2 data and a modified spectral mixture analysis
publisher MDPI AG
publishDate 2021
url https://doi.org/10.3390/rs13020166
https://doaj.org/article/52053930a8be475ca1bfbf6e8ad1c3ae
long_lat ENVELOPE(-58.953,-58.953,-62.201,-62.201)
ENVELOPE(-58.933,-58.933,-62.213,-62.213)
ENVELOPE(-58.817,-58.817,-62.217,-62.217)
ENVELOPE(-58.948,-58.948,-62.182,-62.182)
geographic Antarctic
Ardley
Ardley Island
Fildes
Fildes peninsula
geographic_facet Antarctic
Ardley
Ardley Island
Fildes
Fildes peninsula
genre Antarc*
Antarctic
Antarctica
Ardley Island
genre_facet Antarc*
Antarctic
Antarctica
Ardley Island
op_source Remote Sensing, Vol 13, Iss 2, p 166 (2021)
op_relation https://www.mdpi.com/2072-4292/13/2/166
https://doaj.org/toc/2072-4292
doi:10.3390/rs13020166
2072-4292
https://doaj.org/article/52053930a8be475ca1bfbf6e8ad1c3ae
op_doi https://doi.org/10.3390/rs13020166
container_title Remote Sensing
container_volume 13
container_issue 2
container_start_page 166
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