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: Text
Language:English
Published: Multidisciplinary Digital Publishing Institute 2021
Subjects:
Online Access:https://doi.org/10.3390/rs13020166
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spelling ftmdpi:oai:mdpi.com:/2072-4292/13/2/166/ 2023-08-20T04:02:23+02:00 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 agris 2021-01-06 application/pdf https://doi.org/10.3390/rs13020166 EN eng Multidisciplinary Digital Publishing Institute Environmental Remote Sensing https://dx.doi.org/10.3390/rs13020166 https://creativecommons.org/licenses/by/4.0/ Remote Sensing; Volume 13; Issue 2; Pages: 166 Antarctica vegetation abundance WorldView-2 spectral mixture analysis moss health evaluation Text 2021 ftmdpi https://doi.org/10.3390/rs13020166 2023-08-01T00:48:47Z 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 km2 in Fildes and 0.3259 km2 in Ardley Island; unhealthy mosses amounted to 40% (49%) of the area in the summer of 2018 (2019), indicating considerable environmental stress. Text Antarc* Antarctic Antarctica Ardley Island MDPI Open Access Publishing Antarctic Fildes ENVELOPE(-58.817,-58.817,-62.217,-62.217) Fildes peninsula ENVELOPE(-58.948,-58.948,-62.182,-62.182) Ardley ENVELOPE(-58.953,-58.953,-62.201,-62.201) Ardley Island ENVELOPE(-58.933,-58.933,-62.213,-62.213) Remote Sensing 13 2 166
institution Open Polar
collection MDPI Open Access Publishing
op_collection_id ftmdpi
language English
topic Antarctica
vegetation abundance
WorldView-2
spectral mixture analysis
moss health evaluation
spellingShingle Antarctica
vegetation abundance
WorldView-2
spectral mixture analysis
moss health evaluation
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
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 km2 in Fildes and 0.3259 km2 in Ardley Island; unhealthy mosses amounted to 40% (49%) of the area in the summer of 2018 (2019), indicating considerable environmental stress.
format Text
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 Multidisciplinary Digital Publishing Institute
publishDate 2021
url https://doi.org/10.3390/rs13020166
op_coverage agris
long_lat ENVELOPE(-58.817,-58.817,-62.217,-62.217)
ENVELOPE(-58.948,-58.948,-62.182,-62.182)
ENVELOPE(-58.953,-58.953,-62.201,-62.201)
ENVELOPE(-58.933,-58.933,-62.213,-62.213)
geographic Antarctic
Fildes
Fildes peninsula
Ardley
Ardley Island
geographic_facet Antarctic
Fildes
Fildes peninsula
Ardley
Ardley Island
genre Antarc*
Antarctic
Antarctica
Ardley Island
genre_facet Antarc*
Antarctic
Antarctica
Ardley Island
op_source Remote Sensing; Volume 13; Issue 2; Pages: 166
op_relation Environmental Remote Sensing
https://dx.doi.org/10.3390/rs13020166
op_rights https://creativecommons.org/licenses/by/4.0/
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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