Spectral Characteristics of the Antarctic Vegetation: A Case Study of Barton Peninsula
Spectral information is a proxy for understanding the characteristics of ground targets without a potentially disruptive contact. A spectral library is a collection of this information and serves as reference data in remote sensing analyses. Although widely used, data of this type for most ground ob...
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ftmdpi:oai:mdpi.com:/2072-4292/13/13/2470/ 2023-08-20T04:00:17+02:00 Spectral Characteristics of the Antarctic Vegetation: A Case Study of Barton Peninsula Junhwa Chi Hyoungseok Lee Soon Gyu Hong Hyun-Cheol Kim agris 2021-06-24 application/pdf https://doi.org/10.3390/rs13132470 EN eng Multidisciplinary Digital Publishing Institute Remote Sensing in Agriculture and Vegetation https://dx.doi.org/10.3390/rs13132470 https://creativecommons.org/licenses/by/4.0/ Remote Sensing; Volume 13; Issue 13; Pages: 2470 Antarctic vegetation Barton Peninsula field spectroscopy King George Island lichen moss spectral characteristics spectral library Text 2021 ftmdpi https://doi.org/10.3390/rs13132470 2023-08-01T02:01:57Z Spectral information is a proxy for understanding the characteristics of ground targets without a potentially disruptive contact. A spectral library is a collection of this information and serves as reference data in remote sensing analyses. Although widely used, data of this type for most ground objects in polar regions are notably absent. Remote sensing data are widely used in polar research because they can provide helpful information for difficult-to-access or extensive areas. However, a lack of ground truth hinders remote sensing efforts. Accordingly, a spectral library was developed for 16 common vegetation species and decayed moss in the ice-free areas of Antarctica using a field spectrometer. In particular, the relative importance of shortwave infrared wavelengths in identifying Antarctic vegetation using spectral similarity comparisons was demonstrated. Due to the lack of available remote sensing images of the study area, simulated images were generated using the developed spectral library. Then, these images were used to evaluate the potential performance of the classification and spectral unmixing according to spectral resolution. We believe that the developed library will enhance our understanding of Antarctic vegetation and will assist in the analysis of various remote sensing data. Text Antarc* Antarctic Antarctica King George Island MDPI Open Access Publishing Antarctic The Antarctic King George Island Barton ENVELOPE(-58.733,-58.733,-62.233,-62.233) Barton Peninsula ENVELOPE(-58.741,-58.741,-62.227,-62.227) Remote Sensing 13 13 2470 |
institution |
Open Polar |
collection |
MDPI Open Access Publishing |
op_collection_id |
ftmdpi |
language |
English |
topic |
Antarctic vegetation Barton Peninsula field spectroscopy King George Island lichen moss spectral characteristics spectral library |
spellingShingle |
Antarctic vegetation Barton Peninsula field spectroscopy King George Island lichen moss spectral characteristics spectral library Junhwa Chi Hyoungseok Lee Soon Gyu Hong Hyun-Cheol Kim Spectral Characteristics of the Antarctic Vegetation: A Case Study of Barton Peninsula |
topic_facet |
Antarctic vegetation Barton Peninsula field spectroscopy King George Island lichen moss spectral characteristics spectral library |
description |
Spectral information is a proxy for understanding the characteristics of ground targets without a potentially disruptive contact. A spectral library is a collection of this information and serves as reference data in remote sensing analyses. Although widely used, data of this type for most ground objects in polar regions are notably absent. Remote sensing data are widely used in polar research because they can provide helpful information for difficult-to-access or extensive areas. However, a lack of ground truth hinders remote sensing efforts. Accordingly, a spectral library was developed for 16 common vegetation species and decayed moss in the ice-free areas of Antarctica using a field spectrometer. In particular, the relative importance of shortwave infrared wavelengths in identifying Antarctic vegetation using spectral similarity comparisons was demonstrated. Due to the lack of available remote sensing images of the study area, simulated images were generated using the developed spectral library. Then, these images were used to evaluate the potential performance of the classification and spectral unmixing according to spectral resolution. We believe that the developed library will enhance our understanding of Antarctic vegetation and will assist in the analysis of various remote sensing data. |
format |
Text |
author |
Junhwa Chi Hyoungseok Lee Soon Gyu Hong Hyun-Cheol Kim |
author_facet |
Junhwa Chi Hyoungseok Lee Soon Gyu Hong Hyun-Cheol Kim |
author_sort |
Junhwa Chi |
title |
Spectral Characteristics of the Antarctic Vegetation: A Case Study of Barton Peninsula |
title_short |
Spectral Characteristics of the Antarctic Vegetation: A Case Study of Barton Peninsula |
title_full |
Spectral Characteristics of the Antarctic Vegetation: A Case Study of Barton Peninsula |
title_fullStr |
Spectral Characteristics of the Antarctic Vegetation: A Case Study of Barton Peninsula |
title_full_unstemmed |
Spectral Characteristics of the Antarctic Vegetation: A Case Study of Barton Peninsula |
title_sort |
spectral characteristics of the antarctic vegetation: a case study of barton peninsula |
publisher |
Multidisciplinary Digital Publishing Institute |
publishDate |
2021 |
url |
https://doi.org/10.3390/rs13132470 |
op_coverage |
agris |
long_lat |
ENVELOPE(-58.733,-58.733,-62.233,-62.233) ENVELOPE(-58.741,-58.741,-62.227,-62.227) |
geographic |
Antarctic The Antarctic King George Island Barton Barton Peninsula |
geographic_facet |
Antarctic The Antarctic King George Island Barton Barton Peninsula |
genre |
Antarc* Antarctic Antarctica King George Island |
genre_facet |
Antarc* Antarctic Antarctica King George Island |
op_source |
Remote Sensing; Volume 13; Issue 13; Pages: 2470 |
op_relation |
Remote Sensing in Agriculture and Vegetation https://dx.doi.org/10.3390/rs13132470 |
op_rights |
https://creativecommons.org/licenses/by/4.0/ |
op_doi |
https://doi.org/10.3390/rs13132470 |
container_title |
Remote Sensing |
container_volume |
13 |
container_issue |
13 |
container_start_page |
2470 |
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1774717367745511424 |