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Monitoring of urban ecological environment including air quality using satellite imagery
Rapid urbanisation has highlighted problems in the urban ecological environment and stimulated research on the evaluation of urban environments. In previous studies, key factors such as greenness, wetness, and temperature were extracted from satellite images to assess the urban ecological environmen...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9409549/ https://www.ncbi.nlm.nih.gov/pubmed/36007087 http://dx.doi.org/10.1371/journal.pone.0266759 |
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author | Wang, Yuan Cai, Guoyin Yang, Liuzhong Zhang, Ning Du, Mingyi |
author_facet | Wang, Yuan Cai, Guoyin Yang, Liuzhong Zhang, Ning Du, Mingyi |
author_sort | Wang, Yuan |
collection | PubMed |
description | Rapid urbanisation has highlighted problems in the urban ecological environment and stimulated research on the evaluation of urban environments. In previous studies, key factors such as greenness, wetness, and temperature were extracted from satellite images to assess the urban ecological environment. Although air pollution has become increasingly serious as urbanisation proceeds, information on air pollution is not included in existing models. The Sentinel-5P satellite launched by the European Space Agency in 2017 is a reliable data source for monitoring air quality. By making full use of images from Landsat 8, Sentinel-2A, and Sentinel-5P, this work attempts to construct a new remote sensing monitoring index for urban ecology by adding air quality information to the existing remote sensing ecological index. The proposed index was tested in the Beijing metropolitan area using satellite data from 2020. The results obtained using the proposed index differ greatly in the central urban region and near large bodies of water from those obtained using the existing remote sensing monitoring model, indicating that air quality plays a significant role in evaluating the urban ecological environment. Because the model constructed in this study integrates information on vegetation, soil, humidity, heat, and air quality, it can comprehensively and objectively reflect the quality of the urban ecological environment. Consequently, the proposed remote sensing index provides a new approach to effectively monitoring the urban ecological environment. |
format | Online Article Text |
id | pubmed-9409549 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-94095492022-08-26 Monitoring of urban ecological environment including air quality using satellite imagery Wang, Yuan Cai, Guoyin Yang, Liuzhong Zhang, Ning Du, Mingyi PLoS One Research Article Rapid urbanisation has highlighted problems in the urban ecological environment and stimulated research on the evaluation of urban environments. In previous studies, key factors such as greenness, wetness, and temperature were extracted from satellite images to assess the urban ecological environment. Although air pollution has become increasingly serious as urbanisation proceeds, information on air pollution is not included in existing models. The Sentinel-5P satellite launched by the European Space Agency in 2017 is a reliable data source for monitoring air quality. By making full use of images from Landsat 8, Sentinel-2A, and Sentinel-5P, this work attempts to construct a new remote sensing monitoring index for urban ecology by adding air quality information to the existing remote sensing ecological index. The proposed index was tested in the Beijing metropolitan area using satellite data from 2020. The results obtained using the proposed index differ greatly in the central urban region and near large bodies of water from those obtained using the existing remote sensing monitoring model, indicating that air quality plays a significant role in evaluating the urban ecological environment. Because the model constructed in this study integrates information on vegetation, soil, humidity, heat, and air quality, it can comprehensively and objectively reflect the quality of the urban ecological environment. Consequently, the proposed remote sensing index provides a new approach to effectively monitoring the urban ecological environment. Public Library of Science 2022-08-25 /pmc/articles/PMC9409549/ /pubmed/36007087 http://dx.doi.org/10.1371/journal.pone.0266759 Text en © 2022 Wang et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Wang, Yuan Cai, Guoyin Yang, Liuzhong Zhang, Ning Du, Mingyi Monitoring of urban ecological environment including air quality using satellite imagery |
title | Monitoring of urban ecological environment including air quality using satellite imagery |
title_full | Monitoring of urban ecological environment including air quality using satellite imagery |
title_fullStr | Monitoring of urban ecological environment including air quality using satellite imagery |
title_full_unstemmed | Monitoring of urban ecological environment including air quality using satellite imagery |
title_short | Monitoring of urban ecological environment including air quality using satellite imagery |
title_sort | monitoring of urban ecological environment including air quality using satellite imagery |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9409549/ https://www.ncbi.nlm.nih.gov/pubmed/36007087 http://dx.doi.org/10.1371/journal.pone.0266759 |
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