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Advancing application of satellite remote sensing technologies for linking atmospheric and built environment to health

BACKGROUND: The intricate interplay between human well-being and the surrounding environment underscores contemporary discourse. Within this paradigm, comprehensive environmental monitoring holds the key to unraveling the intricate connections linking population health to environmental exposures. Th...

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Autores principales: Tian, Yuxuan, Duan, Mengshan, Cui, Xiangfen, Zhao, Qun, Tian, Senlin, Lin, Yichao, Wang, Weicen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10690611/
https://www.ncbi.nlm.nih.gov/pubmed/38045962
http://dx.doi.org/10.3389/fpubh.2023.1270033
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author Tian, Yuxuan
Duan, Mengshan
Cui, Xiangfen
Zhao, Qun
Tian, Senlin
Lin, Yichao
Wang, Weicen
author_facet Tian, Yuxuan
Duan, Mengshan
Cui, Xiangfen
Zhao, Qun
Tian, Senlin
Lin, Yichao
Wang, Weicen
author_sort Tian, Yuxuan
collection PubMed
description BACKGROUND: The intricate interplay between human well-being and the surrounding environment underscores contemporary discourse. Within this paradigm, comprehensive environmental monitoring holds the key to unraveling the intricate connections linking population health to environmental exposures. The advent of satellite remote sensing monitoring (SRSM) has revolutionized traditional monitoring constraints, particularly limited spatial coverage and resolution. This innovation finds profound utility in quantifying land covers and air pollution data, casting new light on epidemiological and geographical investigations. This dynamic application reveals the intricate web connecting public health, environmental pollution, and the built environment. OBJECTIVE: This comprehensive review navigates the evolving trajectory of SRSM technology, casting light on its role in addressing environmental and geographic health issues. The discussion hones in on how SRSM has recently magnified our understanding of the relationship between air pollutant exposure and population health. Additionally, this discourse delves into public health challenges stemming from shifts in urban morphology. METHODS: Utilizing the strategic keywords “SRSM,” “air pollutant health risk,” and “built environment,” an exhaustive search unfolded across prestigious databases including the China National Knowledge Network (CNKI), PubMed and Web of Science. The Citespace tool further unveiled interconnections among resultant articles and research trends. RESULTS: Synthesizing insights from a myriad of articles spanning 1988 to 2023, our findings unveil how SRMS bridges gaps in ground-based monitoring through continuous spatial observations, empowering global air quality surveillance. High-resolution SRSM advances data precision, capturing multiple built environment impact factors. Its application to epidemiological health exposure holds promise as a pioneering tool for contemporary health research. CONCLUSION: This review underscores SRSM’s pivotal role in enriching geographic health studies, particularly in atmospheric pollution domains. The study illuminates how SRSM overcomes spatial resolution and data loss hurdles, enriching environmental monitoring tools and datasets. The path forward envisions the integration of cutting-edge remote sensing technologies, novel explorations of urban-public health associations, and an enriched assessment of built environment characteristics on public well-being.
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spelling pubmed-106906112023-12-02 Advancing application of satellite remote sensing technologies for linking atmospheric and built environment to health Tian, Yuxuan Duan, Mengshan Cui, Xiangfen Zhao, Qun Tian, Senlin Lin, Yichao Wang, Weicen Front Public Health Public Health BACKGROUND: The intricate interplay between human well-being and the surrounding environment underscores contemporary discourse. Within this paradigm, comprehensive environmental monitoring holds the key to unraveling the intricate connections linking population health to environmental exposures. The advent of satellite remote sensing monitoring (SRSM) has revolutionized traditional monitoring constraints, particularly limited spatial coverage and resolution. This innovation finds profound utility in quantifying land covers and air pollution data, casting new light on epidemiological and geographical investigations. This dynamic application reveals the intricate web connecting public health, environmental pollution, and the built environment. OBJECTIVE: This comprehensive review navigates the evolving trajectory of SRSM technology, casting light on its role in addressing environmental and geographic health issues. The discussion hones in on how SRSM has recently magnified our understanding of the relationship between air pollutant exposure and population health. Additionally, this discourse delves into public health challenges stemming from shifts in urban morphology. METHODS: Utilizing the strategic keywords “SRSM,” “air pollutant health risk,” and “built environment,” an exhaustive search unfolded across prestigious databases including the China National Knowledge Network (CNKI), PubMed and Web of Science. The Citespace tool further unveiled interconnections among resultant articles and research trends. RESULTS: Synthesizing insights from a myriad of articles spanning 1988 to 2023, our findings unveil how SRMS bridges gaps in ground-based monitoring through continuous spatial observations, empowering global air quality surveillance. High-resolution SRSM advances data precision, capturing multiple built environment impact factors. Its application to epidemiological health exposure holds promise as a pioneering tool for contemporary health research. CONCLUSION: This review underscores SRSM’s pivotal role in enriching geographic health studies, particularly in atmospheric pollution domains. The study illuminates how SRSM overcomes spatial resolution and data loss hurdles, enriching environmental monitoring tools and datasets. The path forward envisions the integration of cutting-edge remote sensing technologies, novel explorations of urban-public health associations, and an enriched assessment of built environment characteristics on public well-being. Frontiers Media S.A. 2023-11-15 /pmc/articles/PMC10690611/ /pubmed/38045962 http://dx.doi.org/10.3389/fpubh.2023.1270033 Text en Copyright © 2023 Tian, Duan, Cui, Zhao, Tian, Lin and Wang. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Public Health
Tian, Yuxuan
Duan, Mengshan
Cui, Xiangfen
Zhao, Qun
Tian, Senlin
Lin, Yichao
Wang, Weicen
Advancing application of satellite remote sensing technologies for linking atmospheric and built environment to health
title Advancing application of satellite remote sensing technologies for linking atmospheric and built environment to health
title_full Advancing application of satellite remote sensing technologies for linking atmospheric and built environment to health
title_fullStr Advancing application of satellite remote sensing technologies for linking atmospheric and built environment to health
title_full_unstemmed Advancing application of satellite remote sensing technologies for linking atmospheric and built environment to health
title_short Advancing application of satellite remote sensing technologies for linking atmospheric and built environment to health
title_sort advancing application of satellite remote sensing technologies for linking atmospheric and built environment to health
topic Public Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10690611/
https://www.ncbi.nlm.nih.gov/pubmed/38045962
http://dx.doi.org/10.3389/fpubh.2023.1270033
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