Spatiotemporal Analysis of MODIS Aerosol Optical Depth Data in the Philippines from 2010 to 2020

Satellite remote sensing for air quality assessment provides information over a large spatial coverage and time period that shows the trends and effects of anthropogenic activities. Using data collected from the Moderate Resolution Imaging Spectroradiometer (MODIS) Terra satellite from the years 201...

Full description

Bibliographic Details
Published in:Atmosphere
Main Authors: Nadine Grace Caido, Prane Mariel Ong, Ofelia Rempillo, Maria Cecilia Galvez, Edgar Vallar
Format: Article in Journal/Newspaper
Language:English
Published: MDPI AG 2022
Subjects:
Online Access:https://doi.org/10.3390/atmos13060939
https://doaj.org/article/89f92b73a1f24d57a036ec5ea981ab7c
id ftdoajarticles:oai:doaj.org/article:89f92b73a1f24d57a036ec5ea981ab7c
record_format openpolar
spelling ftdoajarticles:oai:doaj.org/article:89f92b73a1f24d57a036ec5ea981ab7c 2023-05-15T13:06:27+02:00 Spatiotemporal Analysis of MODIS Aerosol Optical Depth Data in the Philippines from 2010 to 2020 Nadine Grace Caido Prane Mariel Ong Ofelia Rempillo Maria Cecilia Galvez Edgar Vallar 2022-06-01T00:00:00Z https://doi.org/10.3390/atmos13060939 https://doaj.org/article/89f92b73a1f24d57a036ec5ea981ab7c EN eng MDPI AG https://www.mdpi.com/2073-4433/13/6/939 https://doaj.org/toc/2073-4433 doi:10.3390/atmos13060939 2073-4433 https://doaj.org/article/89f92b73a1f24d57a036ec5ea981ab7c Atmosphere, Vol 13, Iss 939, p 939 (2022) aerosol optical depth air quality MODIS transboundary Meteorology. Climatology QC851-999 article 2022 ftdoajarticles https://doi.org/10.3390/atmos13060939 2022-12-31T02:49:20Z Satellite remote sensing for air quality assessment provides information over a large spatial coverage and time period that shows the trends and effects of anthropogenic activities. Using data collected from the Moderate Resolution Imaging Spectroradiometer (MODIS) Terra satellite from the years 2010 to 2020, the spatiotemporal variations to aerosol optical depth (AOD) in Koronadal City and Quezon City were studied. Validation showed a strong relationship between the MODIS AOD values and the Aerosol Robotic Network (AERONET) AOD values (R 2 = 0.83) and a low root mean square error (RMSE) of 0.26. Annual variation in the AOD of the two study areas showed a peak AOD value in 2015 due to an immense biomass burning in Indonesia and a low AOD value in 2020 due to the COVID-19 lockdown. Koronadal City experienced a high AOD value during the fall season due to aerosols from biomass burning in Indonesia that were carried by the southwest monsoon. Quezon City experienced a high AOD value during spring from increased local sources, as well as long-range transport pollutants from East Asia that were carried by northeasterly winds. Overall, this study provides an understanding of the spatiotemporal variations in aerosols in the Philippines, which could be used in environmental management, air quality regulations, and health assessment studies. This shows the urgency of monitoring and mitigating poor air quality in the Philippines. Article in Journal/Newspaper Aerosol Robotic Network Directory of Open Access Journals: DOAJ Articles Atmosphere 13 6 939
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic aerosol optical depth
air quality
MODIS
transboundary
Meteorology. Climatology
QC851-999
spellingShingle aerosol optical depth
air quality
MODIS
transboundary
Meteorology. Climatology
QC851-999
Nadine Grace Caido
Prane Mariel Ong
Ofelia Rempillo
Maria Cecilia Galvez
Edgar Vallar
Spatiotemporal Analysis of MODIS Aerosol Optical Depth Data in the Philippines from 2010 to 2020
topic_facet aerosol optical depth
air quality
MODIS
transboundary
Meteorology. Climatology
QC851-999
description Satellite remote sensing for air quality assessment provides information over a large spatial coverage and time period that shows the trends and effects of anthropogenic activities. Using data collected from the Moderate Resolution Imaging Spectroradiometer (MODIS) Terra satellite from the years 2010 to 2020, the spatiotemporal variations to aerosol optical depth (AOD) in Koronadal City and Quezon City were studied. Validation showed a strong relationship between the MODIS AOD values and the Aerosol Robotic Network (AERONET) AOD values (R 2 = 0.83) and a low root mean square error (RMSE) of 0.26. Annual variation in the AOD of the two study areas showed a peak AOD value in 2015 due to an immense biomass burning in Indonesia and a low AOD value in 2020 due to the COVID-19 lockdown. Koronadal City experienced a high AOD value during the fall season due to aerosols from biomass burning in Indonesia that were carried by the southwest monsoon. Quezon City experienced a high AOD value during spring from increased local sources, as well as long-range transport pollutants from East Asia that were carried by northeasterly winds. Overall, this study provides an understanding of the spatiotemporal variations in aerosols in the Philippines, which could be used in environmental management, air quality regulations, and health assessment studies. This shows the urgency of monitoring and mitigating poor air quality in the Philippines.
format Article in Journal/Newspaper
author Nadine Grace Caido
Prane Mariel Ong
Ofelia Rempillo
Maria Cecilia Galvez
Edgar Vallar
author_facet Nadine Grace Caido
Prane Mariel Ong
Ofelia Rempillo
Maria Cecilia Galvez
Edgar Vallar
author_sort Nadine Grace Caido
title Spatiotemporal Analysis of MODIS Aerosol Optical Depth Data in the Philippines from 2010 to 2020
title_short Spatiotemporal Analysis of MODIS Aerosol Optical Depth Data in the Philippines from 2010 to 2020
title_full Spatiotemporal Analysis of MODIS Aerosol Optical Depth Data in the Philippines from 2010 to 2020
title_fullStr Spatiotemporal Analysis of MODIS Aerosol Optical Depth Data in the Philippines from 2010 to 2020
title_full_unstemmed Spatiotemporal Analysis of MODIS Aerosol Optical Depth Data in the Philippines from 2010 to 2020
title_sort spatiotemporal analysis of modis aerosol optical depth data in the philippines from 2010 to 2020
publisher MDPI AG
publishDate 2022
url https://doi.org/10.3390/atmos13060939
https://doaj.org/article/89f92b73a1f24d57a036ec5ea981ab7c
genre Aerosol Robotic Network
genre_facet Aerosol Robotic Network
op_source Atmosphere, Vol 13, Iss 939, p 939 (2022)
op_relation https://www.mdpi.com/2073-4433/13/6/939
https://doaj.org/toc/2073-4433
doi:10.3390/atmos13060939
2073-4433
https://doaj.org/article/89f92b73a1f24d57a036ec5ea981ab7c
op_doi https://doi.org/10.3390/atmos13060939
container_title Atmosphere
container_volume 13
container_issue 6
container_start_page 939
_version_ 1766006041555763200