Himawari-8/AHI and MODIS Aerosol Optical Depths in China: Evaluation and Comparison

The geostationary earth orbit satellite—Himawari-8 loaded with the Advanced Himawari Imager (AHI) has greatly enhanced our capacity of dynamic monitoring in Asia–Pacific area. The Himawari-8/AHI hourly aerosol product is a promising complementary source to the MODerate resolution Imaging Spectroradi...

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Published in:Remote Sensing
Main Authors: Tingting Jiang, Bin Chen, Karen Kie Yan Chan, Bing Xu
Format: Text
Language:English
Published: Multidisciplinary Digital Publishing Institute 2019
Subjects:
Online Access:https://doi.org/10.3390/rs11091011
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author Tingting Jiang
Bin Chen
Karen Kie Yan Chan
Bing Xu
author_facet Tingting Jiang
Bin Chen
Karen Kie Yan Chan
Bing Xu
author_sort Tingting Jiang
collection MDPI Open Access Publishing
container_issue 9
container_start_page 1011
container_title Remote Sensing
container_volume 11
description The geostationary earth orbit satellite—Himawari-8 loaded with the Advanced Himawari Imager (AHI) has greatly enhanced our capacity of dynamic monitoring in Asia–Pacific area. The Himawari-8/AHI hourly aerosol product is a promising complementary source to the MODerate resolution Imaging Spectroradiometer (MODIS) daily aerosol product for near real-time air pollution observations. However, a comprehensive evaluation of AHI aerosol optical depth (AOD) is still limited, and the difference in performances of AHI and MODIS remains uncertain. In this study, we evaluated the Himawari-8/AHI Level 3 Version 3.0 and MODIS Collection 6.1 Deep Blue AOD products over China against AOD measurements from AErosol RObotic NETwork (AERONET) sites in a spatiotemporal comparison of the products from February 2018 to January 2019. Results showed that AHI AOD achieved a moderate agreement with AERONET with a correlation coefficient of 0.75 and a root-mean-square-error of 0.26, which was slightly inferior to MODIS. The retrieval accuracy was spatially and temporally varied in AHI AOD, with higher accuracies for XiangHe and Lulin sites as well as in the morning and during the summer. The dependency analysis further revealed that the bias in AHI AOD was strongly dependent on aerosol loading and influenced by the Ångström Exponent and NDVI while those for MODIS appeared to be independent of all variables. Fortunately, the biases in AHI AOD could be rectified using a random forest model that contained the appropriate variables to produce sufficiently accurate results with cross-validation R of 0.92 and RMSE of 0.15. With these adjustments, AHI AOD will continue to have great potential in characterizing precise dynamic aerosol variations and air quality at a fine temporal resolution.
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spelling ftmdpi:oai:mdpi.com:/2072-4292/11/9/1011/ 2025-01-16T18:38:39+00:00 Himawari-8/AHI and MODIS Aerosol Optical Depths in China: Evaluation and Comparison Tingting Jiang Bin Chen Karen Kie Yan Chan Bing Xu agris 2019-04-28 application/pdf https://doi.org/10.3390/rs11091011 EN eng Multidisciplinary Digital Publishing Institute Atmospheric Remote Sensing https://dx.doi.org/10.3390/rs11091011 https://creativecommons.org/licenses/by/4.0/ Remote Sensing; Volume 11; Issue 9; Pages: 1011 aerosol optical depth (AOD) Himawari-8 MODIS validation China Text 2019 ftmdpi https://doi.org/10.3390/rs11091011 2023-07-31T22:13:56Z The geostationary earth orbit satellite—Himawari-8 loaded with the Advanced Himawari Imager (AHI) has greatly enhanced our capacity of dynamic monitoring in Asia–Pacific area. The Himawari-8/AHI hourly aerosol product is a promising complementary source to the MODerate resolution Imaging Spectroradiometer (MODIS) daily aerosol product for near real-time air pollution observations. However, a comprehensive evaluation of AHI aerosol optical depth (AOD) is still limited, and the difference in performances of AHI and MODIS remains uncertain. In this study, we evaluated the Himawari-8/AHI Level 3 Version 3.0 and MODIS Collection 6.1 Deep Blue AOD products over China against AOD measurements from AErosol RObotic NETwork (AERONET) sites in a spatiotemporal comparison of the products from February 2018 to January 2019. Results showed that AHI AOD achieved a moderate agreement with AERONET with a correlation coefficient of 0.75 and a root-mean-square-error of 0.26, which was slightly inferior to MODIS. The retrieval accuracy was spatially and temporally varied in AHI AOD, with higher accuracies for XiangHe and Lulin sites as well as in the morning and during the summer. The dependency analysis further revealed that the bias in AHI AOD was strongly dependent on aerosol loading and influenced by the Ångström Exponent and NDVI while those for MODIS appeared to be independent of all variables. Fortunately, the biases in AHI AOD could be rectified using a random forest model that contained the appropriate variables to produce sufficiently accurate results with cross-validation R of 0.92 and RMSE of 0.15. With these adjustments, AHI AOD will continue to have great potential in characterizing precise dynamic aerosol variations and air quality at a fine temporal resolution. Text Aerosol Robotic Network MDPI Open Access Publishing Pacific Remote Sensing 11 9 1011
spellingShingle aerosol optical depth (AOD)
Himawari-8
MODIS
validation
China
Tingting Jiang
Bin Chen
Karen Kie Yan Chan
Bing Xu
Himawari-8/AHI and MODIS Aerosol Optical Depths in China: Evaluation and Comparison
title Himawari-8/AHI and MODIS Aerosol Optical Depths in China: Evaluation and Comparison
title_full Himawari-8/AHI and MODIS Aerosol Optical Depths in China: Evaluation and Comparison
title_fullStr Himawari-8/AHI and MODIS Aerosol Optical Depths in China: Evaluation and Comparison
title_full_unstemmed Himawari-8/AHI and MODIS Aerosol Optical Depths in China: Evaluation and Comparison
title_short Himawari-8/AHI and MODIS Aerosol Optical Depths in China: Evaluation and Comparison
title_sort himawari-8/ahi and modis aerosol optical depths in china: evaluation and comparison
topic aerosol optical depth (AOD)
Himawari-8
MODIS
validation
China
topic_facet aerosol optical depth (AOD)
Himawari-8
MODIS
validation
China
url https://doi.org/10.3390/rs11091011