Evaluation of Terra-MODIS C6 and C6.1 Aerosol Products against Beijing, XiangHe, and Xinglong AERONET Sites in China during 2004-2014

In this study, Terra-MODIS (Moderate Resolution Imaging Spectroradiometer) Collections 6 and 6.1 (C6 & C6.1) aerosol optical depth (AOD) retrievals with the recommended high-quality flag (QF = 3) were retrieved from Dark-Target (DT), Deep-Blue (DB) and merged DT and DB (DTB) level–2 AOD products...

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Published in:Remote Sensing
Main Authors: Muhammad Bilal, Majid Nazeer, Janet Nichol, Zhongfeng Qiu, Lunche Wang, Max P. Bleiweiss, Xiaojing Shen, James R. Campbell, Simone Lolli
Format: Text
Language:English
Published: Multidisciplinary Digital Publishing Institute 2019
Subjects:
AOD
Online Access:https://doi.org/10.3390/rs11050486
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spelling ftmdpi:oai:mdpi.com:/2072-4292/11/5/486/ 2023-08-20T03:59:13+02:00 Evaluation of Terra-MODIS C6 and C6.1 Aerosol Products against Beijing, XiangHe, and Xinglong AERONET Sites in China during 2004-2014 Muhammad Bilal Majid Nazeer Janet Nichol Zhongfeng Qiu Lunche Wang Max P. Bleiweiss Xiaojing Shen James R. Campbell Simone Lolli agris 2019-02-27 application/pdf https://doi.org/10.3390/rs11050486 EN eng Multidisciplinary Digital Publishing Institute Atmospheric Remote Sensing https://dx.doi.org/10.3390/rs11050486 https://creativecommons.org/licenses/by/4.0/ Remote Sensing; Volume 11; Issue 5; Pages: 486 MOD04 Dark-Target Deep-Blue AERONET LiDAR AOD Beijing China Text 2019 ftmdpi https://doi.org/10.3390/rs11050486 2023-07-31T22:04:35Z In this study, Terra-MODIS (Moderate Resolution Imaging Spectroradiometer) Collections 6 and 6.1 (C6 & C6.1) aerosol optical depth (AOD) retrievals with the recommended high-quality flag (QF = 3) were retrieved from Dark-Target (DT), Deep-Blue (DB) and merged DT and DB (DTB) level–2 AOD products for verification against Aerosol Robotic Network (AERONET) Version 3 Level 2.0 AOD data obtained from 2004–2014 for three sites located in the Beijing-Tianjin-Hebei (BTH) region. These are: Beijing, located over mixed bright urban surfaces, XiangHe located over suburban surfaces, and Xinglong located over hilly and vegetated surfaces. The AOD retrievals were also validated over different land-cover types defined by static monthly NDVI (Normalized Difference Vegetation Index) values obtained from the Terra-MODIS level-3 product (MOD13A3). These include non-vegetated surfaces (NVS, NDVI < 0.2), partially vegetated surfaces (PVS, 0.2 ≤ NDVI ≤ 0.3), moderately vegetated surfaces (MVS, 0.3 < NDVI < 0.5) and densely vegetated surfaces (DVS, NDVI ≥ 0.5). Results show that the DT, DB, and DTB-collocated retrievals achieve a high correlation coefficient of ~ 0.90–0.97, 0.89–0.95, and 0.86–0.95, respectively, with AERONET AOD. The DT C6 and C6.1 collocated retrievals were comparable at XiangHe and Xinglong, whereas at Beijing, the percentage of collocated retrievals within the expected error (↔EE) increased from 21.4% to 35.5%, the root mean square error (RMSE) decreased from 0.37 to 0.24, and the relative percent mean error (RPME) decreased from 49% to 27%. These results suggest significant relative improvement in the DT C6.1 product. The percentage of DB-collocated AOD retrievals ↔EE was greater than 70% at Beijing and Xinglong, whereas less than 66% was observed at XiangHe. Similar to DT AOD, DTB AOD retrievals performed well at XiangHe and Xinglong compared with Beijing. Regionally, DB C6 and C6.1-collocated retrievals performed better than DT and DTB in terms of good quality retrievals and relatively small ... Text Aerosol Robotic Network MDPI Open Access Publishing Remote Sensing 11 5 486
institution Open Polar
collection MDPI Open Access Publishing
op_collection_id ftmdpi
language English
topic MOD04
Dark-Target
Deep-Blue
AERONET
LiDAR
AOD
Beijing
China
spellingShingle MOD04
Dark-Target
Deep-Blue
AERONET
LiDAR
AOD
Beijing
China
Muhammad Bilal
Majid Nazeer
Janet Nichol
Zhongfeng Qiu
Lunche Wang
Max P. Bleiweiss
Xiaojing Shen
James R. Campbell
Simone Lolli
Evaluation of Terra-MODIS C6 and C6.1 Aerosol Products against Beijing, XiangHe, and Xinglong AERONET Sites in China during 2004-2014
topic_facet MOD04
Dark-Target
Deep-Blue
AERONET
LiDAR
AOD
Beijing
China
description In this study, Terra-MODIS (Moderate Resolution Imaging Spectroradiometer) Collections 6 and 6.1 (C6 & C6.1) aerosol optical depth (AOD) retrievals with the recommended high-quality flag (QF = 3) were retrieved from Dark-Target (DT), Deep-Blue (DB) and merged DT and DB (DTB) level–2 AOD products for verification against Aerosol Robotic Network (AERONET) Version 3 Level 2.0 AOD data obtained from 2004–2014 for three sites located in the Beijing-Tianjin-Hebei (BTH) region. These are: Beijing, located over mixed bright urban surfaces, XiangHe located over suburban surfaces, and Xinglong located over hilly and vegetated surfaces. The AOD retrievals were also validated over different land-cover types defined by static monthly NDVI (Normalized Difference Vegetation Index) values obtained from the Terra-MODIS level-3 product (MOD13A3). These include non-vegetated surfaces (NVS, NDVI < 0.2), partially vegetated surfaces (PVS, 0.2 ≤ NDVI ≤ 0.3), moderately vegetated surfaces (MVS, 0.3 < NDVI < 0.5) and densely vegetated surfaces (DVS, NDVI ≥ 0.5). Results show that the DT, DB, and DTB-collocated retrievals achieve a high correlation coefficient of ~ 0.90–0.97, 0.89–0.95, and 0.86–0.95, respectively, with AERONET AOD. The DT C6 and C6.1 collocated retrievals were comparable at XiangHe and Xinglong, whereas at Beijing, the percentage of collocated retrievals within the expected error (↔EE) increased from 21.4% to 35.5%, the root mean square error (RMSE) decreased from 0.37 to 0.24, and the relative percent mean error (RPME) decreased from 49% to 27%. These results suggest significant relative improvement in the DT C6.1 product. The percentage of DB-collocated AOD retrievals ↔EE was greater than 70% at Beijing and Xinglong, whereas less than 66% was observed at XiangHe. Similar to DT AOD, DTB AOD retrievals performed well at XiangHe and Xinglong compared with Beijing. Regionally, DB C6 and C6.1-collocated retrievals performed better than DT and DTB in terms of good quality retrievals and relatively small ...
format Text
author Muhammad Bilal
Majid Nazeer
Janet Nichol
Zhongfeng Qiu
Lunche Wang
Max P. Bleiweiss
Xiaojing Shen
James R. Campbell
Simone Lolli
author_facet Muhammad Bilal
Majid Nazeer
Janet Nichol
Zhongfeng Qiu
Lunche Wang
Max P. Bleiweiss
Xiaojing Shen
James R. Campbell
Simone Lolli
author_sort Muhammad Bilal
title Evaluation of Terra-MODIS C6 and C6.1 Aerosol Products against Beijing, XiangHe, and Xinglong AERONET Sites in China during 2004-2014
title_short Evaluation of Terra-MODIS C6 and C6.1 Aerosol Products against Beijing, XiangHe, and Xinglong AERONET Sites in China during 2004-2014
title_full Evaluation of Terra-MODIS C6 and C6.1 Aerosol Products against Beijing, XiangHe, and Xinglong AERONET Sites in China during 2004-2014
title_fullStr Evaluation of Terra-MODIS C6 and C6.1 Aerosol Products against Beijing, XiangHe, and Xinglong AERONET Sites in China during 2004-2014
title_full_unstemmed Evaluation of Terra-MODIS C6 and C6.1 Aerosol Products against Beijing, XiangHe, and Xinglong AERONET Sites in China during 2004-2014
title_sort evaluation of terra-modis c6 and c6.1 aerosol products against beijing, xianghe, and xinglong aeronet sites in china during 2004-2014
publisher Multidisciplinary Digital Publishing Institute
publishDate 2019
url https://doi.org/10.3390/rs11050486
op_coverage agris
genre Aerosol Robotic Network
genre_facet Aerosol Robotic Network
op_source Remote Sensing; Volume 11; Issue 5; Pages: 486
op_relation Atmospheric Remote Sensing
https://dx.doi.org/10.3390/rs11050486
op_rights https://creativecommons.org/licenses/by/4.0/
op_doi https://doi.org/10.3390/rs11050486
container_title Remote Sensing
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