Validation of high‐resolution MAIAC aerosol product over South America
Moderate Resolution Imaging Spectroradiometer (MODIS) algorithm that combines time series approach and image processing to derive surface reflectance and atmosphere products, such as aerosol optical depth (AOD) and columnar water vapor (CWV). The quality assessment of MAIAC AOD at 1 km resolution is...
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Format: | Text |
Language: | English |
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Iowa State University Digital Repository
2017
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Online Access: | https://lib.dr.iastate.edu/abe_eng_pubs/1026 https://lib.dr.iastate.edu/cgi/viewcontent.cgi?article=2313&context=abe_eng_pubs |
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author | Martins, Vitor S. Lyapustin, Alexei de Carvalho, Lino A.S. Barbosa, Claudio C.F. Novo, Evlyn M.L.M. |
author_facet | Martins, Vitor S. Lyapustin, Alexei de Carvalho, Lino A.S. Barbosa, Claudio C.F. Novo, Evlyn M.L.M. |
author_sort | Martins, Vitor S. |
collection | Digital Repository @ Iowa State University |
description | Moderate Resolution Imaging Spectroradiometer (MODIS) algorithm that combines time series approach and image processing to derive surface reflectance and atmosphere products, such as aerosol optical depth (AOD) and columnar water vapor (CWV). The quality assessment of MAIAC AOD at 1 km resolution is still lacking across South America. In the present study, critical assessment of MAIAC AOD550 was performed using ground‐truth data from 19 Aerosol Robotic Network (AERONET) sites over South America. Additionally, we validated the MAIAC CWV retrievals using the same AERONET sites. In general, MAIAC AOD Terra/Aqua retrievals show high agreement with ground‐based measurements, with a correlation coefficient (R) close to unity (RTerra:0.956 and RAqua: 0.949). MAIAC accuracy depends on the surface properties and comparisons revealed high confidence retrievals over cropland, forest, savanna, and grassland covers, where more than 2/3 (~66%) of retrievals are within the expected error (EE = ±(0.05 + 0.05 × AOD)) and R exceeding 0.86. However, AOD retrievals over bright surfaces show lower correlation than those over vegetated areas. Both MAIAC Terra and Aqua retrievals are similarly comparable to AERONET AOD over the MODIS lifetime (small bias offset ~0.006). Additionally, MAIAC CWV presents quantitative information with R ~ 0.97 and more than 70% of retrievals within error (±15%). Nonetheless, the time series validation shows an upward bias trend in CWV Terra retrievals and systematic negative bias for CWV Aqua. These results contribute to a comprehensive evaluation of MAIAC AOD retrievals as a new atmospheric product for future aerosol studies over South America. |
format | Text |
genre | Aerosol Robotic Network |
genre_facet | Aerosol Robotic Network |
id | ftiowastateuniv:oai:lib.dr.iastate.edu:abe_eng_pubs-2313 |
institution | Open Polar |
language | English |
op_collection_id | ftiowastateuniv |
op_relation | https://lib.dr.iastate.edu/abe_eng_pubs/1026 https://lib.dr.iastate.edu/cgi/viewcontent.cgi?article=2313&context=abe_eng_pubs |
op_rights | Works produced by employees of the U.S. Government as part of their official duties are not copyrighted within the U.S. The content of this document is not copyrighted. |
op_source | Agricultural and Biosystems Engineering Publications |
publishDate | 2017 |
publisher | Iowa State University Digital Repository |
record_format | openpolar |
spelling | ftiowastateuniv:oai:lib.dr.iastate.edu:abe_eng_pubs-2313 2025-01-16T18:38:36+00:00 Validation of high‐resolution MAIAC aerosol product over South America Martins, Vitor S. Lyapustin, Alexei de Carvalho, Lino A.S. Barbosa, Claudio C.F. Novo, Evlyn M.L.M. 2017-07-27T07:00:00Z application/pdf https://lib.dr.iastate.edu/abe_eng_pubs/1026 https://lib.dr.iastate.edu/cgi/viewcontent.cgi?article=2313&context=abe_eng_pubs en eng Iowa State University Digital Repository https://lib.dr.iastate.edu/abe_eng_pubs/1026 https://lib.dr.iastate.edu/cgi/viewcontent.cgi?article=2313&context=abe_eng_pubs Works produced by employees of the U.S. Government as part of their official duties are not copyrighted within the U.S. The content of this document is not copyrighted. Agricultural and Biosystems Engineering Publications MODIS‐MAIAC South America aerosol optical depth (AOD) columnar water vapor (CWV) AERONET Atmospheric Sciences Bioresource and Agricultural Engineering Environmental Monitoring text 2017 ftiowastateuniv 2021-08-28T22:48:54Z Moderate Resolution Imaging Spectroradiometer (MODIS) algorithm that combines time series approach and image processing to derive surface reflectance and atmosphere products, such as aerosol optical depth (AOD) and columnar water vapor (CWV). The quality assessment of MAIAC AOD at 1 km resolution is still lacking across South America. In the present study, critical assessment of MAIAC AOD550 was performed using ground‐truth data from 19 Aerosol Robotic Network (AERONET) sites over South America. Additionally, we validated the MAIAC CWV retrievals using the same AERONET sites. In general, MAIAC AOD Terra/Aqua retrievals show high agreement with ground‐based measurements, with a correlation coefficient (R) close to unity (RTerra:0.956 and RAqua: 0.949). MAIAC accuracy depends on the surface properties and comparisons revealed high confidence retrievals over cropland, forest, savanna, and grassland covers, where more than 2/3 (~66%) of retrievals are within the expected error (EE = ±(0.05 + 0.05 × AOD)) and R exceeding 0.86. However, AOD retrievals over bright surfaces show lower correlation than those over vegetated areas. Both MAIAC Terra and Aqua retrievals are similarly comparable to AERONET AOD over the MODIS lifetime (small bias offset ~0.006). Additionally, MAIAC CWV presents quantitative information with R ~ 0.97 and more than 70% of retrievals within error (±15%). Nonetheless, the time series validation shows an upward bias trend in CWV Terra retrievals and systematic negative bias for CWV Aqua. These results contribute to a comprehensive evaluation of MAIAC AOD retrievals as a new atmospheric product for future aerosol studies over South America. Text Aerosol Robotic Network Digital Repository @ Iowa State University |
spellingShingle | MODIS‐MAIAC South America aerosol optical depth (AOD) columnar water vapor (CWV) AERONET Atmospheric Sciences Bioresource and Agricultural Engineering Environmental Monitoring Martins, Vitor S. Lyapustin, Alexei de Carvalho, Lino A.S. Barbosa, Claudio C.F. Novo, Evlyn M.L.M. Validation of high‐resolution MAIAC aerosol product over South America |
title | Validation of high‐resolution MAIAC aerosol product over South America |
title_full | Validation of high‐resolution MAIAC aerosol product over South America |
title_fullStr | Validation of high‐resolution MAIAC aerosol product over South America |
title_full_unstemmed | Validation of high‐resolution MAIAC aerosol product over South America |
title_short | Validation of high‐resolution MAIAC aerosol product over South America |
title_sort | validation of high‐resolution maiac aerosol product over south america |
topic | MODIS‐MAIAC South America aerosol optical depth (AOD) columnar water vapor (CWV) AERONET Atmospheric Sciences Bioresource and Agricultural Engineering Environmental Monitoring |
topic_facet | MODIS‐MAIAC South America aerosol optical depth (AOD) columnar water vapor (CWV) AERONET Atmospheric Sciences Bioresource and Agricultural Engineering Environmental Monitoring |
url | https://lib.dr.iastate.edu/abe_eng_pubs/1026 https://lib.dr.iastate.edu/cgi/viewcontent.cgi?article=2313&context=abe_eng_pubs |