A methodology to evaluate the aerosol effective radius based on MODIS aerosol products applicable to other satellite platforms
A strategy to evaluate the effective radius (r eff) as a function of aerosol retrievals is provided in this work. This methodology is based on the MODerate resolution Imaging Spectroradiometer (MODIS) aerosol products, using the 0.66 and 0.87 µm bands. These data have been studied from February 2000...
Published in: | International Journal of Remote Sensing |
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Online Access: | http://hdl.handle.net/10553/48037 https://doi.org/10.1080/01431160802549302 |
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ftunivlaspalmas:oai:https://accedacris.ulpgc.es:10553/48037 2023-05-15T17:38:27+02:00 A methodology to evaluate the aerosol effective radius based on MODIS aerosol products applicable to other satellite platforms García, Omaira E. Díaz, Ana M. Expósito, Francisco J. Díaz, Juan P. Gelado, María D. Guirado, Carmen GELADO CABALLERO, MARIA DOLORES Guirado-Fuentes, Carmen Exposito, Francisco Garcia, Omaira Gelado-Caballero, M.D. 10244893900 57200925055 6701925357 7401604360 6506058559 56888921400 3413552 1121982 964181 6318761 2134468 3493866 2009 http://hdl.handle.net/10553/48037 https://doi.org/10.1080/01431160802549302 eng eng 0143-1161 Interreg Iii B: Clima y Meteorología de Archipiélagos Atlánticos (Climaat-Ii). International Journal of Remote Sensing 0143-1161 http://hdl.handle.net/10553/48037 doi:10.1080/01431160802549302 69849115355 000266917400003 2214 2197 30 H-5696-2015 K-9085-2014 L-6319-2014 M-2896-2014 No ID International Journal of Remote Sensing [ISSN 0143-1161], v. 30, p. 2197-2214 2502 Climatología 2009 ftunivlaspalmas https://doi.org/10.1080/01431160802549302 2020-01-29T00:08:00Z A strategy to evaluate the effective radius (r eff) as a function of aerosol retrievals is provided in this work. This methodology is based on the MODerate resolution Imaging Spectroradiometer (MODIS) aerosol products, using the 0.66 and 0.87 µm bands. These data have been studied from February 2000 to December 2005 in a grid situated at Subtropical North‐east Atlantic region. To reduce the number of MODIS useful variables a Factorial Analysis by Principal Components has been applied, decreasing the aerosol parameters from 18 to five. With these parameters, backscattering ratios and asymmetry factors at 0.66 and 0.87 µm besides the Ångström parameter, a lineal multivariate analysis technique has been applied to find the combination of variables that better evaluate the r eff. The standard error for the predicted value of r eff is ±0.09 µm. The expression obtained here has the advantage that it can be applied to other remote sensors like AVHRR/NOAA, HRV/SPOT, TM/LANDSAT, and so on, with long time series. Other/Unknown Material North East Atlantic Universidad de Las Palmas de Gran Canaria: Acceda International Journal of Remote Sensing 30 9 2197 2214 |
institution |
Open Polar |
collection |
Universidad de Las Palmas de Gran Canaria: Acceda |
op_collection_id |
ftunivlaspalmas |
language |
English |
topic |
2502 Climatología |
spellingShingle |
2502 Climatología García, Omaira E. Díaz, Ana M. Expósito, Francisco J. Díaz, Juan P. Gelado, María D. Guirado, Carmen A methodology to evaluate the aerosol effective radius based on MODIS aerosol products applicable to other satellite platforms |
topic_facet |
2502 Climatología |
description |
A strategy to evaluate the effective radius (r eff) as a function of aerosol retrievals is provided in this work. This methodology is based on the MODerate resolution Imaging Spectroradiometer (MODIS) aerosol products, using the 0.66 and 0.87 µm bands. These data have been studied from February 2000 to December 2005 in a grid situated at Subtropical North‐east Atlantic region. To reduce the number of MODIS useful variables a Factorial Analysis by Principal Components has been applied, decreasing the aerosol parameters from 18 to five. With these parameters, backscattering ratios and asymmetry factors at 0.66 and 0.87 µm besides the Ångström parameter, a lineal multivariate analysis technique has been applied to find the combination of variables that better evaluate the r eff. The standard error for the predicted value of r eff is ±0.09 µm. The expression obtained here has the advantage that it can be applied to other remote sensors like AVHRR/NOAA, HRV/SPOT, TM/LANDSAT, and so on, with long time series. |
author2 |
GELADO CABALLERO, MARIA DOLORES Guirado-Fuentes, Carmen Exposito, Francisco Garcia, Omaira Gelado-Caballero, M.D. 10244893900 57200925055 6701925357 7401604360 6506058559 56888921400 3413552 1121982 964181 6318761 2134468 3493866 |
author |
García, Omaira E. Díaz, Ana M. Expósito, Francisco J. Díaz, Juan P. Gelado, María D. Guirado, Carmen |
author_facet |
García, Omaira E. Díaz, Ana M. Expósito, Francisco J. Díaz, Juan P. Gelado, María D. Guirado, Carmen |
author_sort |
García, Omaira E. |
title |
A methodology to evaluate the aerosol effective radius based on MODIS aerosol products applicable to other satellite platforms |
title_short |
A methodology to evaluate the aerosol effective radius based on MODIS aerosol products applicable to other satellite platforms |
title_full |
A methodology to evaluate the aerosol effective radius based on MODIS aerosol products applicable to other satellite platforms |
title_fullStr |
A methodology to evaluate the aerosol effective radius based on MODIS aerosol products applicable to other satellite platforms |
title_full_unstemmed |
A methodology to evaluate the aerosol effective radius based on MODIS aerosol products applicable to other satellite platforms |
title_sort |
methodology to evaluate the aerosol effective radius based on modis aerosol products applicable to other satellite platforms |
publisher |
0143-1161 |
publishDate |
2009 |
url |
http://hdl.handle.net/10553/48037 https://doi.org/10.1080/01431160802549302 |
genre |
North East Atlantic |
genre_facet |
North East Atlantic |
op_source |
International Journal of Remote Sensing [ISSN 0143-1161], v. 30, p. 2197-2214 |
op_relation |
Interreg Iii B: Clima y Meteorología de Archipiélagos Atlánticos (Climaat-Ii). International Journal of Remote Sensing 0143-1161 http://hdl.handle.net/10553/48037 doi:10.1080/01431160802549302 69849115355 000266917400003 2214 2197 30 H-5696-2015 K-9085-2014 L-6319-2014 M-2896-2014 No ID |
op_doi |
https://doi.org/10.1080/01431160802549302 |
container_title |
International Journal of Remote Sensing |
container_volume |
30 |
container_issue |
9 |
container_start_page |
2197 |
op_container_end_page |
2214 |
_version_ |
1766138901556101120 |