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dc.contributor.authorLeiku, Yang
dc.contributor.authorXue, Yong
dc.contributor.authorGuang, Jie
dc.contributor.authorHassan, Kazemian
dc.contributor.authorZhang, Jiahua
dc.contributor.authorLi, Chi
dc.date.accessioned2017-10-30T10:11:07Z
dc.date.available2017-10-30T10:11:07Z
dc.date.issued2014-02-28
dc.identifier.citationLeiku, Y. et al (2014) 'Improved Aerosol Optical Depth and Ångstrom Exponent Retrieval Over Land From MODIS Based on the Non-Lambertian Forward Model' , IEEE Geoscience and Remote Sensing Letters, 11 (9):1629.en
dc.identifier.issn1545598X
dc.identifier.doi10.1109/LGRS.2014.2303317
dc.identifier.urihttp://hdl.handle.net/10545/621926
dc.description.abstractIn this letter, an improved algorithm for aerosol retrieval is presented by employing the non-Lambertian forward model (forward model) (NL_FM) in the Moderate Resolution Imaging Spectroradiometer (MODIS) dark target (DT) algorithm to reduce the uncertainties induced when using the Lambertian FM (L_FM). This new algorithm was applied to MODIS measurements of the whole year of 2008 over Eastern China. By comparing the results with that of AERONET, we found that the accuracy of the aerosol optical depth (AOD) retrieval was improved with the regression plots concentrating around the 1 : 1 line and two-thirds falling within the expected error (EE) envelope EE = ±0.05±0.1τ (from 53.6% with L_FM to 68.7% with NL_FM at band 0.55 μm). Surprisingly, more accurate retrieval of the AOD demonstrated significantly improved the Ångstrom exponent (AE) retrieval, which is related to particle size parameters. The regression plots tended to concentrate around the 1 : 1 line, and many more fell within the EE = ±0.4 from 53.6% with L_FM to 80.9% with NL_FM. These results demonstrate that including the NL_FM in the MODIS DT algorithm has the potential to significantly improve both AOD and AE retrievals with respect to AERONET in comparison to the L_FM used in the current MODIS operational retrievals.
dc.description.sponsorshipN/Aen
dc.language.isoenen
dc.publisherIEEEen
dc.relation.urlhttp://ieeexplore.ieee.org/document/6750745/en
dc.rightsArchived with thanks to IEEE Geoscience and Remote Sensing Lettersen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectRemote sensingen
dc.subjectAerosol optical depthen
dc.subjectAtmospheric radiationen
dc.subjectParticle sizeen
dc.subjectRegression analysisen
dc.titleImproved aerosol optical depth and ångstrom exponent retrieval over land From MODIS based on the non-lambertian forward modelen
dc.typeArticleen
dc.identifier.eissn15580571
dc.contributor.departmentBeijing Normal Universityen
dc.contributor.departmentInstitute of Remote Sensing and Digital Earthen
dc.contributor.departmentLondon Metropolitan Universityen
dc.identifier.journalIEEE Geoscience and Remote Sensing Lettersen
html.description.abstractIn this letter, an improved algorithm for aerosol retrieval is presented by employing the non-Lambertian forward model (forward model) (NL_FM) in the Moderate Resolution Imaging Spectroradiometer (MODIS) dark target (DT) algorithm to reduce the uncertainties induced when using the Lambertian FM (L_FM). This new algorithm was applied to MODIS measurements of the whole year of 2008 over Eastern China. By comparing the results with that of AERONET, we found that the accuracy of the aerosol optical depth (AOD) retrieval was improved with the regression plots concentrating around the 1 : 1 line and two-thirds falling within the expected error (EE) envelope EE = ±0.05±0.1τ (from 53.6% with L_FM to 68.7% with NL_FM at band 0.55 μm). Surprisingly, more accurate retrieval of the AOD demonstrated significantly improved the Ångstrom exponent (AE) retrieval, which is related to particle size parameters. The regression plots tended to concentrate around the 1 : 1 line, and many more fell within the EE = ±0.4 from 53.6% with L_FM to 80.9% with NL_FM. These results demonstrate that including the NL_FM in the MODIS DT algorithm has the potential to significantly improve both AOD and AE retrievals with respect to AERONET in comparison to the L_FM used in the current MODIS operational retrievals.


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