Improving MISR AOD Retrievals With Low-Light-Level Corrections for Veiling Light
Operational retrievals of aerosol optical depth (AOD) from Multi-angle Imaging SpectroRadiometer (MISR) data have been shown to have a high bias in pristine oceanic areas. One line of evidence involves comparison with Maritime Aerosol Network (MAN) observations, including the areas of low aerosol lo...
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description | Operational retrievals of aerosol optical depth (AOD) from Multi-angle Imaging SpectroRadiometer (MISR) data have been shown to have a high bias in pristine oceanic areas. One line of evidence involves comparison with Maritime Aerosol Network (MAN) observations, including the areas of low aerosol loading close to Antarctica. In this paper, a principal reason for the AOD overestimation is identified, which is stray light measured by the MISR cameras in dark regions of high-contrast scenes. A small fraction of the light from surrounding bright areas, such as clouds or sea ice, is redistributed to dark areas, artificially increasing their brightness. Internal reflections and light scattering from optical elements in MISR's pushbroom cameras contribute to this veiling light effect. A simple correction model is developed that relies on the average scene brightness and an empirically determined set of veiling light coefficients for each MISR camera and wavelength. Several independent methods are employed to determine these coefficients. Three sets of coefficients are further implemented and tested in prototype MISR 4.4-km AOD retrievals. The results show dramatic improvements in retrieved AODs compared against MAN observations and the currently operational V22 MISR retrievals. For the best performing set of coefficients, the bias is reduced by 51%, from 0.039 to 0.019, the RMSE is lowered by 19%, from 0.062 to 0.050, and 84% of retrievals fall within the uncertainty envelope compared with 66% of retrievals in V22. The best performing set will be implemented operationally in the next V23 MISR AOD product release. |
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One line of evidence involves comparison with Maritime Aerosol Network (MAN) observations, including the areas of low aerosol loading close to Antarctica. In this paper, a principal reason for the AOD overestimation is identified, which is stray light measured by the MISR cameras in dark regions of high-contrast scenes. A small fraction of the light from surrounding bright areas, such as clouds or sea ice, is redistributed to dark areas, artificially increasing their brightness. Internal reflections and light scattering from optical elements in MISR's pushbroom cameras contribute to this veiling light effect. A simple correction model is developed that relies on the average scene brightness and an empirically determined set of veiling light coefficients for each MISR camera and wavelength. Several independent methods are employed to determine these coefficients. Three sets of coefficients are further implemented and tested in prototype MISR 4.4-km AOD retrievals. The results show dramatic improvements in retrieved AODs compared against MAN observations and the currently operational V22 MISR retrievals. For the best performing set of coefficients, the bias is reduced by 51%, from 0.039 to 0.019, the RMSE is lowered by 19%, from 0.062 to 0.050, and 84% of retrievals fall within the uncertainty envelope compared with 66% of retrievals in V22. The best performing set will be implemented operationally in the next V23 MISR AOD product release.</description><identifier>ISSN: 0196-2892</identifier><identifier>EISSN: 1558-0644</identifier><identifier>DOI: 10.1109/TGRS.2017.2727342</identifier><identifier>CODEN: IGRSD2</identifier><language>eng</language><publisher>New York: IEEE</publisher><subject>Aerosols ; Air pollution ; Bias ; Brightness ; Cameras ; Clouds ; Coefficients ; Corrections ; Imaging techniques ; Lenses ; Light ; Light scattering ; Meteorological satellites ; MODIS ; Optical analysis ; Optical components ; Prototypes ; remote sensing ; Satellites ; Sea ice ; Spectroradiometers ; Stray light ; Wavelength</subject><ispartof>IEEE transactions on geoscience and remote sensing, 2018-03, Vol.56 (3), p.1251-1268</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2018</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c293t-1b4c64fe1177ea9be06c751ca4bff63a6f03acaa42f7ad5150f83735b6b4d7563</citedby><cites>FETCH-LOGICAL-c293t-1b4c64fe1177ea9be06c751ca4bff63a6f03acaa42f7ad5150f83735b6b4d7563</cites><orcidid>0000-0002-0675-4458</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/8207771$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,780,784,796,27924,27925,54758</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/8207771$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Witek, Marcin L.</creatorcontrib><creatorcontrib>Diner, David J.</creatorcontrib><creatorcontrib>Garay, Michael J.</creatorcontrib><creatorcontrib>Xu, Feng</creatorcontrib><creatorcontrib>Bull, Michael A.</creatorcontrib><creatorcontrib>Seidel, Felix C.</creatorcontrib><title>Improving MISR AOD Retrievals With Low-Light-Level Corrections for Veiling Light</title><title>IEEE transactions on geoscience and remote sensing</title><addtitle>TGRS</addtitle><description>Operational retrievals of aerosol optical depth (AOD) from Multi-angle Imaging SpectroRadiometer (MISR) data have been shown to have a high bias in pristine oceanic areas. One line of evidence involves comparison with Maritime Aerosol Network (MAN) observations, including the areas of low aerosol loading close to Antarctica. In this paper, a principal reason for the AOD overestimation is identified, which is stray light measured by the MISR cameras in dark regions of high-contrast scenes. A small fraction of the light from surrounding bright areas, such as clouds or sea ice, is redistributed to dark areas, artificially increasing their brightness. Internal reflections and light scattering from optical elements in MISR's pushbroom cameras contribute to this veiling light effect. A simple correction model is developed that relies on the average scene brightness and an empirically determined set of veiling light coefficients for each MISR camera and wavelength. Several independent methods are employed to determine these coefficients. Three sets of coefficients are further implemented and tested in prototype MISR 4.4-km AOD retrievals. The results show dramatic improvements in retrieved AODs compared against MAN observations and the currently operational V22 MISR retrievals. For the best performing set of coefficients, the bias is reduced by 51%, from 0.039 to 0.019, the RMSE is lowered by 19%, from 0.062 to 0.050, and 84% of retrievals fall within the uncertainty envelope compared with 66% of retrievals in V22. The best performing set will be implemented operationally in the next V23 MISR AOD product release.</description><subject>Aerosols</subject><subject>Air pollution</subject><subject>Bias</subject><subject>Brightness</subject><subject>Cameras</subject><subject>Clouds</subject><subject>Coefficients</subject><subject>Corrections</subject><subject>Imaging techniques</subject><subject>Lenses</subject><subject>Light</subject><subject>Light scattering</subject><subject>Meteorological satellites</subject><subject>MODIS</subject><subject>Optical analysis</subject><subject>Optical components</subject><subject>Prototypes</subject><subject>remote sensing</subject><subject>Satellites</subject><subject>Sea ice</subject><subject>Spectroradiometers</subject><subject>Stray light</subject><subject>Wavelength</subject><issn>0196-2892</issn><issn>1558-0644</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNo9kE1PAjEQhhujiYj-AOOliefFTj93jwQVSdZgAPXYdJcWSoDFdsH4790V4mkuz_vOzIPQLZAeAMkeZsPJtEcJqB5VVDFOz1AHhEgTIjk_Rx0CmUxomtFLdBXjihDgAlQHvY02u1Ad_HaBX0fTCe6PH_HE1sHbg1lH_OnrJc6r7yT3i2Wd5PZg13hQhWDL2lfbiF0V8If167bgj7lGF65J2pvT7KL356fZ4CXJx8PRoJ8nJc1YnUDBS8mdBVDKmqywRJZKQGl44ZxkRjrCTGkMp06ZuQBBXMoUE4Us-FwJybro_tjbnP-1t7HWq2ofts1KTUE1z4GCrKHgSJWhijFYp3fBb0z40UB0K0634nQrTp_ENZm7Y8Zba__5lBKlFLBfXKpo6w</recordid><startdate>20180301</startdate><enddate>20180301</enddate><creator>Witek, Marcin L.</creator><creator>Diner, David J.</creator><creator>Garay, Michael J.</creator><creator>Xu, Feng</creator><creator>Bull, Michael A.</creator><creator>Seidel, Felix C.</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. 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The results show dramatic improvements in retrieved AODs compared against MAN observations and the currently operational V22 MISR retrievals. For the best performing set of coefficients, the bias is reduced by 51%, from 0.039 to 0.019, the RMSE is lowered by 19%, from 0.062 to 0.050, and 84% of retrievals fall within the uncertainty envelope compared with 66% of retrievals in V22. The best performing set will be implemented operationally in the next V23 MISR AOD product release.</abstract><cop>New York</cop><pub>IEEE</pub><doi>10.1109/TGRS.2017.2727342</doi><tpages>18</tpages><orcidid>https://orcid.org/0000-0002-0675-4458</orcidid></addata></record> |
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subjects | Aerosols Air pollution Bias Brightness Cameras Clouds Coefficients Corrections Imaging techniques Lenses Light Light scattering Meteorological satellites MODIS Optical analysis Optical components Prototypes remote sensing Satellites Sea ice Spectroradiometers Stray light Wavelength |
title | Improving MISR AOD Retrievals With Low-Light-Level Corrections for Veiling Light |
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