Adaption of the MODIS aerosol retrieval algorithm using airborne spectral surface reflectance measurements over urban areas: A case study

MODIS (MOderate-resolution Imaging Spectroradiometer) retrievals of aerosol optical depth (AOD) are biased over urban areas, primarily because the reflectance characteristics of urban surfaces are different than that assumed by the retrieval algorithm. Specifically, the operational "dark-target...

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Main Authors: Jäkel, E., Mey, B., Levy, R., Gu, X., Yu, T., Li, Z., Althausen, D., Heese, B., Wendisch, M.
Format: Article in Journal/Newspaper
Language:unknown
Published: München : European Geopyhsical Union 2015
Subjects:
550
Online Access:https://dx.doi.org/10.34657/764
https://oa.tib.eu/renate/handle/123456789/759
id ftdatacite:10.34657/764
record_format openpolar
spelling ftdatacite:10.34657/764 2023-05-15T13:07:13+02:00 Adaption of the MODIS aerosol retrieval algorithm using airborne spectral surface reflectance measurements over urban areas: A case study Jäkel, E. Mey, B. Levy, R. Gu, X. Yu, T. Li, Z. Althausen, D. Heese, B. Wendisch, M. 2015 application/pdf https://dx.doi.org/10.34657/764 https://oa.tib.eu/renate/handle/123456789/759 unknown München : European Geopyhsical Union Creative Commons Attribution 3.0 Unported CC BY 3.0 Unported https://creativecommons.org/licenses/by/3.0/legalcode cc-by-3.0 CC-BY aerosol property algorithm MODIS optical depth spectral reflectance surface reflectance urban area 550 CreativeWork article 2015 ftdatacite https://doi.org/10.34657/764 2022-03-10T12:42:45Z MODIS (MOderate-resolution Imaging Spectroradiometer) retrievals of aerosol optical depth (AOD) are biased over urban areas, primarily because the reflectance characteristics of urban surfaces are different than that assumed by the retrieval algorithm. Specifically, the operational "dark-target" retrieval is tuned towards vegetated (dark) surfaces and assumes a spectral relationship to estimate the surface reflectance in blue and red wavelengths. From airborne measurements of surface reflectance over the city of Zhongshan, China, were collected that could replace the assumptions within the MODIS retrieval algorithm. The subsequent impact was tested upon two versions of the operational algorithm, Collections 5 and 6 (C5 and C6). AOD retrieval results of the operational and modified algorithms were compared for a specific case study over Zhongshan to show minor differences between them all. However, the Zhongshan-based spectral surface relationship was applied to a much larger urban sample, specifically to the MODIS data taken over Beijing between 2010 and 2014. These results were compared directly to ground-based AERONET (AErosol RObotic NETwork) measurements of AOD. A significant reduction of the differences between the AOD retrieved by the modified algorithms and AERONET was found, whereby the mean difference decreased from 0.27±0.14 for the operational C5 and 0.19±0.12 for the operational C6 to 0.10±0.15 and -0.02±0.17 by using the modified C5 and C6 retrievals. Since the modified algorithms assume a higher contribution by the surface to the total measured reflectance from MODIS, consequently the overestimation of AOD by the operational methods is reduced. Furthermore, the sensitivity of the MODIS AOD retrieval with respect to different surface types was investigated. Radiative transfer simulations were performed to model reflectances at top of atmosphere for predefined aerosol properties. The reflectance data were used as input for the retrieval methods. It was shown that the operational MODIS AOD retrieval over land reproduces the AOD reference input of 0.85 for dark surface types (retrieved AOD = 0.87 (C5)). An overestimation of AOD = 0.99 is found for urban surfaces, whereas the modified C5 algorithm shows a good performance with a retrieved value of AOD = 0.86. Article in Journal/Newspaper Aerosol Robotic Network DataCite Metadata Store (German National Library of Science and Technology) Zhongshan ENVELOPE(76.371,76.371,-69.373,-69.373)
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language unknown
topic aerosol property
algorithm
MODIS
optical depth
spectral reflectance
surface reflectance
urban area
550
spellingShingle aerosol property
algorithm
MODIS
optical depth
spectral reflectance
surface reflectance
urban area
550
Jäkel, E.
Mey, B.
Levy, R.
Gu, X.
Yu, T.
Li, Z.
Althausen, D.
Heese, B.
Wendisch, M.
Adaption of the MODIS aerosol retrieval algorithm using airborne spectral surface reflectance measurements over urban areas: A case study
topic_facet aerosol property
algorithm
MODIS
optical depth
spectral reflectance
surface reflectance
urban area
550
description MODIS (MOderate-resolution Imaging Spectroradiometer) retrievals of aerosol optical depth (AOD) are biased over urban areas, primarily because the reflectance characteristics of urban surfaces are different than that assumed by the retrieval algorithm. Specifically, the operational "dark-target" retrieval is tuned towards vegetated (dark) surfaces and assumes a spectral relationship to estimate the surface reflectance in blue and red wavelengths. From airborne measurements of surface reflectance over the city of Zhongshan, China, were collected that could replace the assumptions within the MODIS retrieval algorithm. The subsequent impact was tested upon two versions of the operational algorithm, Collections 5 and 6 (C5 and C6). AOD retrieval results of the operational and modified algorithms were compared for a specific case study over Zhongshan to show minor differences between them all. However, the Zhongshan-based spectral surface relationship was applied to a much larger urban sample, specifically to the MODIS data taken over Beijing between 2010 and 2014. These results were compared directly to ground-based AERONET (AErosol RObotic NETwork) measurements of AOD. A significant reduction of the differences between the AOD retrieved by the modified algorithms and AERONET was found, whereby the mean difference decreased from 0.27±0.14 for the operational C5 and 0.19±0.12 for the operational C6 to 0.10±0.15 and -0.02±0.17 by using the modified C5 and C6 retrievals. Since the modified algorithms assume a higher contribution by the surface to the total measured reflectance from MODIS, consequently the overestimation of AOD by the operational methods is reduced. Furthermore, the sensitivity of the MODIS AOD retrieval with respect to different surface types was investigated. Radiative transfer simulations were performed to model reflectances at top of atmosphere for predefined aerosol properties. The reflectance data were used as input for the retrieval methods. It was shown that the operational MODIS AOD retrieval over land reproduces the AOD reference input of 0.85 for dark surface types (retrieved AOD = 0.87 (C5)). An overestimation of AOD = 0.99 is found for urban surfaces, whereas the modified C5 algorithm shows a good performance with a retrieved value of AOD = 0.86.
format Article in Journal/Newspaper
author Jäkel, E.
Mey, B.
Levy, R.
Gu, X.
Yu, T.
Li, Z.
Althausen, D.
Heese, B.
Wendisch, M.
author_facet Jäkel, E.
Mey, B.
Levy, R.
Gu, X.
Yu, T.
Li, Z.
Althausen, D.
Heese, B.
Wendisch, M.
author_sort Jäkel, E.
title Adaption of the MODIS aerosol retrieval algorithm using airborne spectral surface reflectance measurements over urban areas: A case study
title_short Adaption of the MODIS aerosol retrieval algorithm using airborne spectral surface reflectance measurements over urban areas: A case study
title_full Adaption of the MODIS aerosol retrieval algorithm using airborne spectral surface reflectance measurements over urban areas: A case study
title_fullStr Adaption of the MODIS aerosol retrieval algorithm using airborne spectral surface reflectance measurements over urban areas: A case study
title_full_unstemmed Adaption of the MODIS aerosol retrieval algorithm using airborne spectral surface reflectance measurements over urban areas: A case study
title_sort adaption of the modis aerosol retrieval algorithm using airborne spectral surface reflectance measurements over urban areas: a case study
publisher München : European Geopyhsical Union
publishDate 2015
url https://dx.doi.org/10.34657/764
https://oa.tib.eu/renate/handle/123456789/759
long_lat ENVELOPE(76.371,76.371,-69.373,-69.373)
geographic Zhongshan
geographic_facet Zhongshan
genre Aerosol Robotic Network
genre_facet Aerosol Robotic Network
op_rights Creative Commons Attribution 3.0 Unported
CC BY 3.0 Unported
https://creativecommons.org/licenses/by/3.0/legalcode
cc-by-3.0
op_rightsnorm CC-BY
op_doi https://doi.org/10.34657/764
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