Comparison and Evaluation of Different MODIS Aerosol Optical Depth Products Over the Beijing-Tianjin-Hebei Region in China

Many aerosol retrieval algorithms based on the remote sensing technology have been developed and applied to produce aerosol optical depth (AOD) products for different satellite sensors. The dark target (DT) and deep blue (DB) algorithms are two main MODIS aerosol retrieval algorithms that are suitab...

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Published in:	IEEE journal of selected topics in applied earth observations and remote sensing Vol. 10; no. 3; pp. 835 - 844
Main Authors:	Wei, Jing, Sun, Lin
Format:	Journal Article
Language:	English
Published:	Piscataway IEEE 01.03.2017 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Accuracy Adaptability Aerosol optical depth (AOD) Aerosol Robotic Network Aerosols Air pollution Algorithms Beijing-Tianjin-Hebei Collections Correlation dark target (DT) deep blue (DB) Evaluation Falling high-resolution aerosol retrieval algorithm with a prior LSR database support (HARLS) Land surface Landsat satellites Meteorological satellites moderate resolution imaging spectroradiometer (MODIS) MODIS Offsets Optical analysis Optical surface waves Products Reflectance Remote sensing Retrieval Satellites Sea surface Temperature Uncertainty Beijing China China Hebei China
ISSN:	1939-1404, 2151-1535
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Abstract	Many aerosol retrieval algorithms based on the remote sensing technology have been developed and applied to produce aerosol optical depth (AOD) products for different satellite sensors. The dark target (DT) and deep blue (DB) algorithms are two main MODIS aerosol retrieval algorithms that are suitable for dark or bright areas. The estimation of land surface reflectance (LSR) is necessary to improve the accuracy of AOD retrievals. Therefore, in this paper, a new procedure to improve LSR estimation using MODIS surface reflectance products is developed. A new high-resolution <;1000 m> aerosol retrieval algorithm with a priori LSR database support (HARLS) is proposed. The purpose of this paper is to evaluate the spatial adaptability of different MODIS AOD products produced by the above three algorithms. The Beijing-Tianjin-Hebei (Jing-Jin-Ji) region, which features complex surface structures and serious air pollution, was chosen as the study area, and the different AOD products are validated using aerosol robotic network (AERONET) AOD ground measurements from four stations located in dark and bright areas. Compared with the DT retrievals (R ≈ 0.88 - 0.95), the C6 DB AOD retrievals yield a stronger correlation (R ≈ 0.94 - 0.97) with AERONET AOD and lower RMSE, MRE and MAE values, resulting in approximately 20%-30% less average overestimation. The C6 DT&DBAODresultsshowaretrievalquality (R ≈ 0.93 - 0.97) similar to that of DB, with approximately 50%-70% of the collections falling within the expected error (EE). Moreover, DT&DB is much better than DT, with more than approximately 10%-20% of the collections falling within the EE. However, HARLS achieves a high correlation (R ≈ 0.93 - 0.96) with the AERONET AODs, with low RMSE (≈ 0.118 - 0.128) and MAE (≈ 0.09 - 0.12) and small offsets (intercept 0.00 - 0.04). HARLS retrievals exhibited 7%-8% less uncertainty than the C6 DB retrievals, 37%-38% less uncertainty than the C6 DT&DB retrievals, and 39%-44% less uncertainty than the C5 and C6 DT retrievals. HARLS achieves greater accuracy and reliability in AOD retrieval, and itis less biased (RMB ≈ 0.90 - 1.10) and better overall than the routine MODIS aerosol products over the Jing-Jin-Ji region.
AbstractList	Many aerosol retrieval algorithms based on the remote sensing technology have been developed and applied to produce aerosol optical depth (AOD) products for different satellite sensors. The dark target (DT) and deep blue (DB) algorithms are two main MODIS aerosol retrieval algorithms that are suitable for dark or bright areas. The estimation of land surface reflectance (LSR) is necessary to improve the accuracy of AOD retrievals. Therefore, in this paper, a new procedure to improve LSR estimation using MODIS surface reflectance products is developed. A new high-resolution <;1000 m> aerosol retrieval algorithm with a priori LSR database support (HARLS) is proposed. The purpose of this paper is to evaluate the spatial adaptability of different MODIS AOD products produced by the above three algorithms. The Beijing-Tianjin-Hebei (Jing-Jin-Ji) region, which features complex surface structures and serious air pollution, was chosen as the study area, and the different AOD products are validated using aerosol robotic network (AERONET) AOD ground measurements from four stations located in dark and bright areas. Compared with the DT retrievals (R ≈ 0.88 - 0.95), the C6 DB AOD retrievals yield a stronger correlation (R ≈ 0.94 - 0.97) with AERONET AOD and lower RMSE, MRE and MAE values, resulting in approximately 20%-30% less average overestimation. The C6 DT&DBAODresultsshowaretrievalquality (R ≈ 0.93 - 0.97) similar to that of DB, with approximately 50%-70% of the collections falling within the expected error (EE). Moreover, DT&DB is much better than DT, with more than approximately 10%-20% of the collections falling within the EE. However, HARLS achieves a high correlation (R ≈ 0.93 - 0.96) with the AERONET AODs, with low RMSE (≈ 0.118 - 0.128) and MAE (≈ 0.09 - 0.12) and small offsets (intercept 0.00 - 0.04). HARLS retrievals exhibited 7%-8% less uncertainty than the C6 DB retrievals, 37%-38% less uncertainty than the C6 DT&DB retrievals, and 39%-44% less uncertainty than the C5 and C6 DT retrievals. HARLS achieves greater accuracy and reliability in AOD retrieval, and itis less biased (RMB ≈ 0.90 - 1.10) and better overall than the routine MODIS aerosol products over the Jing-Jin-Ji region.
Author	Wei, Jing Sun, Lin
Author_xml	– sequence: 1 givenname: Jing surname: Wei fullname: Wei, Jing email: weijing_rs@163.com organization: Geomatics College, Shandong University of Science and Technology, Qingdao, China – sequence: 2 givenname: Lin surname: Sun fullname: Sun, Lin email: sunlin6@126.com organization: Geomatics College, Shandong University of Science and Technology, Qingdao, China
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Cites_doi	10.1080/01431161.2014.999171 10.1016/S1352-2310(97)00054-X 10.1016/j.rse.2010.02.015 10.1175/1520-0469(2002)059<0398:ALTROA>2.0.CO;2 10.1175/1520-0426(1999)016<1854:ORODC>2.0.CO;2 10.1109/36.581987 10.5194/amt-5-1761-2012 10.1029/1999JD900923 10.1364/AO.34.002765 10.1029/2010JD014601 10.5194/amt-6-2989-2013 10.1016/j.atmosenv.2005.05.052 10.1007/s11430-010-4134-5 10.1029/2001GL013205 10.1109/JSTARS.2015.2396491 10.1029/2007JD008479 10.1029/2006JD007811 10.1364/AO.38.007325 10.1001/jama.287.9.1132 10.1109/TGRS.2006.879540 10.1111/j.2153-3490.1964.tb00144.x 10.5194/amt-3-1255-2010 10.1002/2013JD020360 10.1002/2013JD020449 10.1002/jgrd.50712 10.5194/amt-6-1829-2013 10.1029/96JD03988 10.1029/2007JD008809 10.1029/JD093iD12p15955 10.1029/97JD01496 10.1016/j.atmosenv.2005.11.031 10.1109/TGRS.2004.824067 10.1109/JSTARS.2015.2481460 10.1038/nature01091 10.1016/j.envsci.2011.09.007 10.1007/BF02678280 10.1016/S1352-2310(00)00551-3 10.1289/ehp.0800335 10.1029/2001JD900133 10.1016/j.atmosenv.2011.08.017
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References	ref35 ref13 ref34 ref12 ref15 ref14 ref31 ref30 ref33 ref11 ref32 ref10 liang (ref29) 2005 ref2 ref1 ref17 ref16 ref19 ref18 sun (ref20) 2016; 8 ref46 ref24 ref45 ref23 ref48 ref26 ref47 ref25 ref42 ref22 ref44 ref21 ref43 wang (ref39) 2012; 16 ref28 ref27 ref8 ref7 vermote (ref41) 2006 ref9 huete (ref36) 2011; 1 ref4 vermote (ref37) 2008 ref3 ref6 ref5 ref40 levy (ref38) 2009
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SubjectTerms	Accuracy Adaptability Aerosol optical depth (AOD) Aerosol Robotic Network Aerosols Air pollution Algorithms Beijing-Tianjin-Hebei Collections Correlation dark target (DT) deep blue (DB) Evaluation Falling high-resolution aerosol retrieval algorithm with a prior LSR database support (HARLS) Land surface Landsat satellites Meteorological satellites moderate resolution imaging spectroradiometer (MODIS) MODIS Offsets Optical analysis Optical surface waves Products Reflectance Remote sensing Retrieval Satellites Sea surface Temperature Uncertainty
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Title	Comparison and Evaluation of Different MODIS Aerosol Optical Depth Products Over the Beijing-Tianjin-Hebei Region in China
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