Improved MODIS Aerosol Retrieval Using Modified VIS/SWIR Surface Albedo Ratio Over Urban Scenes

Oo, M. M.; Jerg, Matthias; Hernández, E.; Picón, Ana; Gross, Barry; Moshary, Fred; Ahmed, Sam

doi:10.1109/tgrs.2009.2028333

Cited by 36 publications

(28 citation statements)

References 24 publications

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“…Moreover, the ratio between 660 nm and 2130 nm BRDF derived surface reflectance (mean of ~0.68 with standard deviation of 0.03) is considerably higher than the MOD04 surface reflectance ratio (mean of ~0.5 with standard deviation of 0.02). Similar differences in the 660/2130 nm ratio of surface reflectance in an urban context have been found by Oo et al (2010) who compare the surface reflectance 600/2130 ratio of the MOD04 algorithm with the one derived from a high spectral resolution Hyperion dataset (Datt et al, 2003).…”

Section: Modis Aod Vs Pm Mass Concentrationssupporting

confidence: 72%

“…For example, He et al (2012) and Guang et al (2012) use a Bidirectional Reflectance Distribution Function (BRDF) model to calculate both the surface reflectance and the MODIS AOD simultaneously. An analysis of the MODIS AOD algorithm sensitivity to the surface reflectance assumptions is presented by Mielonen et al (2011), and modifications to the surface reflectance parameterization of the MODIS AOD algorithm are proposed by Oo et al (2010) and Mielonen et al (2011). Also, it has been shown that the MODIS algorithm is sensitive to thin cirrus contamination Roskovensky and Liou, 2005).…”

Section: Introductionmentioning

confidence: 99%

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Satellite Retrievals of Aerosol Optical Depth over a Subtropical Urban Area: The Role of Stratification and Surface Reflectance

Escribano

Gallardo

Rondanelli

et al. 2014

Aerosol Air Qual. Res.

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We explore the relationship between satellite retrievals of aerosol optical depth (AOD) and surface aerosol mass concentrations over a subtropical urban area, namely, Santiago, Chile (33.5°S, 70.6°W, 500 m.a.s.l.). We compare 11 years of AOD from the MODerate resolution Imaging Spectroradiometer (MODIS) with in situ particulate matter mass concentrations (PM). MODIS AOD reaches its maximum in summer and minimum in winter, the opposite of the annual cycle of surface PM. To improve our understanding of the relevant governing processes, we use a simple model that estimates the boundary layer (BL) AOD based on measured PM, relative humidity and BL height (BLH) as well as best estimates of aerosol composition, size distribution, and optical properties. Model results indicate that a weak annual AOD cycle is due to the opposite annual cycles in BLH and PM, which is largely supported by the Aerosol Robotic NETwork (AERONET) data collected in 2001 and 2002 in Santiago. We identify a possible bias linked to the operational estimate of surface reflectance that may lead to a spurious summer maximum in MODIS AOD over Santiago. This misfit in surface reflectance appears to affect not only Santiago but also a significant area of the semi-arid Southern South America. Sensitivity experiments with the simple model indicate an underestimate of simulated AOD as compared to AERONET data. This underestimate points to the possible role of residual aerosol layers in the AOD measured at the surface (not included in the simple model). Cirrus clouds appear not to play a significant role in explaining the MODIS AOD seasonality. The need for improved characterizations of aerosol properties and their temporal and spatial distribution in cities such as Santiago is emphasized.

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Section: Modis Aod Vs Pm Mass Concentrationssupporting

confidence: 72%

Section: Introductionmentioning

confidence: 99%

Satellite Retrievals of Aerosol Optical Depth over a Subtropical Urban Area: The Role of Stratification and Surface Reflectance

Escribano

Gallardo

Rondanelli

et al. 2014

Aerosol Air Qual. Res.

View full text Add to dashboard Cite

show abstract

“…Similar issues arise for urban centers which also have higher albedos and high aerosol loadings, such as Bangkok, Hanoi, and Jakarta. In general, MODIS Col. 5 is known to have difficulty and high biases in these types of land surfaces Oo et al, 2010;Hyer et al, 2011).…”

Section: Seawifs Deep Blue and The Lower Boundary Conditionsmentioning

confidence: 99%

Observing and understanding the Southeast Asian aerosol system by remote sensing: An initial review and analysis for the Seven Southeast Asian Studies (7SEAS) program

Reid¹,

Hyer²,

Johnson

et al. 2013

Atmospheric Research

290

264

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“…Like the VIIRS_EDR, the VIIRS_ML shows the largest bias over the Beijing urban site. Since the urban surface reflectance may be underestimated in the "dark-target" algorithm, this can lead to an overestimation of AOD [37]. The VIIRS_ML AOD over XiangHe performs the best with the highest values of R and %EE but the MB is not the lowest and it is higher than that between the VIIRS_EDR and CE318 (MB of (−0.02)-0.00).…”

Section: Evaluation Of the Viirs_ml Aod At 550 Nmmentioning

confidence: 99%

“…The biases of each wavelength can reach 0.2. One of the possible reasons for the larger bias over Beijing may be that the VIIRS_ML algorithm is actually the Dark-Target aerosol retrieval algorithm and this algorithm may overestimate the AOD values over bright surfaces such as urban centers by 0.2 [22,37]. The large VIIRS_ML biases may also be related to the errors of aerosol model type (to be discussed in next section).…”

Section: Evaluation Of the Viirs Aod At Red And Blue Bandsmentioning

confidence: 99%

Evaluation of Aerosol Optical Depth and Aerosol Models from VIIRS Retrieval Algorithms over North China Plain

et al. 2017

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Abstract:The first Visible Infrared Imaging Radiometer Suite (VIIRS) was launched on Suomi National Polar-orbiting Partnership (S-NPP) satellite in late 2011. Similar to the Moderate resolution Imaging Spectroradiometer (MODIS), VIIRS observes top-of-atmosphere spectral reflectance and is potentially suitable for retrieval of the aerosol optical depth (AOD). The VIIRS Environmental Data Record data (VIIRS_EDR) is produced operationally by NOAA, and is based on the MODIS atmospheric correction algorithm. The "MODIS-like" VIIRS data (VIIRS_ML) are being produced experimentally at NASA, from a version of the "dark-target" algorithm that is applied to MODIS. In this study, the AOD and aerosol model types from these two VIIRS retrieval algorithms over the North China Plain (NCP) are evaluated using the ground-based CE318 Sunphotometer (CE318) measurements during 2 May 2012-31 March 2014 at three sites. These sites represent three different surface types: urban (Beijing), suburban (XiangHe) and rural (Xinglong). Firstly, we evaluate the retrieved spectral AOD. For the three sites, VIIRS_EDR AOD at 550 nm shows a positive mean bias (MB) of 0.04-0.06 and the correlation of 0.83-0.86, with the largest MB (0.10-0.15) observed in Beijing. In contrast, VIIRS_ML AOD at 550 nm has overall higher positive MB of 0.13-0.14 and a higher correlation (0.93-0.94) with CE318 AOD. Secondly, we evaluate the aerosol model types assumed by each algorithm, as well as the aerosol optical properties used in the AOD retrievals. The aerosol model used in VIIRS_EDR algorithm shows that dust and clean urban models were the dominant model types during the evaluation period. The overall accuracy rate of the aerosol model used in VIIRS_ML over NCP three sites (0.48) is higher than that of VIIRS_EDR (0.27). The differences in Single Scattering Albedo (SSA) at 670 nm between VIIRS_ML and CE318 are mostly less than 0.015, but high seasonal differences are found especially over the Xinglong site. The values of SSA from VIIRS_EDR are higher than that observed by CE318 over all sites and all assumed aerosol modes,

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Improved MODIS Aerosol Retrieval Using Modified VIS/SWIR Surface Albedo Ratio Over Urban Scenes

Cited by 36 publications

References 24 publications

Satellite Retrievals of Aerosol Optical Depth over a Subtropical Urban Area: The Role of Stratification and Surface Reflectance

Satellite Retrievals of Aerosol Optical Depth over a Subtropical Urban Area: The Role of Stratification and Surface Reflectance

Observing and understanding the Southeast Asian aerosol system by remote sensing: An initial review and analysis for the Seven Southeast Asian Studies (7SEAS) program

Evaluation of Aerosol Optical Depth and Aerosol Models from VIIRS Retrieval Algorithms over North China Plain

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