An Evaluation of Four MODIS Collection 6 Aerosol Products in a Humid Subtropical Region

Zhang, Ming; Huang, Bo; He, Qingqing

doi:10.3390/rs9111173

Cited by 10 publications

(7 citation statements)

References 42 publications

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“…However, neither of the products consistently outperform the others at the studying areas. DT and DT-DB products expressed almost identical values of the investigated statistics, and similar patterns of scatter plots, which was also reported by Zhang et al [11]. At all investigated stations, although there were small differences in terms of R 2 , RMSE, DT and DT-DB algorithms had significantly higher number of collocations than that of DB algorithm.…”

Section: Overall Agreement Between Modis and Aeronet Aodssupporting

confidence: 87%

“…It is noticed that the number of collocations of DB AOD product at the Bac Lieu -an urban coastal station, was significantly low. This result can be explained that the heterogeneity of the underlying surface over the coastal urban areas causes the difficulties in accurately determining the surface reflectance [11]. Additionally, all three MODIS AOD products substantially overestimated aerosol loading at Bac Lieu station (the RMB values were from 1.246 to 1.302).…”

Section: Overall Agreement Between Modis and Aeronet Aodsmentioning

confidence: 95%

“…Linear fitting for MODIS AOD with respect to AERONET AOD is one of the main methods used in this study for validating the precision and accuracy of MODIS AODs [7][8][9][10][11]. All of the quantitative parameters (slope, intercept, and R 2 ) serve as useful indicators of the local spatial characteristics of the aerosol parameter (AOD) at a particular location and time [7].…”

Section: Data Processing and Validationmentioning

confidence: 99%

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Inter-Comparison Between Modis Satellite-Based and Aeronet Ground-Based Aerosol Optical Depth Products in Vietnam

Nguyễn

Bui

Nguyen

et al. 2020

JST

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Although a number of studies have extensively inter-compared the Moderate Resolution Imaging Spectroradiometer (MODIS) satellite-based aerosol optical depth (AOD) with the Aerosol Robotic Network (AERONET) ground-based AOD on both global and regional scales, almost no similar studies have been conducted for Vietnam - a humid subtropical climate region. For the first time, inter-comparison between the MODIS Terra and Aqua Collection 6.1 (C6.1) Dark Target (DT) 10 km, Deep Blue (DB) 10 km, and merged DT-DB 10 km with the AERONET AODs has been performed in different areas with different surface types and different climatic characteristics in Vietnam. Three investigated AERONET stations are Nghia Do (urban), Son La (mountainous rural), and Bac Lieu (coastal urban) with the studying periods of 2010 - 2016, 2012 - 2017, and 2010 - 2017, respectively. Our findings showed the better performances of DB algorithm than those of DT and DT-DB products in the urban area. Additionally, all MODIS AOD algorithm performed worse over the coastal area compared to those in the non-coastal areas. Generally, the ability of all the MODIS AODs to catch up the monthly-mean AERONET AODs has been expressed in this study.

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Section: Overall Agreement Between Modis and Aeronet Aodssupporting

confidence: 87%

Section: Overall Agreement Between Modis and Aeronet Aodsmentioning

confidence: 95%

Section: Data Processing and Validationmentioning

confidence: 99%

See 1 more Smart Citation

Inter-Comparison Between Modis Satellite-Based and Aeronet Ground-Based Aerosol Optical Depth Products in Vietnam

Nguyễn

Bui

Nguyen

et al. 2020

JST

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“…Satellite-derived AOD products provide a unique tool to monitor aerosol properties at regional and global scales. Moderate resolution Imaging Spectroradiometer (MODIS) AOD is widely used to characterize the spatiotemporal change of atmospheric aerosols because it has been extensively validated and provides continuous observations extending for nearly two decades [14][15][16]. Numerous studies have used MODIS AOD to study the long-term spatiotemporal variation of aerosols at regional and global scales [17][18][19][20][21][22][23][24][25].…”

Section: Introductionmentioning

confidence: 99%

Multi-Time Scale Analysis of Regional Aerosol Optical Depth Changes in National-Level Urban Agglomerations in China Using Modis Collection 6.1 Datasets from 2001 to 2017

Zhang

Yao

2019

Remote Sensing

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With the rapid development of China’s economy and industry, characterizing the spatial and temporal changes of aerosols in China has attracted widespread attention from researchers. The national-level urban agglomerations are the most concentrated areas of China’s economic, population and resource. Studying the spatial and temporal changes of aerosol optical depth (AOD) in these regions has practical guiding significance for effective monitoring of atmospheric particulate pollution. This paper analyzed the spatial and temporal variations of AOD in China’s urban agglomerations during 2001–2017 by using Terra Moderate resolution Imaging Spectroradiometer (MODIS) Collection 6.1 (C6.1) Level 2 aerosol products (MOD04_L2). Five national-level urban agglomerations were chosen: Yangtze River Delta (YRD), Pearl River Delta (PRD), Beijing-Tianjin-Hebei (BTH), Yangtze River Middle-Reach (YRMR) and Cheng-Yu (CY). We analyzed the change patterns of AOD in different urban agglomerations at multi-time scales and built a time series decomposition model to mine the long-term trend, seasonal variation and abnormal change information of AOD time series. The result indicated that averaged AOD values in the five urban agglomerations were basically increased first and then decreased at the annual time scale during 2001–2017. The averaged AOD showed strong seasonal differences and AOD values in spring and summer were typically higher than those in autumn and winter. At the monthly time scale, the AOD typically varied from low in cold months to high in warm months and then decreased during the rainy periods. Time series decompositions revealed that a notable transition around 2007–2008 dominated the long-term overall trend over the five selected urban agglomerations and an initial upward tendency followed by a downward tendency was observed during 2001–2017. This study can be utilized to provide decision-making basis for atmospheric environmental governance and future development of urban agglomerations.

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“…The observations covering the Nanjing region involve two scenes of H27V05 and H28V05 of MOD09A1, with a spatial resolution of 500 m and temporal resolution of 8d. The MOD04_3K products using the DT algorithm have higher accuracy and resolution than the MOD04_L2 aerosol products and, therefore, were chosen for accuracy validation against the AODs retrieved from the Landsat 8 OLI in this study [29,36].…”

Section: Study Datasets 221 Landsat 8 Olimentioning

confidence: 99%

Retrieval of Urban Aerosol Optical Depth from Landsat 8 OLI in Nanjing, China

et al. 2021

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Aerosol is an essential parameter for assessing the atmospheric environmental quality, and accurate monitoring of the aerosol optical depth (AOD) is of great significance in climate research and environmental protection. Based on Landsat 8 Operational Land Imager (OLI) images and MODIS09A1 surface reflectance products under clear skies with limited cloud cover, we retrieved the AODs in Nanjing City from 2017 to 2018 using the combined Dark Target (DT) and Deep Blue (DB) methods. The retrieval accuracy was validated by in-situ CE-318 measurements and MOD04_3K aerosol products. Furthermore, we analyzed the spatiotemporal distribution of the AODs and discussed a case of high AOD distribution. The results showed that: (1) Validated by CE-318 and MOD04_3K data, the correlation coefficient (R), root mean square error (RMSE), and mean absolute error (MAE) of the retrieved AODs were 0.874 and 0.802, 0.134 and 0.188, and 0.099 and 0.138, respectively. Hence, the combined DT and DB algorithms used in this study exhibited a higher performance than the MOD04_3K-obtained aerosol products. (2) Under static and stable meteorological conditions, the average annual AOD in Nanjing was 0.47. At the spatial scale, the AODs showed relatively high values in the north and west, low in the south, and the lowest in the center. At the seasonal scale, the AODs were highest in the summer, followed by spring, winter, and autumn. Moreover, changes were significantly higher in the summer than in the other three seasons, with little differences among spring, autumn, and winter. (3) Based on the spatial and seasonal characteristics of the AOD distribution in Nanjing, a case of high AOD distribution caused by a large area of external pollution and local meteorological conditions was discussed, indicating that it could provide extra details of the AOD distribution to analyze air pollution sources using fine spatial resolution like in the Landsat 8 OLI.

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An Evaluation of Four MODIS Collection 6 Aerosol Products in a Humid Subtropical Region

Cited by 10 publications

References 42 publications

Inter-Comparison Between Modis Satellite-Based and Aeronet Ground-Based Aerosol Optical Depth Products in Vietnam

Inter-Comparison Between Modis Satellite-Based and Aeronet Ground-Based Aerosol Optical Depth Products in Vietnam

Multi-Time Scale Analysis of Regional Aerosol Optical Depth Changes in National-Level Urban Agglomerations in China Using Modis Collection 6.1 Datasets from 2001 to 2017

Retrieval of Urban Aerosol Optical Depth from Landsat 8 OLI in Nanjing, China

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