Abstract
Aerosols play an important role in climate change and environmental pollution, and monitoring of aerosols via remote sensing is of great significance. However, for urban areas that are closely related to people's lives, remote sensing monitoring of aerosol optical depth (AOD) faces major challenges. These surface types, with bidirectional reflection characteristics, have a high surface reflectivity that is not sensitive to aerosol changes. Therefore, surface reflectivity must be calculated with high precision, which can be difficult using existing methods. To overcome these problems, this paper provides a MODIS AOD inversion method for complex background conditions that is supported by BRDF/Albedo products. Using these products, the accuracy of surface reflectivity and the resulting inversion results of aerosols are improved. Three typical complex background areas (Beijing, Baltimore and Paris) were selected for application testing. AOD inversion was calculated using MODIS BRDF/Albedo data for 6 years from 2012 to 2017. Accuracy was verified using the AERONET ground-based observations in the corresponding areas, and results were compared with the existing MODIS aerosol product (MOD04 AOD). Inversion estimates using this method have a higher correlation with AERONET AOD (R = 0.948). The root mean square error is 0.107, and 70.08% of the points are less than the expected error. When compared with MOD04 AOD products in urban areas, the inversion results of the new algorithm have higher precision and stability.
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Acknowledgements
The MODIS radiometric calibration products, albedo products and aerosol products in this paper were provided by the NASA; we are very grateful. We would also like to thank AERONET for ground-based observations of atmospheric aerosols.
Funding
This research was funded by the National Natural Science Foundation of China, Grant No. 41771408; Shandong Natural Science Foundation, Grant No. ZR2019MD022; Shandong Natural Science Foundation, Grant No. ZR2017MD001.
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Lin Sun was involved in conceptualization and formal analysis; Wenhua Zhang contributed to methodology, software and writing-original draft preparation; Wenhua Zhang, Lishu Lian and Yikun Yang were involved in validation; Lin Sun and Lishu Lian were involved in writing-review and editing and funding acquisition.
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Zhang, W., Sun, L., Lian, L. et al. MODIS Aerosol Optical Depth Inversion Over Urban Areas Supported by BRDF/Albedo Products. J Indian Soc Remote Sens 48, 1345–1354 (2020). https://doi.org/10.1007/s12524-020-01129-0
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DOI: https://doi.org/10.1007/s12524-020-01129-0