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An Improved DDV Algorithm for the Retrieval of Aerosol Optical Depth From NOAA/AVHRR Data

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Abstract

Aerosol Optical Depth (AOD) is one of the important parameters to characterize the physical properties of the atmospheric aerosol, which is used to describe the extinction characteristics of the aerosol, and also to calculate the aerosol content, to assess the degree of air pollution and to study aerosol climate effect. To study the historical change of aerosol in long-time series, the advanced very high resolution radiometer (AVHRR) data earliest used for aerosol research was used in this study. Due to the lack of shortwave infrared (SWIR) (center at 2.13 µm) of the sensor, the relationship between the blue and red bands with SWIR cannot be provided, and the visible band used to calculate the normalized difference vegetation index (NDVI) contains the wavelength range of red and green, it is very difficult to calculate the accurate land surface reflectance (LSR). Therefore, based on the Dense Dark Vegetation algorithm (DDV), we propose to introduce mature MODIS vegetation index products (MYD13) to correct AVHRR NDVI, to support the estimation of AVHRR LSR, determine the relationship between corrected AVHRR NDVI and visible band LSR, and to carry out aerosol retrieval. The results show that about 63% of the data are within the error line, and there is a consistent distribution trend in the inter-comparison validation with MODIS aerosol products (MYD04).

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Acknowledgements

The authors thank the AERONET principal investigators and their staff for maintaining the sites and providing the data. We also thank the Goddard Space Flight Center (http://ladsweb.nascom.nasa.gov) for providing the MODIS data and the National Geophysical Data Center (https://www.class.ngdc.noaa.gov/saa/products/welcome) for providing the AVHRR data used in this paper. This research was funded by National Natural Science Foundation of China (No. 41771408) and the Shandong Provincial Natural Science Foundation, China (No. ZR2017MD001 and NO. ZR2020QD055).

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Correspondence to Lin Sun.

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Li, R., Sun, L., Yu, H. et al. An Improved DDV Algorithm for the Retrieval of Aerosol Optical Depth From NOAA/AVHRR Data. J Indian Soc Remote Sens 49, 1141–1152 (2021). https://doi.org/10.1007/s12524-020-01301-6

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  • DOI: https://doi.org/10.1007/s12524-020-01301-6

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