Abstract
To perform a high-resolution aerosol optical depth (AOD) inversion from the HJ-1 satellites, a dark pixel algorithm utilizing the HJ-1 satellite data was developed based on the Moderate-Resolution Imaging Spectroradiometer (MODIS) algorithm. By analyzing the relationship between the apparent reflectance from the 1.65 μm and 2.1 μm channels of MODIS, a method for estimating albedo using the 1.65 μm channel data of the HJ-1 satellites was established, and a high-resolution AOD inversion in the Chengdu region based on the HJ-1 satellite was completed. A comparison of the inversion results with CE318 measured data produced a correlation of 0.957, respectively, with an absolute error of 0.106. An analysis of the AOD inversion results from different aerosol models showed that the rural aerosol model was suitable as a general model for establishing an aerosol inversion look-up table for the Chengdu region.
Highlights
Aerosols have had a significant impact on the global climate and environment by altering the atmospheric radiation balance, resulting in global climate change
As for removing the contribution from surface reflection, there are different solutions for different satellite sensors, such as the multi-angle polarization method for the Polarization and Directionality of the Earth’s Reflectances/Polarization & Anisotropy of Reflectances for Atmospheric Sciences coupled with Observations from Lidar (POLDER/PARASOL) satellites [11], the structure function method for Thematic Mapper (TM) and Advanced Very High Resolution Radiometer (AVHRR) data [12,13], and bright target algorithms based on albedo database [14,15]
1.65 μm channel and 2.1 μm channel were highly consistent and were capable of removing the contribution from surface reflection; the inversion result cannot be differentiated by the naked eye
Summary
Aerosols have had a significant impact on the global climate and environment by altering the atmospheric radiation balance, resulting in global climate change. A common method of performing aerosol inversion for the HJ-1 satellite data is to use the normalized differential vegetation index (NDVI) to determine the dark pixels and to retrieve the AOD according to the red/blue channel ratio in specific land-cover types, assuming that the dark pixels are homogenous land cover [20]. This method has limitations that affect the accuracy of the inversion results. We used the charge-coupled device (CCD) and IRS data of the HJ-1 satellites to resolve the two primary problems related to performing AOD inversion and realize AOD inversion in the Chengdu region
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