Inversion of Aerosol Optical Depth Based on the CCD and IRS Sensors on the HJ-1 Satellites
1
College of Resources and Environment, Chengdu University of Information Technology, Chengdu, Sichuan 610225, China
2
State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China
*
Author to whom correspondence should be addressed.
Remote Sens. 2014, 6(9), 8760-8778; https://doi.org/10.3390/rs6098760
Received: 31 July 2014 / Accepted: 10 September 2014 / Published: 19 September 2014
(This article belongs to the Special Issue Aerosol and Cloud Remote Sensing)
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.
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Keywords:
aerosol optical depth; HJ-1 satellite; dark pixel; albedo
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MDPI and ACS Style
Zhang, Y.; Liu, Z.; Wang, Y.; Ye, Z.; Leng, L. Inversion of Aerosol Optical Depth Based on the CCD and IRS Sensors on the HJ-1 Satellites. Remote Sens. 2014, 6, 8760-8778.
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