Journal of Atmospheric and Environmental Optics, Volume. 19, Issue 2, 232(2024)
Inversion of aerosol optical depth in Guiyang City based on LightGBM
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Fig. 6. Distribution of the prediction error. (a) Urban; (b) non-urban
Table 1. The parameters of GF-4 PMS sensor
View tableView in ArticleTable 1. The parameters of GF-4 PMS sensor
Band Spectral range/μm Resolution ratio/m Revisit time/s Pan 0.45-0.90 50 20 Blue 0.45-0.52 50 Green 0.52-0.60 50 Red 0.63-0.69 50 Near-infrared (NIR) 0.76-0.90 50
Table 2. The modeling data
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Variable Abbreviations Spatial resolution Unit Source Aerosol optical depth AOD 3 km - MOD04_3K GF-4 surface reflectance GF4SR 50 m - GF-4 PMS Solar zenith angle SOZ - (°) GF-4 PMS Satellite zenith angle SAZ - (°) GF-4 PMS Relative azimuth angle REA - (°) GF-4 PMS Elevation EL - m SRTM DEM Normalized difference vegetation index NDVI - - GF-4 PMS
Table 3. The optimized model parameters
View tableView in ArticleTable 3. The optimized model parameters
Max_depth Learning_rate Num_leaves Lambda_l1 Lambda_l2 Num_boost_round 7 0.0336 75 4.0464 8.6628 2220
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Lilan PU, Xianyun ZHANG. Inversion of aerosol optical depth in Guiyang City based on LightGBM[J]. Journal of Atmospheric and Environmental Optics, 2024, 19(2): 232
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Received: Oct. 20, 2022
Accepted: --
Published Online: Jun. 24, 2024
The Author Email: Xianyun ZHANG (mec.xyzhang@gzu.edu.cn)
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