Estimating Hourly PM<sub>2.5</sub> Over South Korea Using a Machine Learning Approach and the TOA Reflectance From GOCI-I, II Satellite

Choi, Hyunyoung

Estimating Hourly PM_2.5 Over South Korea Using a Machine Learning Approach and the TOA Reflectance From GOCI-I, II Satellite

Hyunyoung Choi¹, Seonyoung Park², Yoojin Kang¹ and Jungho Im³, (1)Ulsan National Institute of Science and Technology, Urban and Environmental Engineering, Ulsan, Korea, Republic of (South), (2)Seoul National University of Science and Technology, Applied Artificial Intelligence, Seoul, South Korea, (3)Ulsan National Institute of Science and Technology, Urban and Environmental Engineering, Ulsan, South Korea

Estimating Hourly PM2.5 Over South Korea Using a Machine Learning Approach and the TOA Reflectance From GOCI-I, II Satellite

Estimating Hourly PM_2.5 Over South Korea Using a Machine Learning Approach and the TOA Reflectance From GOCI-I, II Satellite