Evaluating different satellite-based Aerosol Optical Depth (AOD) in predicting inland daytime PM2.5 using machine learning-based regression approach
Roseanne V. Ramos,Mark Joseph R. Calubad,and Alvin Christopher G. Varquez
Roseanne V. Ramos
Department of Transdisciplinary Science and Engineering, School of Environment and Society, Institute of Science Tokyo, Meguro-ku, Tokyo 152-8550, Japan
Department of Geodetic Engineering, University of the Philippines, Diliman, Quezon City, Philippines
Mark Joseph R. Calubad
Department of ICT Integrated Ocean Smart City Engineering, Dong-A University, Busan, South Korea
Department of Transdisciplinary Science and Engineering, School of Environment and Society, Institute of Science Tokyo, Meguro-ku, Tokyo 152-8550, Japan
Viewed
Total article views: 75 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
50
18
7
75
4
5
HTML: 50
PDF: 18
XML: 7
Total: 75
BibTeX: 4
EndNote: 5
Views and downloads (calculated since 23 Jul 2026)
Cumulative views and downloads
(calculated since 23 Jul 2026)
Viewed (geographical distribution)
Total article views: 60 (including HTML, PDF, and XML)
Thereof 60 with geography defined
and 0 with unknown origin.