Estimating monthly PM2.5 concentrations from satellite remote sensing data, meteorological variables, and land use data using ensemble statistical modeling and a random forest approach

Chen C.-C.Wang Y.-R.Yeh H.-Y.Lin T.-H.Huang C.-S.CHANG-FU WU2022-03-242022-03-2420210269-7491https://www.scopus.com/inward/record.uri?eid=2-s2.0-85115010456&doi=10.1016%2fj.envpol.2021.118159&partnerID=40&md5=6b2877fbb89dfdd9b1b8a41201db9a1ehttps://scholars.lib.ntu.edu.tw/handle/123456789/601994[SDGs]SDG15Estimating monthly PM2.5 concentrations from satellite remote sensing data, meteorological variables, and land use data using ensemble statistical modeling and a random forest approachjournal article10.1016/j.envpol.2021.118159345439522-s2.0-85115010456