11573/1749787 - 2025 -
Harnessing open remote sensing data and machine learning for daily ground-level ozone prediction models: Spatio-temporal insights in the continental biogeographical region Mamic, L.; Pirotti, F. - 01a Articolo in rivista
paper: ATMOSPHERIC POLLUTION RESEARCH (Elsevier B.V.
[s.l]: Turkish National Committee for Air Pollution Research and Control (TUNCAP).
Istanbul: HAVA KİRLENMESİ ARAŞTIRMALARI VE DENETİMİ TÜRK MİLLİ KOMİTESİ) pp. - - issn: 1309-1042 - wos: WOS:001454845900001 (1) - scopus: 2-s2.0-105000346747 (1)
11573/1690210 - 2023 -
Developing PM2.5 and PM10 prediction models on a national and regional scale using open-source remote sensing data Mamić, Luka; Gašparović, Mateo; Kaplan, Gordana - 01a Articolo in rivista
paper: ENVIRONMENTAL MONITORING AND ASSESSMENT (Springer Nature
Dordrecht Netherlands: Kluwer Academic Publishers) pp. - - issn: 0167-6369 - wos: WOS:000983200600001 (20) - scopus: 2-s2.0-85157967132 (22)