täiskirje prindi

An integrated remote sensing-machine learning framework for assessing plant air pollution tolerance using satellite-derived air quality and reanalysis meteorological data

autor
Hetti Arachchige, Chamila Priyankara
Soonsin, Vacharaporn
Witt, Emlyn David Qivitoq
vastutusandmed
Chamila Priyankara Hetti Arachchige, Vacharaporn Soonsin, Emlyn David Qivitoq Witt
allikas
Environmental Systems Research
kirjastus/väljaandja
ilmumisaasta
leitav
ISSN
2193-2697
Open Access
Open Access
teaduspublikatsioon
teaduspublikatsioon
keel
Inglise
märksõna
võtmesõna
air quality monitoring
air pollution impacts
remote sensing
multi-source satellite data
plant biomonitoring
green infrastructure
Hetti Arachchige, C. P., Soonsin, V., Witt, E. D. Q. An integrated remote sensing-machine learning framework for assessing plant air pollution tolerance using satellite-derived air quality and reanalysis meteorological data // Environmental Systems Research (2026) https://doi.org/10.1186/s40068-026-00477-z http://https://link.springer.com/article/10.1186/s40068-026-00477-z