id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
cet-14397		cet-14397		6	.pdf	application/pdf	2901	135	54	A publication of The Italian Association of Chemical Engineering Online at www.cetjournal.it Guest Editors: Petar S. Varbanov, Bohong Wang, Petro Kapustenko Copyright © 2023, AIDIC Servizi S.r.l. ISBN 979-12-81206-07-6; ISSN 2283-9216 Remote Sensing Supported Sustainable Forest Management in Hungary Tamás Molnár Resarch Fellow, Forest Research Institute, University of Sopron, Department of Ecology and Silviculture, Budapest, Hungary molnar-tamas@uni-sopron.hu Climate change and the growing number of forest damage demanded a response from forestry professionals. My results indicated that the satellite imagery and ground-based reports provided suitable input for sustainable forest damage monitoring.	cache/cet-14397.pdf	txt/cet-14397.txt