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Remote Sensing Techniques for Assessing Successional Changes on Former Military Areas

cris.virtual.author-orcid0000-0001-6552-7055
cris.virtual.author-orcid#PLACEHOLDER_PARENT_METADATA_VALUE#
cris.virtual.author-orcid0000-0003-3614-8923
cris.virtualsource.author-orcid7e48eedb-75f2-4b92-9a65-22121228dd9f
cris.virtualsource.author-orcid#PLACEHOLDER_PARENT_METADATA_VALUE#
cris.virtualsource.author-orcid69d1f572-aa7c-4033-bbf6-36b1ecc5c2c5
dc.abstract.enRemote sensing plays a crucial role in monitoring and evaluating transformations of vegetation cover. Of particular interest in this type of research are former military areas, which may bear traces of soil contamination and significant alterations from military activities for many years. The use of satellite and aerial data, including multispectral and hyperspectral imagery, as well as LiDAR data, allows for tracking the dynamics of vegetation development, from initial colonization stages to more advanced stages of forest succession. This approach was utilized in an analysis of a former military unit area spanning 63 hectares. The data sources included, among others, aerial photos from 1995, 2010, 2014, and 2016, along with a digital terrain model. 14 years after the military unit withdrew from the occupied area, advanced successional changes were observed, largely masking the traces of former military activity. However, noteworthy differences in the dynamics of plant growth allowed for the detection of traces of former military structures. Such observations may also potentially be useful in identifying areas modified by humans in the more distant past (a subject of interest in archaeology).
dc.affiliationWydział Leśny i Technologii Drewna
dc.affiliation.instituteKatedra Botaniki i Siedliskoznawstwa Leśnego
dc.contributor.authorKonatowska, Monika
dc.contributor.authorRączkowski, Włodzimierz
dc.contributor.authorRutkowski, Paweł
dc.date.access2026-02-11
dc.date.accessioned2026-02-11T19:29:30Z
dc.date.available2026-02-11T19:29:30Z
dc.date.copyright2025-10-30
dc.date.issued2025
dc.description.accesstimeat_publication
dc.description.bibliographyil., bibliogr.
dc.description.financepublication_nocost
dc.description.financecost0,00
dc.description.number10
dc.description.points5
dc.description.versionfinal_published
dc.description.volume13
dc.identifier.doi10.4236/gep.2025.1310011
dc.identifier.eissn2327-4344
dc.identifier.issn2327-4336
dc.identifier.urihttps://sciencerep.up.poznan.pl/handle/item/7307
dc.identifier.weblinkhttp://www.scirp.org/journal/paperinformation?paperid=146857
dc.languageen
dc.relation.ispartofJournal of Geoscience and Environment Protection
dc.relation.pages209-221
dc.rightsCC-BY
dc.sciencecloudnosend
dc.share.typeOPEN_JOURNAL
dc.subject.enaerial photos
dc.subject.enterrestrial plant succession
dc.subject.endigital terrain model
dc.titleRemote Sensing Techniques for Assessing Successional Changes on Former Military Areas
dc.typeJournalArticle
dspace.entity.typePublication
oaire.citation.issue10
oaire.citation.volume13