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Monitoring forest biodiversity and the impact of climate on forest environment using high-resolution satellite images

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cris.lastimport.scopus2024-02-12T20:15:15Z
dc.abstract.enThe main objectives of the research work were to determine the usefulness of Landsat and SPOT data for monitoring various forest parameters, and to assess the impact of changeable climatic conditions with the use of vegetation indices derived from remotely sensed data. Vegetation indices describing various aspects of plant condition and vegetation structure were derived from satellite images, and their values were analysed in a temporal profile in different vegetation seasons, in conjunction with meteorological parameters. The results of analyses proved that dedicated vegetation indices of water stress in plants – the disease water stress index (DSWI) and normalized difference infrared index (NDII) – are able to detect changeable climatic conditions, especially the impact of drought on forest ecosystems. The indices are also useful for characterising types of forest site and tree stand mixture, in particular differentiating dry, fresh and humid forest sites. Results of analysis of satellite-based indices were supported by conclusions drawn from a study of vegetation parameters obtained in the course of field campaigns.
dc.affiliationUniwersytet Warszawski
dc.contributor.authorBochenek, Zbigniew
dc.contributor.authorOchtyra, Adrian
dc.contributor.authorZiółkowski, Dariusz
dc.contributor.authorBartold, Maciej
dc.contributor.authorOrłowska, Karolina
dc.date.accessioned2024-01-25T12:53:51Z
dc.date.available2024-01-25T12:53:51Z
dc.date.copyright2017-12-26
dc.date.issued2018
dc.description.accesstimeBEFORE_PUBLICATION
dc.description.financeNie dotyczy
dc.description.number1
dc.description.versionFINAL_PUBLISHED
dc.description.volume51
dc.identifier.doi10.1080/22797254.2017.1414573
dc.identifier.urihttps://repozytorium.uw.edu.pl//handle/item/112906
dc.identifier.weblinkhttps://www.tandfonline.com/doi/full/10.1080/22797254.2017.1414573
dc.languageeng
dc.pbn.affiliationsocio-economic geography and spatial management
dc.relation.ispartofEuropean Journal of Remote Sensing
dc.relation.pages166-181
dc.rightsCC-BY-SA
dc.sciencecloudnosend
dc.subject.enClimate impact
dc.subject.endrought impact
dc.subject.envegetation index
dc.subject.enhigh-resolution data
dc.subject.enforest monitoring
dc.titleMonitoring forest biodiversity and the impact of climate on forest environment using high-resolution satellite images
dc.typeJournalArticle
dspace.entity.typePublication