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Spectral Indices as a Tool to Assess the Moisture Status of Forest Habitats

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dc.abstract.enMeasurement of water content in forest habitats is considered essential in ecological research on forests, climate change, or forest management. In the traditional forest habitat classification, two systems of habitat conditions analysis are found: single factor and multifactor methods. Both are laborious and therefore costly. Remote sensing methods provide a low-cost alternative. The aim of the presented study was to find the relationship between the spectral indices obtained from satellite images and the forest habitats moisture indices used traditionally in the Polish forest habitats classification. The scientific hypothesis of the research is as follows: it is possible to assess the variation in the humidity of forest habitats on the basis of spectral indices. Using advanced geographic information system (GIS) technology, 923 research plots were tested, where habitat studies performed with the traditional methods were compared with the analysis of 191 spectral indices calculated for Sentinel-2 image data. The normalized difference vegetation index (NDVI) has proved to be the most useful to the assessing of moisture of forest habitats. The ranking of the most correlated indices was calculated as Eintg—the product of the absolute value of the slope and the mean square error complement, and for the top five indices was as follows: NDVI = 0.248619, EXG = 0.242112, OSAVI = 0.239412, DSWI-4 = 0.238784, and RDVI = 0.236995. The results also highlight the impact of water reservoirs on the humidity and trophicity of forest habitats, showing a decrease in the fertility of habitats with an increase in distance from the water reservoir. The results of the study can be used to preparing maps of the diversity of forest types, especially in hard-to-reach places, as well as to assess changes in the moisture status of habitats, which may be useful, for example, in the assessment of the fire risk of forest habitats. We have proved that NDVI can be used in applications for which it was not originally designed.
dc.affiliationWydział Leśny i Technologii Drewna
dc.affiliation.instituteKatedra Botaniki i Siedliskoznawstwa Leśnego
dc.contributor.authorMłynarczyk, Adam
dc.contributor.authorKonatowska, Monika
dc.contributor.authorKrólewicz, Sławomir
dc.contributor.authorRutkowski, Paweł
dc.contributor.authorPiekarczyk, Jan
dc.contributor.authorKowalewski, Wojciech
dc.date.access2025-12-17
dc.date.accessioned2025-12-22T12:39:11Z
dc.date.available2025-12-22T12:39:11Z
dc.date.copyright2022-08-30
dc.date.issued2022
dc.description.abstract<jats:p>Measurement of water content in forest habitats is considered essential in ecological research on forests, climate change, or forest management. In the traditional forest habitat classification, two systems of habitat conditions analysis are found: single factor and multifactor methods. Both are laborious and therefore costly. Remote sensing methods provide a low-cost alternative. The aim of the presented study was to find the relationship between the spectral indices obtained from satellite images and the forest habitats moisture indices used traditionally in the Polish forest habitats classification. The scientific hypothesis of the research is as follows: it is possible to assess the variation in the humidity of forest habitats on the basis of spectral indices. Using advanced geographic information system (GIS) technology, 923 research plots were tested, where habitat studies performed with the traditional methods were compared with the analysis of 191 spectral indices calculated for Sentinel-2 image data. The normalized difference vegetation index (NDVI) has proved to be the most useful to the assessing of moisture of forest habitats. The ranking of the most correlated indices was calculated as Eintg—the product of the absolute value of the slope and the mean square error complement, and for the top five indices was as follows: NDVI = 0.248619, EXG = 0.242112, OSAVI = 0.239412, DSWI-4 = 0.238784, and RDVI = 0.236995. The results also highlight the impact of water reservoirs on the humidity and trophicity of forest habitats, showing a decrease in the fertility of habitats with an increase in distance from the water reservoir. The results of the study can be used to preparing maps of the diversity of forest types, especially in hard-to-reach places, as well as to assess changes in the moisture status of habitats, which may be useful, for example, in the assessment of the fire risk of forest habitats. We have proved that NDVI can be used in applications for which it was not originally designed.</jats:p>
dc.description.accesstimeat_publication
dc.description.bibliographyil., bibliogr.
dc.description.financepublication_nocost
dc.description.financecost0,00
dc.description.if5,0
dc.description.number17
dc.description.points100
dc.description.versionfinal_published
dc.description.volume14
dc.identifier.doi10.3390/rs14174267
dc.identifier.issn2072-4292
dc.identifier.urihttps://sciencerep.up.poznan.pl/handle/item/6480
dc.identifier.weblinkhttps://www.mdpi.com/2072-4292/14/17/4267
dc.languageen
dc.relation.ispartofRemote Sensing
dc.relation.pagesart. 4267
dc.rightsCC-BY
dc.sciencecloudnosend
dc.share.typeOPEN_JOURNAL
dc.subject.enNDVI
dc.subject.enforest typology
dc.subject.enforest humidity
dc.subject.enforest trophicity
dc.subject.enSentinel-2
dc.titleSpectral Indices as a Tool to Assess the Moisture Status of Forest Habitats
dc.title.volumeSpecial Issue Recent Advances in GIS Techniques for Remote Sensing
dc.typeJournalArticle
dspace.entity.typePublication
oaire.citation.issue17
oaire.citation.volume14