Mapping ecological condition classes of a natural pine-dominated national forest in the southeastern US

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dc.contributor.authorVatandaşlar, Can
dc.contributor.authorLee, Taeyoon
dc.contributor.authorPeduzzi, Alicia
dc.contributor.authorBettinger, Pete
dc.contributor.authorMerry, Krista
dc.contributor.authorStober, Jonathan
dc.date.accessioned2025-07-25T11:53:57Z
dc.date.available2025-07-25T11:53:57Z
dc.date.issued2023
dc.departmentAÇÜ, Orman Fakültesi, Orman Mühendisliği Bölümü
dc.description.abstractAccurate knowledge of ecological condition (EC) is crucial to evaluate the deviation of a given ecosystem from a reference condition, and is of interest to forest managers as it helps them prioritize management activities. The present study aimed to estimate EC classes of the Talladega National Forest (NF) using NAIP images, and airborne laser scanning (ALS) data, as well as field measurements from 255 plots. The results indicated that the EC classes could be distinguished using zq25, imean, and p5th metrics from ALS, as well as Enhanced Vegetation Index. Among them, we used zq25 to generate a map for the entire study area. Accordingly, the dominant EC was class 3, suggesting that almost half of the forestland is composed of young and dense stands with woody understory. This cover type is not desirable in terms of wildfire risk and far from the historical conditions. Thus, NF managers might thin and/or prescribed burn these areas to improve EC.
dc.identifier.doi10.1109/IGARSS52108.2023.10281592
dc.identifier.endpage2679
dc.identifier.isbn979-835032010-7
dc.identifier.scopus2-s2.0-85178383561
dc.identifier.scopusqualityQ3
dc.identifier.startpage2676
dc.identifier.urihttps://hdl.handle.net/11494/5888
dc.identifier.volume2023
dc.indekslendigikaynakScopus
dc.institutionauthorVatandaşlar, Can
dc.language.isoen
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.relation.ispartofInternational Geoscience and Remote Sensing Symposium (IGARSS)
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/embargoedAccess
dc.subjectAirborne laser scanning
dc.subjectLand management
dc.subjectLiDAR metrics
dc.subjectPrescribed fires
dc.subjectVegetation index
dc.titleMapping ecological condition classes of a natural pine-dominated national forest in the southeastern US
dc.typeConference Object

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