Forest mapping and species composition using supervised per pixel classification of Sentinel-2 imagery ; Cartographie forestière et composition spécifique par classification supervisée par pixel d’imagerie Sentinel-2
peer reviewed ; Description of the subject.Understanding the current situation and evolution of forests is essential for a sustainable management plan that maintains forests’ ecological and socio-economic functions. Remote sensing is a helpful tool in developing this knowledge. Objectives. This paper investigates the new opportunities offered by using Sentinel-2 (S2) imagery for forest mapping in Belgian Ardenne ecoregion. The first classification objective was to create a forest map at the regional scale. The second objective was the discrimination of 11 forest classes (Fagus sylvatica L., Be... Mehr ...
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Dokumenttyp: | journal article |
Erscheinungsdatum: | 2018 |
Verlag/Hrsg.: |
Presses Agronomiques de Gembloux
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Schlagwörter: | Belgian Ardenne ecoregion / per-pixel classification / random forest / remote sensing / satellites / tree species / télédétection / écorégion de l'Ardenne belge / espèces d'arbre / satellite / classification par pixel / forêt aléatoire / Life sciences / Phytobiology (plant sciences / forestry / mycology.) / Agriculture & agronomy / Sciences du vivant / Biologie végétale (sciences végétales / sylviculture / mycologie.) / Agriculture & agronomie |
Sprache: | Englisch |
Permalink: | https://search.fid-benelux.de/Record/base-26926881 |
Datenquelle: | BASE; Originalkatalog |
Powered By: | BASE |
Link(s) : | https://orbi.uliege.be/handle/2268/227944 |