Forest mapping and species composition using supervised per pixel classification of Sentinel-2 imagery
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., Betula sp., Querc... Mehr ...
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Dokumenttyp: | Artikel |
Erscheinungsdatum: | 2018 |
Reihe/Periodikum: | Biotechnologie, Agronomie, Société et Environnement, Vol 22, Iss 3, Pp 172-187 (2018) |
Verlag/Hrsg.: |
Presses Agronomiques de Gembloux
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Schlagwörter: | Belgian Ardenne ecoregion / tree species / remote sensing / satellites / per-pixel classification / random forest / Biotechnology / TP248.13-248.65 / Environmental sciences / GE1-350 |
Sprache: | Englisch Französisch |
Permalink: | https://search.fid-benelux.de/Record/base-26501047 |
Datenquelle: | BASE; Originalkatalog |
Powered By: | BASE |
Link(s) : | https://doaj.org/article/53c8d9d827464dd397bd4e6c7d5851f8 |