Hidden Forest in Non-Forest Land: A Remote Sensing-Based Mapping Case in Lithuania

Woody vegetation growing outside officially designated forest land represents a significant but poorly quantified resource in many countries, where institutional and methodological limitations hinder its systematic accounting. This study develops and applies a multi-stage remote sensing-based framew...

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Bibliografiske detaljer

Principais autores:	Monika Papartė, Donatas Jonikavičius, Gintautas Mozgeris
Format:	Artigo
Sprog:	Inglês
Udgivet:	MDPI AG 2026-05-01
Serier:	Remote Sensing
Fag:	airborne laser scanning woody vegetation outside forest, change detection multiresolution segmentation forest delineation deep learning classification
Online adgang:	https://www.mdpi.com/2072-4292/18/10/1665
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