Development and Application of Earth Observation Based Machine Learning Methods for Characterizing Forest and Land Cover Change in Dilijan National Park of Armenia between 1991 and 2019

Development and Application of Earth Observation Based Machine Learning Methods for Characterizing Forest and Land Cover Change in Dilijan National Park of Armenia between 1991 and 2019

Dilijan National Park is one of the most important national parks of Armenia, established in 2002 to protect its rich biodiversity of flora and fauna and to prevent illegal logging. The aim of this study is to provide first, a mapping of forest degradation and deforestation, and second, of land cove...

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Bibliographic Details
Main Authors: Nathalie Morin, Antoine Masse, Christophe Sannier, Martin Siklar, Norman Kiesslich, Hovik Sayadyan, Loïc Faucqueur, Michaela Seewald
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:Remote Sensing
Subjects:
forest density
forest degradation
deforestation
land cover change
Sentinel-2
landsat
Online Access:https://www.mdpi.com/2072-4292/13/15/2942

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