Spatio-Temporal Classification Framework for Mapping Woody Vegetation from Multi-Temporal Sentinel-2 Imagery

Spatio-Temporal Classification Framework for Mapping Woody Vegetation from Multi-Temporal Sentinel-2 Imagery

The inventory of woody vegetation is of great importance for good forest management. Advancements of remote sensing techniques have provided excellent tools for such purposes, reducing the required amount of time and labor, yet with high accuracy and the information richness. Sentinel-2 is one of th...

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Bibliographic Details
Main Authors: Jovan Kovačević, Željko Cvijetinović, Dmitar Lakušić, Nevena Kuzmanović, Jasmina Šinžar-Sekulić, Momir Mitrović, Nikola Stančić, Nenad Brodić, Dragan Mihajlović
Format: Article
Language:English
Published: MDPI AG 2020-09-01
Series:Remote Sensing
Subjects:
classification
Sentinel-2
woody vegetation
probability random forest
forest inventory
Serbia
Online Access:https://www.mdpi.com/2072-4292/12/17/2845

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