Tree Species Classification in Mixed Deciduous Forests Using Very High Spatial Resolution Satellite Imagery and Machine Learning Methods

Tree Species Classification in Mixed Deciduous Forests Using Very High Spatial Resolution Satellite Imagery and Machine Learning Methods

Spatially explicit information on tree species composition is important for both the forest management and conservation sectors. In combination with machine learning algorithms, very high-resolution satellite imagery may provide an effective solution to reduce the need for labor-intensive and time-c...

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Bibliographic Details
Main Authors: Martina Deur, Mateo Gašparović, Ivan Balenović
Format: Article
Language:English
Published: MDPI AG 2020-11-01
Series:Remote Sensing
Subjects:
pixel-based supervised classification
random forest
support vector machine
gray level cooccurrence matrix (GLCM)
principal component analysis (PCA)
WorldView-3
Online Access:https://www.mdpi.com/2072-4292/12/23/3926

Internet

https://www.mdpi.com/2072-4292/12/23/3926

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