Machine Learning Classification of Mediterranean Forest Habitats in Google Earth Engine Based on Seasonal Sentinel-2 Time-Series and Input Image Composition Optimisation

Machine Learning Classification of Mediterranean Forest Habitats in Google Earth Engine Based on Seasonal Sentinel-2 Time-Series and Input Image Composition Optimisation

The sustainable management of natural heritage is presently considered a global strategic issue. Owing to the ever-growing availability of free data and software, remote sensing (RS) techniques have been primarily used to map, analyse, and monitor natural resources for conservation purposes. The nee...

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Bibliographic Details
Main Authors: Salvatore Praticò, Francesco Solano, Salvatore Di Fazio, Giuseppe Modica
Format: Article
Language:English
Published: MDPI AG 2021-02-01
Series:Remote Sensing
Subjects:
random forest (RF)
support vector machine (SVM)
classification and regression tree (CART)
cloud platform
vegetation indices (VIs)
Natura 2000
Online Access:https://www.mdpi.com/2072-4292/13/4/586

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https://www.mdpi.com/2072-4292/13/4/586

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