Effect of the Synergetic Use of Sentinel-1, Sentinel-2, LiDAR and Derived Data in Land Cover Classification of a Semiarid Mediterranean Area Using Machine Learning Algorithms

Effect of the Synergetic Use of Sentinel-1, Sentinel-2, LiDAR and Derived Data in Land Cover Classification of a Semiarid Mediterranean Area Using Machine Learning Algorithms

Land cover classification in semiarid areas is a difficult task that has been tackled using different strategies, such as the use of normalized indices, texture metrics, and the combination of images from different dates or different sensors. In this paper we present the results of an experiment usi...

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Bibliographic Details
Main Authors: Carmen Valdivieso-Ros, Francisco Alonso-Sarria, Francisco Gomariz-Castillo
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:Remote Sensing
Subjects:
random forest
support vector machines
multilayer perceptron
feature selection
sentinel missions
multisensor
Online Access:https://www.mdpi.com/2072-4292/15/2/312

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