Effect of Different Atmospheric Correction Algorithms on Sentinel-2 Imagery Classification Accuracy in a Semiarid Mediterranean Area

Effect of Different Atmospheric Correction Algorithms on Sentinel-2 Imagery Classification Accuracy in a Semiarid Mediterranean Area

Multi-temporal imagery classification using spectral information and indices with random forest allows improving accuracy in land use and cover classification in semiarid Mediterranean areas, where the high fragmentation of the landscape caused by multiple factors complicates the task. Hence, since...

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Bibliographic Details
Main Authors: Carmen Valdivieso-Ros, Francisco Alonso-Sarria, Francisco Gomariz-Castillo
Format: Article
Language:English
Published: MDPI AG 2021-05-01
Series:Remote Sensing
Subjects:
supervised classification
atmospheric correction
ACOLITE
Sen2Cor
MAJA
DOS
Online Access:https://www.mdpi.com/2072-4292/13/9/1770

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