This repository provides the R code to reproduce the computational analysis of the paper: "Logistic regression versus machine learning for detecting burned areas using satellite images" (Militino et al., 2023).
The script LXG_terra.R contains the implementation of the models described in the paper.
The Data/ folder contains the following:
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MODIS_DataSet.tif: This file contains therasterdata set used to compare the described models. -
acc_metrics.RData: This file comprises R objects that store the accuracy metrics for every simulation conducted.
This work has been funded by the project PID 2020-113125RB-I00 of the Spanish Research Agency (MCIN/ AEI/ 10.13039/501100011033) and Ayudas predoctorales UPNA 2022-2023.
Militino, A. F., Goyena, H., Pérez-Goya, U. and Ugarte, M.D (2024). Logistic regression versus machine learning for detecting burned areas using satellite images Environmental and Ecological Statistics, https://doi.org/10.1007/s10651-023-00590-7.