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This repository contains all scripts used in the article "Ribeiro-Kumara, C., et al. How do forest fires affect soil greenhouse gas emissions in upland boreal forests? A review, Environmental Research."
This repository contains a machine learning model built using regression techniques to predict forest fires. The model utilizes regression algorithms to analyze various environmental factors and their impact on the likelihood of a forest fire occurrence.
Kumbara: Inventory of Forest and Land Fires in Central Kalimantan Province 2014 - 2024 An application to visualise the severity of land fires using the NBR and dNBR methods and the potential level of land fires using Fire Information for Resource Management System (FIRMS) hotspot points in Central Kalimantan Province, Indonesia.
Forest fire prediction model based on data published by P. Cortez and A. Morais in "A Data Mining Approach to Predict Forest Fires Using Meteorological Data"