Analyzing Deforestation Dynamics in Romania Using Random Forest Algorithm and Google Earth Engine

Andrei Varan, Adriana Coroiu, Liviu-Mihai Iacob

2025

Abstract

Despite the vital roles that forests play in reducing erosion and filtering out CO2, illegal logging persists globally. Due to deforestation, agricultural practices, and infrastructure development, Romania, a country with an abundance of natural resources and forests, is facing significant deforestation. In this research, we proposed an approach that uses Google Earth Engine, machine learning, and satellite images to overcome this problem. By combining new technologies, the current Landsat 9 deployment enhances Earth Engine's capabilities and enables improved forest monitoring and analysis. The study uses NASA-provided Landsat images, filtered out for Romania’s surface with an applied reducer and machine learning techniques, both being used in the Google Earth Engine editor, to have a better visualization of Romania's deforestation.

Paper Citation

in Harvard Style

Varan A., Coroiu A. and Iacob L. (2025). Analyzing Deforestation Dynamics in Romania Using Random Forest Algorithm and Google Earth Engine. In Proceedings of the 20th International Conference on Evaluation of Novel Approaches to Software Engineering - Volume 1: ENASE; ISBN 978-989-758-742-9, SciTePress, pages 843-847. DOI: 10.5220/0013480400003928

in Bibtex Style

@conference{enase25,
author={Andrei Varan and Adriana Coroiu and Liviu-Mihai Iacob},
title={Analyzing Deforestation Dynamics in Romania Using Random Forest Algorithm and Google Earth Engine},
booktitle={Proceedings of the 20th International Conference on Evaluation of Novel Approaches to Software Engineering - Volume 1: ENASE},
year={2025},
pages={843-847},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013480400003928},
isbn={978-989-758-742-9},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 20th International Conference on Evaluation of Novel Approaches to Software Engineering - Volume 1: ENASE
TI - Analyzing Deforestation Dynamics in Romania Using Random Forest Algorithm and Google Earth Engine
SN - 978-989-758-742-9
AU - Varan A.
AU - Coroiu A.
AU - Iacob L.
PY - 2025
SP - 843
EP - 847
DO - 10.5220/0013480400003928
PB - SciTePress