SENSORIAMENTO REMOTO EM ESTUDOS SOBRE QUEIMADAS: UMA REVISÃO BIBLIOMÉTRICA VIA METODOLOGIA PROKNOW-C

Abstract

Wildfires cause severe environmental impacts and represent a global risk, affecting ecosystems and human populations. In this context, remote sensing has become essential for monitoring and mitigating the adverse effects of these fires. This study presents a systematic approach to reviewing the main remote sensing methodologies applied to wildfire research and identifying promising research themes, using the ProKnow-C methodology. After seven systematic filtration stages, 19 relevant articles were selected, showing a growing academic interest in this topic, especially in countries such as Canada, China, and the United States. The most common methodologies include satellite and drone imagery, as well as machine learning algorithms. For future research, this study recommends exploring the relationship between climate change and fire vulnerability, using individual remote sensor bands, and enhancing deep learning models.