This review demonstrates the use of remote sensing and artificial intelligence in sustainable forest management, suggesting effective decision support systems enhance biodiversity monitoring.
Forest ecosystems are critically important for biodiversity, carbon storage, climate regulation, and socio-economic services. This review examines the transformative role of technological infrastructure in sustainable forest management. Focusing on innovation and methodology, it evaluates the applications of technologies such as remote sensing, GIS, UAVs, IoT, artificial intelligence, and digital twins in forest engineerng applications, forest inventory, fire management, biodiversity monitoring, and decision support systems through a systematic literature review. The results reveal that these technologies enable a transition to a data-driven, proactive, and effective management paradigm. However, significant challenges such as cost, the digital divide, human resources, and ethical limitations persist. The article provides strategic recommendations for policymakers, researchers, and forest managers and discusses the contributions of technology-integrated forest engineering and management to socio-economic and ecological sustainability.
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Selçuk Gümüş (2025) studied this question.
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