Sensors and Forest Research

Dear Colleagues,

In an attempt to prevent and mitigate the impact of climate change, the conservation and protection of forest ecosystems, which constitute a storage of carbon dioxide, is proving to be one of the most significant factors. In addition, the constantly increasing population of our planet further increases the demand for forest biomass products, the resultant stress and pressure that forests receive because of human intervention, as well as the risk of disasters, floods and fires, encroachments, poaching and deforestation.

In the frame of protection of the precious natural resource of forests, addressing all the aforementioned risks and difficulties, the roles of sensors and artificial intelligence in the field of forest research have been highlighted as multilateral and highly critical, since they provide in shorter time, with less effort and lower cost, accurate, and in many cases real-time, data and information; these data are crucial for the proper development of trees, cultivation of the forest, maintenance of the fragile balances and mechanisms that interact in such an ecosystem, maintenance of biodiversity and the management and rational utilization of forest products.

Contributions in the Special Issue entitled: “Sensors and Forest Research” may cover a broad range of approaches, ranging from research and application-oriented papers to more theoretical studies discussing recommendations for more effective solutions to these challenges now and in the future. Some of the prospective/encouraged topics for this Special Issue include:

Utilization of sensors technology in forest monitoring, internet of things (IoT) for forest monitoring, satellites and forest research, unmanned aerial vehicles (UAVs) for forestry applications, machine learning, deep learning and artificial intelligence (AI) in forestry, light detection and ranging (LiDAR) in forest environments, forestry applications in geographic information system (GIS), environmental instrumentation, products density and quality prediction, biomass recording, harvesting processes, dendrochronology, forest management, forest roads, hydrological processes and flood monitoring in a forest ecosystem, wildfire modeling/analysis, detection of fires, diseases, natural disasters monitoring, biodiversity issues, wildlife species mobility and habitats monitoring, forest bioengineering works, protective constructions and measures assessment.

Dr. Barmpoutis Panagiotis
Dr. Kamperidou Vasiliki
Assoc. Prof. Dr. Nina Dobrinkova
Dr. Grammalidis Nikos
Guest Editors

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