“…Accurate data measurement and timely inventories obtained through precision forestry tools result in more reasonable and efficient decision-making (Hasan et al, 2019). Collected big data can be used for genetic mapping, management prescription, operational control of forestry seeding, forest ecosystems service analysis, EMJB 17,3 digital inventory (RADAR or LiDAR) and forest fire prediction but also include the use of mobile devices in accessing forest information systems and planning tools, supporting decision-making, and improving business performance (Chatterjee et al, 2022;Ciampi et al, 2021;Feng and Audy, 2020). Essentially, by exploiting available technologies and the high availability of measurement, big data present great potential in supporting forestry planning and management policies and ensuring the protection and development of forest resources from environmental, economic and social perspectives (Hasan et al, 2019;Moskal et al, 2009).…”