Recent Applications of Smart Technologies for Monitoring the Sustainability of Forest Operations

Precision forestry is a useful technique to help forest stakeholders with proper sustainable forest management. Modern sensors and technologies, with special reference to the sustainability of forest operations, can be applied on a variety of levels, including the monitoring of forest activities regarding the three pillars (economy, environment, and society). In this review, we summarised the current level of knowledge regarding the use of precision forestry techniques for monitoring forest operations. We concentrated on recent data from the last five years (2019-2023). We demonstrated how an Industry 4.0 strategy for remote and proximal monitoring of working performance can be effective when using CAN-bus and StanForD data collected by modern forest machines. The same information can be effectively used to create maps of soil trafficability and to evaluate the patterns of skid tracks or strip roads built as a result of forest intervention. Similar information can be gathered in the case of small-scale forestry by using GNSS-RF (Global Navigation Satellite Systems-Radio Frequency) or even monitoring systems based on smartwatches or smartphones. LiDAR and Structure for Motion (SfM) photogrammetry are both useful tools for tracking soil rutting and disturbances caused by the passage of forest machinery. SfM offers denser point clouds and a more approachable method, whereas laser scanning can be considerably faster but needs a more experienced operator and better data-processing skills. Finally, in terms of the social component of sustainability, the use of location sharing technologies is strongly advised, based for instance on GNSS-RF to monitor the security of forest workers as they operate.

Automated summary

Precision forestry is a valuable technique for sustainable forest management, utilizing modern sensors and technologies to monitor forest activities and evaluate their economic, environmental, and social impact. This review focuses on the use of precision forestry techniques for monitoring forest operations, gathering recent data from 2019 to 2023. It demonstrates the effectiveness of Industry 4.0 strategies for remote and proximal monitoring using CAN-bus and StanForD data from modern forest machines. The review also highlights the potential of GNSS-RF, LiDAR, and Structure for Motion photogrammetry for tracking soil rutting, disturbances, and ensuring the safety of forest workers.