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

被引:15
作者
Venanzi, Rachele [1 ]
Latterini, Francesco [2 ]
Civitarese, Vincenzo [1 ]
Picchio, Rodolfo [3 ]
机构
[1] Consiglio Ric Agr & Anal Econ Agr CREA, Ctr Ric Ingn & Trasformaz Agroalimentari, Via Pascolare 16, I-00015 Monterotondo, Italy
[2] Polish Acad Sci, Inst Dendrol, Parkowa 5, PL-62035 Kornik, Poland
[3] Tuscia Univ, Dept Agr & Forest Sci, Via San Camillo Lellis, I-01100 Viterbo, Italy
来源
FORESTS | 2023年 / 14卷 / 07期
关键词
sustainable forest operations; Industry (/Forestry) 4.0; CAN-bus; StanForD; soil disturbance; HARVESTING OPERATIONS; SOIL DISTURBANCE; GPS; PRODUCTIVITY; FORWARDERS; SYSTEM; TRAIL;
D O I
10.3390/f14071503
中图分类号
S7 [林业];
学科分类号
0829 ; 0907 ;
摘要
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.
引用
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页数:15
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