A review of Sensors, Sensor-Platforms and Methods Used in 3D Modelling of Soil Displacement after Timber Harvesting

Proximal sensing technologies are becoming widely used across a range of applications in environmental sciences. One of these applications is in the measurement of the ground surface in describing soil displacement impacts from wheeled and tracked machinery in the forest. Within a period of 2–3 years, the use photogrammetry, LiDAR, ultrasound and time-of-flight imaging based methods have been demonstrated in both experimental and operational settings. This review provides insight into the aims, sampling design, data capture and processing, and outcomes of papers dealing specifically with proximal sensing of soil displacement resulting from timber harvesting. The work reviewed includes examples of sensors mounted on tripods and rigs, on personal platforms including handheld and backpack mounted, on mobile platforms constituted by forwarders and skidders, as well as on unmanned aerial vehicles (UAVs). The review further highlights and discusses the benefits, challenges, and some of the shortcomings of the various technologies and their application as interpreted by the authors. The majority of the work reviewed reflects pioneering approaches and innovative applications of the technologies. The studies have been carried out almost simultaneously, building on little or no common experience, and the evolution of standardized methods is not yet fully apparent. Some of the issues that will likely need to be addressed in developing this field are (i) the tendency toward generating apparently excessively high resolution micro-topography models without demonstrating the need for or contribution of such resolutions on accuracy, (ii) the inadequacy of conventional manual measurements in verifying the accuracy of these methods at such high resolutions, and (iii) the lack of a common protocol for planning, carrying out, and reporting this type of study

Ranking Research and Development Needs of Silvicultural Operations for a Plantation Forestry Cooperative

Forest Owners Organizations can help small- and medium-scale private landowners stay competitive by conducting and sharing research and development (R and D) activities. This study evaluated R and D needs for silvicultural operations to inform an R and D strategy for the cooperative. Individual and group priorities were collected using the Analytical Hierarchy Process via a web survey and web meeting. Consensus in priorities was followed by an assessment of the cooperative's capacity to carry out in-house research. Two regional managers, eight plantation managers and one R & D/Technology manager participated in one or more stages of the process. Participants ranked most silvicultural operations similarly. However, the variation was largest for harvest residue, seedling, and stump management. Minor regional differences were found but both regions (south and north) had "very high" group consensus indicators (86.2% and 89%, respectively). The group decision ranked R and D in harvest residue management as the highest priority, followed by soil preparation and planting methods. The cooperative's strongest capacity for in-house research was in the execution of the experimental design to address the research questions (implementation). The weakest research capacity was found in terms of harvest residue, seedling, and stump management. Hence, the cooperative is dependent on research institutions. These findings can be used to inform and align the cooperative's R and D strategy, investments, and their research collaborations

Productivity Analysis of an Un-Guyed Integrated Yarder-Processor with Running Skyline

An excavator-based integrated yarder-processor was evaluated in a clearfelling in centralNorway. The machine is unique because, as it uses a running skyline setup, yarding and processing cannot take place simultaneously as is the case with many European integrated tower yarders. Felling productivity was 10.6 m3 E15h-1, yarding 9.2 m3 E15h-1 and processing 10.9 m3 E15h-1. Given that yarding and processing take place alternately accounting for 54%and 46% of a system hour, the overall system productivity was 4.9 m3 E15h-1 (processed and stacked). The processing rate was approximately 30% of what is achieved by single grip harvesters, indicating the effect of space limitations, a possible over-dimensioned processing head, and the need to simplify the assortment list under such conditions. An increase in processing productivity would require a second feller-chokersetter in the crew, although neither would then be used to full capacity. Un-choking alone accounted for 19% of the yarding cycle timeand might be reduced by applying self-releasing chokers. System productivity needs to beincreased by 30–50% to make it competitive. Much of this could be achieved simply by deploying the machine in stands with larger mean tree volumes than those observed (0.27 m3)

Depth-to-water maps as predictors of rut severity in fully mechanized harvesting operations

The preservation of the functionality of forest soil is a key aspect in planning mechanized harvesting operations. Therefore, knowledge and information about stand and soil characteristics are vital to the planning process. In this respect, depth-to-water (DTW) maps were reviewed with regard to their potential use as a prediction tool for wheel ruts. To test the applicability of open source DTW maps for prediction of rutting, the ground surface conditions of 20 clear-cut sites were recorded post harvesting, using an unmanned aerial vehicle (UAV). In total, 80 km of machine tracks were categorized by the severity of occurring rut-formations to investigate whether: i) operators intuitively avoid areas with low DTW values, ii) a correlation exists between decreasing DTW values and increasing rut severity, and iii) DTW maps can serve as reliable decision-making tool in minimizing the environmental effects of big machinery deployment. While the machine operators did not have access to these predictions (DTW maps) during the operations, there was no visual evidence that driving through these areas was actively avoided, resulting in a higher density of severe rutting within areas with DTW values <1 m. A logistic regression analysis confirmed that the probability of severe rutting rapidly increases with decreasing DTW values. However, significant differences between sites exist which might be attributed to a series of other factors such as soil type, weather conditions, number of passes and load capacity. Monitoring these factors is hence highly recommended in any further follow-up studies on soil trafficability.publishedVersio

Applications of Remote and Proximal Sensing for Improved Precision in Forest Operations

This paper provides an overview of recent developments in remote and proximal sensing technologies and their basic applicability to various aspects of forest operations. It categorises these applications according to the technologies used and considers their deployment platform in terms of their being space-, airborne or terrestrial. For each combination of technology and application, a brief review of the state-of-the-art has been described from the literature, ranging from the measurement of forests and single trees, the derivation of landscape scale terrain models down to micro-topographic soil disturbance modelling, through infrastructure planning, construction and maintenance, to forest accessibility with ground and cable based harvesting systems. The review then goes on to discuss how these technologies and applications contribute to reducing impacts on forest soils, cultural heritage sites and other areas of special value or interest, after which sensors and methods necessary in autonomous navigation and the use of computer vision on forest machines are discussed. The review concludes that despite the many promising or demonstrated applications of remotely or proximately sensed data in forest operations, almost all are still experimental and have a range of issues that need to be addressed or improved upon before widespread operationalization can take place

Productivity Analysis of an Un-Guyed Integrated Yarder-Processor with Running Skyline

An excavator-based integrated yarder-processor was evaluated in a clearfelling in centralNorway. The machine is unique because, as it uses a running skyline setup, yarding and processing cannot take place simultaneously as is the case with many European integrated tower yarders. Felling productivity was 10.6 m3 E15h-1, yarding 9.2 m3 E15h-1 and processing 10.9 m3 E15h-1. Given that yarding and processing take place alternately accounting for 54%and 46% of a system hour, the overall system productivity was 4.9 m3 E15h-1 (processed and stacked). The processing rate was approximately 30% of what is achieved by single grip harvesters, indicating the effect of space limitations, a possible over-dimensioned processing head, and the need to simplify the assortment list under such conditions. An increase in processing productivity would require a second feller-chokersetter in the crew, although neither would then be used to full capacity. Un-choking alone accounted for 19% of the yarding cycle timeand might be reduced by applying self-releasing chokers. System productivity needs to beincreased by 30–50% to make it competitive. Much of this could be achieved simply by deploying the machine in stands with larger mean tree volumes than those observed (0.27 m3)

In Solidarity

This edition of Next Page is a departure from our usual question and answer format with a featured campus reader. Instead, we asked speakers who participated in the College’s recent Student Solidarity Rally (March 1, 2017) to recommend readings that might further our understanding of the topics on which they spoke

A comparison of two methods of data collection for modelling productivity of harvesters: manual time study and follow-up study using on-board-computer stem records

Productivity of a mechanized P. patula cut-to-length harvesting operation was estimated and modelled using two methods of data collection: manual time study and follow-up study using StanForD stem files. The objective of the study was to compare the productivity models derived using these two methods to test for equivalence. Manual time studies were completed on four different machines and their operators. Two Ponsse Bear harvesters fitted with H8 heads, and two Ponsse  Beaver harvesters, fitted with  H6 heads, were included. All machines were equipped with Ponsse Opti2 information system. All four operators had approximately 1 year of experience working with their respective machines. The four machines worked in separate four-tree-wide harvesting corridors, and they each harvested 200 trees.  Individual tree diameter at breast height (DBH), and height measurements were made manually. Subsequently, data on the trees in each study were extracted from the StanForD stem reports from each of the harvesters. Cycle times in the stem reports were determined based on the difference between consecutive harvest timestamps. The two methods were compared in terms of their abilities to estimate equivalent measures for tree DBH, volume, and productivity. In all four cases, significant differences were found between the DBH and volume measures derived using the two methods. Subsequently, the volume measures from the manual methods were used as the basis for productivity calculations. Results of the productivity comparisons found no significant differences between the models developed from the two methods. These results suggest that equivalent productivity models can be developed in terms of time using either method, however volume discrepancies indicate a need to reconcile bark and volume functions with the high variability experienced in the country. </p