Abstract

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.

Highlights

  • Following forest operations, wheel rutting and soil displacement provide some of the most obvious traces of forest machine traffic and are commonly used as a proxy for quantifying the environmental impact of an operation on the forest floor (Cambi et al 2015, Cudzik et al 2017)

  • The environmental impact on the soil due to forest operations can be considered as a function of the severity of soil displacement, the extent of the displacement on a spatial scale, and the consequences of the impact, e.g. waterlogging due to irreversible compaction (Fig. 1)

  • A review of Sensors, Sensor-Platforms and Methods Used in 3D Modelling of Soil ... (149–164) B

Read more

Summary

Introduction

Following forest operations, wheel rutting and soil displacement provide some of the most obvious traces of forest machine traffic and are commonly used as a proxy for quantifying the environmental impact of an operation on the forest floor (Cambi et al 2015, Cudzik et al 2017). 42(2021) concern over the effect of forest operations on soil and the environment in general. The environmental impact on the soil due to forest operations can be considered as a function of the severity of soil displacement, the extent of the displacement on a spatial scale, and the consequences of the impact, e.g. waterlogging due to irreversible compaction (Fig. 1). The manual measurement of wheel rutting and soil displacement on a harvesting site is known to be resource demanding. Astrup A review of Sensors, Sensor-Platforms and Methods Used in 3D Modelling of Soil ... (149–164)

Objectives
Methods
Findings
Discussion
Conclusion
Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.