Use of terrestrial laser scanning to evaluate the spatial distribution of soil disturbance by skidding operations

Koreň, Milan; Slančík, M.; Suchomel, Josef; Dubina, J.

doi:10.3832/ifor1165-007

Cited by 22 publications

(32 citation statements)

References 18 publications

(17 reference statements)

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“…3 -Results of MANOVA (mean ± standard deviation) to evaluate differences in soil parameters between trails used by different logging vehicles (Wilks test's F = 42.33,p < 0.001 logging, comparable with results obtained by point cloud derived by TLS (Koren et al 2015). The use of a consumer reflex camera combined with the use of SfM software, however, can produce accuracy models at low cost, with respect to the use of TLS.…”

Section: Discussionmentioning

confidence: 99%

“…The use of a consumer reflex camera combined with the use of SfM software, however, can produce accuracy models at low cost, with respect to the use of TLS. The use of this methodology (Pierzchala et al 2014, Koren et al 2015 can produce information along the entire trail, not only at the sampling points. This information is very important for forest managers, as it allows for monitoring of soil ecosystems after forest operations and planning of soil recovery practices (Pinard et al 2000).…”

Section: Discussionmentioning

confidence: 99%

“…To measure rutting, manual measurements of cross-sectional and longitudinal profiles are commonly applied (Koren et al 2015). These methods are used for determining the rut depth at intervals along the trail and may be used to obtain a rough estimate of the volume of soil displaced.…”

Section: Discussionmentioning

confidence: 99%

“…Recently, the field methods used for the analysis of geomorphological processes and quantification of soil impacts have changed, passing from traditional methods (Lotfalian & Parsakhoo 2009, Bagheri et al 2013, Koren et al 2015 to the use of remote sensing and proximal sensing techniques (D'Oleire-Oltmanns et al 2012, Talbot et al 2017 in order to analyse the spatial distribution of soil disturbances (Koren et al 2015, Giannetti et al 2017. In recent decades, techniques allowing rapid acquisition of high-density topographic data have proliferated (Nadal-Romero et al 2015).…”

Section: Introductionmentioning

confidence: 99%

“…The physical parameters of soil are usually determined by means of soil sample collection and analysis, or measured using specific instruments, such as penetrometers and scissometers (Picchio et al 2012, Venanzi et al 2016, or by means of manual measurements of cross-sectional and longitudinal profiles on skid trails (Koren et al 2015). Although these methods have been improved over time (Jourgholami et al 2014), they are time consuming and costly.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Estimating machine impact on strip roads via close-range photogrammetry and soil parameters: a case study in central Italy

Cambi¹,

Giannetti²,

Bottalico³

et al. 2018

iForest

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Several studies have been carried out to investigate soil compaction and rutting after logging vehicle traffic, based on time consuming and punctual field measurements. The objective of this study was to measure soil disturbances with two methods: (i) a new, image-based models derived by a structure-frommotion (SfM) photogrammetry approach; and (ii) a traditional soil sampling (bulk density and shear strength). Two trails were selected in a logging area (central Italy), one trafficked by a forwarder (FT) and one trafficked by a skidder (ST). Data collection was conducted before, during and after timber extraction. Image-based models derived by SfM photogrammetry was used to highlight the differences in the shape and distribution of the disturbances along ST and FT. Results showed that the physical parameters of soil significantly changed due to both FT and ST traffic. Machine passes increased bulk density (111% and 31% for FT and ST, respectively), penetration resistance (29% and 24% for FT and ST, respectively) and shear resistance (14% and 6% for FT and ST, respectively), whereas porosity decreased (46% and 9% for FT and ST, respectively). Significant differences between FT and ST were found when comparing ruts removal and bulges with SfM photogrammetry. After logging, FT clearly showed ruts and bulges, whereas in ST ruts and bulges were not visible, but soil displacement in the direction of extraction was evident and measurable. Nevertheless, although our result shows a larger soil disturbance caused by forwarders than skidders, it is not possible to draw any general conclusions about differences between the two machines. Data about the machine passes, or the wood volumes transported over each trial area were not available; therefore, any general conclusion is misleading. SfM photogrammetry give information not available via traditional methods, thus improving impact assessment.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Estimating machine impact on strip roads via close-range photogrammetry and soil parameters: a case study in central Italy

Cambi¹,

Giannetti²,

Bottalico³

et al. 2018

iForest

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Assessment of soil compaction and rutting in managed forests through an airborne LiDAR technique

et al. 2022

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To ensure sustainable forest management, the assessment and monitoring of soil compaction and rutting are essential. Here, we used airborne light detection and ranging‐derived digital terrain model (LiDAR‐derived DTM), available for the forest of Compiègne in northern France, to compute a spatial index of soil rutting. Following an environmental systematic sampling design, we selected 45 plots representative of the forest stand conditions where we subsequently extracted information from the DTM to compute the cumulative length of ruts (CLR). To assess the quality of this LiDAR‐derived index, we related the CLR index to in‐situ soil and vegetation parameters such as soil texture, soil pH, and understory plant species composition. Floristic surveys were carried out across all 45 plots to generate plant species response curves along the CLR gradient. We found soil texture, soil type, and soil pH to be important determinants of CLR. For instance, CLR was the highest in soils with the highest clay content. A total of 22 out of the 94 understory plant species we analyzed showed a significant response curve along the CLR gradient. Most important, the occurrence probability of species associated with wet soils and stagnant waters (e.g., Juncus effusus), like those found in ruts, increased with CLR. Other species associated with dry soils (e.g., Hedera helix) showed a negative response curve along the CLR gradient. In conclusion, the proposed index (CLR) has proven useful to remotely assess soil compaction and rutting after logging operations.

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Exploring Biotechnological Strategies in the Monitoring of Soil Quality

Obi,

Olisaka,

Ene

et al. 2024

The Marginal Soils of Africa

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Use of terrestrial laser scanning to evaluate the spatial distribution of soil disturbance by skidding operations

Cited by 22 publications

References 18 publications

Estimating machine impact on strip roads via close-range photogrammetry and soil parameters: a case study in central Italy

Estimating machine impact on strip roads via close-range photogrammetry and soil parameters: a case study in central Italy

Assessment of soil compaction and rutting in managed forests through an airborne LiDAR technique

Exploring Biotechnological Strategies in the Monitoring of Soil Quality

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