An operational UAV-based approach for stand-level assessment of soil disturbance after forest harvesting

Talbot, Bruce; Rahlf, Johannes; Astrup, Rasmus

doi:10.1080/02827581.2017.1418421

Cited by 26 publications

(25 citation statements)

References 42 publications

(56 reference statements)

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“…Typically logging trails may cover 4 % -23.5 % of the area of thinned stands (Bettinger et al 1994;Eliasson 2005;Frey et al 2009;Han et al 2009;Cudzik et al 2017;Talbot et al 2018). This impacted area is a distinctively different environment from the intact peat when considering water regime and aeration, rainfall input, microtopography, vegetation and peat structure; all these potentially influence the biogeochemistry of the site.…”

Section: Significance Of the Work And Open Questionsmentioning

confidence: 99%

Soil deformation and its recovery in logging trails of drained boreal peatlands

et al. 2019

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Forestry-drained peatlands occupy approximately 15 million ha in boreal and temperate zones. In Finland, they represent almost one-fourth of the total forest area. They are subjected to the same harvesting operations as upland forests. Although the soil deformation caused by timber harvesting is well documented in upland forests, the knowledge on the soil disturbance induced by the harvesting machinery on peat soils is still lacking. To address this, we collected soil samples from six peatland sites that were thinned using a harvester–forwarder combination. Peat samples were taken from the trails formed by the machinery and outside the trails to a depth of 10 cm. To assess the recovery of soil properties after the disturbance, we sampled sites along a chronosequence with respect to time since harvesting. Soil deformation under the machinery appeared to increase the bulk density and field capacity of peat and decrease its total porosity; however, disturbed plots and control plots started to resemble each other in their soil properties within 15 years. The results imply that peat soil is sensitive to disturbance but has a high recovery potential.

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Section: Significance Of the Work And Open Questionsmentioning

confidence: 99%

Soil deformation and its recovery in logging trails of drained boreal peatlands

et al. 2019

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“…UAVs, in combination with photogrammetric methods, have been successfully used for assessing forested areas for pre- [2] and post-harvest assessment [3][4][5][6][7]. In post-harvest assessment, [3,5,8] explored the possibilities of using UAV-borne photogrammetric three-dimensional (3D) data for quantifying soil disturbance from forest machinery. When compared to ground-based solutions [9], UAVs that are equipped with imaging sensors represent a more efficient tool to acquire highly detailed and spatially continuous 3D data.…”

Section: Introductionmentioning

confidence: 99%

Tree-Stump Detection, Segmentation, Classification, and Measurement Using Unmanned Aerial Vehicle (UAV) Imagery

Puliti

Talbot

Astrup

2018

Forests

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Unmanned aerial vehicles (UAVs) are increasingly used as tools to perform a detailed assessment of post-harvest sites. One of the potential use of UAV photogrammetric data is to obtain tree-stump information that can then be used to support more precise decisions. This study developed and tested a methodology to automatically detect, segment, classify, and measure tree-stumps. Among the potential applications for single stump data, this study assessed the possibility (1) to detect and map root-and butt-rot on the stumps using a machine learning approach, and (2) directly measure or model tree stump diameter from the UAV data. The results revealed that the tree-stumps were detected with an overall accuracy of 68-80%, and once the stump was detected, the presence of root-and butt-rot was detected with an accuracy of 82.1%. Furthermore, the root mean square error of the UAV-derived measurements or model predictions for the stump diameter was 7.5 cm and 6.4 cm, respectively, and with the former systematically under predicting the diameter by 3.3 cm. The results of this study are promising and can lead to the development of more cost-effective and comprehensive UAV post-harvest surveys.

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“…Considering studies related to soil disturbance assessment, Talbot et al [159] presented an UAV-based approach for soil disturbance assessment after forest harvesting operations. For this purpose, a multi-rotor UAV equipped with an RGB sensor was used to perform flights in six different sites after forest harvesting, using a cut-to-length system.…”

Section: Other Applicationsmentioning

confidence: 99%

“…Apart from forest applications with more incidence towards tree development and its status, other applications in forestry contexts were explored using UAVs for: forest canopy assessment (canopy cover [125], canopy gaps [152][153][154], LAI [7,155], foliage clumping [7] and leaf angle distribution [156]), regeneration of forests [126,127,157,158], assessment of soil disturbances in post-harvest areas [159][160][161], monitoring of logging operations [162] and tree-stump detection [163]. Most of the studies rely in the use of RGB sensors mounted on rotary-wing UAVs (apart from the multispectral sensor used in [155]), except for canopy gaps [152][153][154] in which a fixed-wing UAVs were used.…”

Section: Other Applicationsmentioning

confidence: 99%

Forestry Remote Sensing from Unmanned Aerial Vehicles: A Review Focusing on the Data, Processing and Potentialities

et al. 2020

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Currently, climate change poses a global threat, which may compromise the sustainability of agriculture, forestry and other land surface systems. In a changing world scenario, the economic importance of Remote Sensing (RS) to monitor forests and agricultural resources is imperative to the development of agroforestry systems. Traditional RS technologies encompass satellite and manned aircraft platforms. These platforms are continuously improving in terms of spatial, spectral, and temporal resolutions. The high spatial and temporal resolutions, flexibility and lower operational costs make Unmanned Aerial Vehicles (UAVs) a good alternative to traditional RS platforms. In the management process of forests resources, UAVs are one of the most suitable options to consider, mainly due to: (1) low operational costs and high-intensity data collection; (2) its capacity to host a wide range of sensors that could be adapted to be task-oriented; (3) its ability to plan data acquisition campaigns, avoiding inadequate weather conditions and providing data availability on-demand; and (4) the possibility to be used in real-time operations. This review aims to present the most significant UAV applications in forestry, identifying the appropriate sensors to be used in each situation as well as the data processing techniques commonly implemented.

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An operational UAV-based approach for stand-level assessment of soil disturbance after forest harvesting

Cited by 26 publications

References 42 publications

Soil deformation and its recovery in logging trails of drained boreal peatlands

Soil deformation and its recovery in logging trails of drained boreal peatlands

Tree-Stump Detection, Segmentation, Classification, and Measurement Using Unmanned Aerial Vehicle (UAV) Imagery

Forestry Remote Sensing from Unmanned Aerial Vehicles: A Review Focusing on the Data, Processing and Potentialities

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