Drivers of advances in mechanized timber harvesting–a selective review of technological innovation

O Lindroos, P La Hera, C Häggström - Croatian Journal of Forest …, 2017 - hrcak.srce.hr
Sažetak Timber harvesting operations vary greatly around the world, as do the adaptations
of technology to the complex, locally variable conditions. Similarly, technological innovations …

Estimating the prediction performance of spatial models via spatial k-fold cross validation

J Pohjankukka, T Pahikkala, P Nevalainen… - International Journal …, 2017 - Taylor & Francis
In machine learning, one often assumes the data are independent when evaluating model
performance. However, this rarely holds in practice. Geographic information datasets are an …

Deep neural network based framework for complex correlations in engineering metrics

V Asghari, YF Leung, SC Hsu - Advanced Engineering Informatics, 2020 - Elsevier
Linear or polynomial regression and artificial neural networks are often adopted to obtain
correlation models between various attributes in engineering fields. Although these are …

[PDF][PDF] Recent trends of machine learning predictions using open data: a systematic review

N Ismail, UK Yusof - Journal of Information and Communication …, 2022 - repo.uum.edu.my
Machine learning (ML) prediction determinants based on open data (OD) are investigated in
this work, which is accomplished by examining current research trends over ten years …

Mechanism of biochar soil pore–gas–water interaction: gas properties of biochar-amended sandy soil at different degrees of compaction using KNN modeling

A Garg, H Huang, V Kushvaha, P Madhushri… - Acta Geophysica, 2020 - Springer
Soil compaction has contrasting effect on soil strength (ie, positive) and vegetation growth
(ie, negative), respectively. Biochar has been utilized mostly in combination with soils in both …

Projected decrease in wintertime bearing capacity on different forest and soil types in Finland under a warming climate

I Lehtonen, A Venäläinen… - Hydrology and Earth …, 2019 - hess.copernicus.org
Trafficability in forest terrain is controlled by ground-bearing capacity, which is crucial from
the timber harvesting point of view. In winter, soil frost affects the most the bearing capacity …

Applications of remote and proximal sensing for improved precision in forest operations

B Talbot, M Pierzchała, R Astrup - … Journal for Theory and Application of …, 2017 - hrcak.srce.hr
Sažetak 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 …

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

B Talbot, J Rahlf, R Astrup - Scandinavian Journal of Forest …, 2018 - Taylor & Francis
The effectiveness of generating virtual transects on unmanned aerial vehicle-derived
orthomosaics was evaluated in estimating the extent of soil disturbance by severity class …

Estimating the rut depth by UAV photogrammetry

P Nevalainen, A Salmivaara, J Ala-Ilomäki… - Remote Sensing, 2017 - mdpi.com
The rut formation during forest operations is an undesirable phenomenon. A methodology is
being proposed to measure the rut depth distribution of a logging site by photogrammetric …

Remote measuring of the depth of wheel ruts in forest terrain using a drone

E Marra, R Wictorsson, J Bohlin, E Marchi… - International Journal of …, 2021 - Taylor & Francis
Even at a well-managed harvesting site, vehicle trafficking occurs on at least 12% of the
area and might cause ruts and compaction. The use of drones for inventory and map** in …