Open Journal of Soil Science

Open Journal of Soil Science

ISSN Print: 2162-5360
ISSN Online: 2162-5379
www.scirp.org/journal/ojss
E-mail: ojss@scirp.org
"Relating Cone Penetration and Rutting Resistance to Variations in Forest Soil Properties and Daily Moisture Fluctuations"
written by Marie-France Jones, Paul A. Arp,
published by Open Journal of Soil Science, Vol.7 No.7, 2017
has been cited by the following article(s):
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  • CrossRef
[1] Trafficability prediction using depth-to-water maps: the status of application in northern and Central European forestry
Current Forestry …, 2022
[2] Use of Hydrological Models to Predict Risk for Rutting in Logging Operations
Forests, 2022
[3] Evaluation of a Penetration Resistance Model in Oxisol under No-Till and Texture Variation
Open Access Library …, 2022
[4] ACAROLOGICAL CHARACTERISATION (ACARI: MESOSTIGMATA) OF AN URBAN GREEN AREA IN BUCHAREST, ROMANIA.
… Papers: Series D …, 2022
[5] Comparison of Selected Terramechanical Test Procedures and Cartographic Indices to Predict Rutting Caused by Machine Traffic during a Cut-to-Length Thinning …
2021
[6] Soil mite communities (Acari: Mesostigmata) as indicators of urban ecosystems in Bucharest, Romania
2021
[7] Addressing potential drought resiliency through high-resolution terrain and depression mapping
2021
[8] Utilization of Image, LiDAR and Gamma-Ray Information to Improve Environmental Sustainability of Cut-to-Length Wood Harvesting Operations in Peatlands: A …
2021
[9] Spatio-temporal prediction of soil moisture and soil strength by depth-to-water maps
International Journal of …, 2021
[10] Identification des zones de contrainte de drainage aux opérations forestières à l'aide des données lidar
2020
[11] Assessing extraction trail trafficability using harvester CAN-bus data
2020
[12] Utvärdering av möjligheter att utveckla dagsaktuella riskindex för spårbildning
2020
[13] Towards dynamic forest trafficability prediction using open spatial data, hydrological modelling and sensor technology
2020
[14] Predictive models to determine fine soil fractions and organic matter from readily available soil and terrain data of soils under boreal forest
2020
[15] Modeling boreal forest evapotranspiration and water balance at stand and catchment scales: a spatial approach
2019
[16] Mapping soil trafficability by way of temporal hydrology modeling and spatial wet-areas-mapping
2019
[17] Predicting forwarder rut formation on fine-grained mineral soils
2019
[18] Analyzing and Projecting Soil Moisture and Cone Penetrability Variations in Forest Soils
2019
[19] Soil Trafficability Forecasting
2019
[20] Soil disturbance by cut-to-length machinery on midgrained soils
2019
[21] Modeling forest evapotranspiration and water balance at stand and catchment scales: a spatial approach
2019
[22] Modeling boreal forest evapotranspiration and water balance at stand and catchment scales: a spatial approach
Hydrology and Earth …, 2019
[23] An operational UAV-based approach for stand-level assessment of soil disturbance after forest harvesting
Scandinavian Journal of Forest Research, 2018
[24] Wheel rut measurements by forest machine-mounted LiDAR sensors–accuracy and potential for operational applications?
International Journal of Forest Engineering, 2018
[25] Track-Monitoring and Analyzing Machine Clearances during Wood Forwarding
2018
[26] Sanjay Kumar Singh", Vivek Kumar", Pankaj Singh", Sanjay Tiwari “, AK Singh", AK Pantº and Munmun Majhi
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