Soil Trafficability Forecasting

ISSN Print: 2163-0429
ISSN Online: 2163-0437
www.scirp.org/journal/ojf
E-mail: ojf@scirp.org

"Soil Trafficability Forecasting"
written by Marie-France Jones, Paul Arp,
published by Open Journal of Forestry, Vol.9 No.4, 2019

has been cited by the following article(s):

[1]	Suitable tract bank size
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[2]	Evaluating the effect of DEM resolution on performance of cartographic depth-to-water maps, for planning logging operations
	International Journal of …, 2022

[3]	Spatio-temporal prediction of soil moisture using soil maps, topographic indices and SMAP retrievals
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[4]	Depth-to-water maps as predictors of rut severity in fully mechanized harvesting operations
	… Journal of Forest …, 2022

[5]	Impact on Soil Physical Properties Related to a High Mechanization Level in the Row Thinning of a Korean Pine Stand
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[6]	Depth-to-Water Maps to Identify Soil Areas That Are Potentially Sensitive to Logging Disturbance: Initial Evaluations in the Mediterranean Forest Context
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[7]	Influence of ruts on the physical properties of Gleyic Retisols after logging machinery passage
	… Journal of Forest …, 2022

[8]	МЕТОДОЛОГИЯ ОЦЕНКИ МНОГОКРАТНОЙ ПРОХОДИМОСТИ ГОРНОТРАНСПОРТНОГО АГРЕГАТА ПО СЛАБЫМ ГРУНТАМ
	2022

[9]	Comparison of Selected Terramechanical Test Procedures and Cartographic Indices to Predict Rutting Caused by Machine Traffic during a Cut-to-Length Thinning …
	2021

[10]	Spatio-temporal prediction of soil moisture and soil strength by depth-to-water maps
	International Journal of …, 2021

[11]	Mapping soil trafficability by way of temporal hydrology modeling and spatial wet-areas-mapping
	2019

[1]	Forurenset grunn på avveier og nasjonalt datasett over dreneringslinjer Kart og Plan, 2023 DOI:10.18261/kp.116.1-2.2

[2]	Impact on Soil Physical Properties Related to a High Mechanization Level in the Row Thinning of a Korean Pine Stand Land, 2022 DOI:10.3390/land11030329

[3]	Depth-to-Water Maps to Identify Soil Areas That Are Potentially Sensitive to Logging Disturbance: Initial Evaluations in the Mediterranean Forest Context Land, 2022 DOI:10.3390/land11050709

[4]	Spatio-temporal prediction of soil moisture using soil maps, topographic indices and SMAP retrievals International Journal of Applied Earth Observation and Geoinformation, 2022 DOI:10.1016/j.jag.2022.102730

[5]	Spatio-temporal prediction of soil moisture and soil strength by depth-to-water maps International Journal of Applied Earth Observation and Geoinformation, 2021 DOI:10.1016/j.jag.2021.102614

[6]	Comparison of Selected Terramechanical Test Procedures and Cartographic Indices to Predict Rutting Caused by Machine Traffic during a Cut-to-Length Thinning Operation Forests, 2021 DOI:10.3390/f12020113