Depth-to-water maps as predictors of rut severity in fully mechanized harvesting operations
Author:
Affiliation:
1. Devision of Forest and Forest Resources, NIBIO, Norwegian Institute of Bioeconomy Research, Ås, Norway
2. Department of Forest and Wood Science, Stellenbosch University, Stellenbosch, South Africa
Funder
Bio-Based Industries Joint Undertaking under the European Union’s Horizon 2020 research and innovation program
Publisher
Informa UK Limited
Subject
Media Technology
Link
https://www.tandfonline.com/doi/pdf/10.1080/14942119.2022.2044724
Reference49 articles.
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2. Evaluating digital terrain indices for soil wetness mapping – a Swedish case study
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4. Assessing the effects of initial soil characteristics, machine mass and traffic intensity on forest soil compaction
5. Impacts of forest management on northern forest soils
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1. High-resolution harvester data for estimating rolling resistance and forest trafficability;European Journal of Forest Research;2024-07-09
2. Soil moisture modeling with ERA5-Land retrievals, topographic indices, and in situ measurements and its use for predicting ruts;Hydrology and Earth System Sciences;2024-06-20
3. Methods of Rut Depth Measurements on Forwarder Trails in Lowland Forest;Forests;2024-06-12
4. A Meta-Analysis to Evaluate the Reliability of Depth-to-Water Maps in Predicting Areas Particularly Sensitive to Machinery-Induced Soil Disturbance;Croatian journal of forest engineering;2024-05-23
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