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Research article - Peer-reviewed, 2022

Evaluating the effect of DEM resolution on performance of cartographic depth-to-water maps, for planning logging operations

Mohtashami, Sima; Eliasson, Lars; Hansson, Linnea; Willén, Erik; Thierfelder, Tomas; Nordfjell, Tomas

Abstract

Reliable and accurate soil moisture maps are needed to minimise the risk of soil disturbance during logging operations. Depth-to-water (DTW) maps extracted from digital elevation models have shown potential for identifying water flow paths and associated wet and moist areas, based on surface topography. We have examined whether DEMs from airborne LiDAR data with varying point density can improve performance of DTW maps in planning logging operations. Soil moisture content was estimated on eight sites after logging operations and compared to DTW maps created from DEMs with resolutions of 2 m, 1 m, and 0.5 m. Different threshold values for wet soil (1 m and 1.5 m depth to water) were also tested. The map performances, measured by accuracy (ACC) and Matthews Correlation Coefficient (MCC), changed slightly (79%, 81% and 82% and 0.33, 0.26 and 0.30 respectively) when DEM resolutions varied from 2 m to 1 m, and 0.5 m. The corresponding values when the DTW threshold value for wet/dry soil changed from 1 m to 1.5 m were 70%, 72%, 71% and 0.38, 0.41 and 0.39. LiDAR-based DEM resolutions of 1–2 m were found to be sufficient for extraction of DTW maps during planning of logging operations, when knowledge about soil hydrological features, associated wet and moist areas, and their connectivity is beneficial.

Keywords

Soil moisture maps; DTW; Digital Elevation Model; Forestry; Soil disturbance

Published in

International Journal of Applied Earth Observation and Geoinformation
2022, volume: 108, article number: 102728

Authors' information

Forestry Research Institute of Sweden, Skogforsk
Eliasson, Lars
Forestry Research Institute of Sweden, Skogforsk
Hansson, Linnea
Forestry Research Institute of Sweden, Skogforsk
Willén, Erik
Forestry Research Institute of Sweden, Skogforsk
Swedish University of Agricultural Sciences, Department of Energy and Technology
Swedish University of Agricultural Sciences, Department of Forest Biomaterials and Technology

UKÄ Subject classification

Soil Science

Publication Identifiers

DOI: https://doi.org/10.1016/j.jag.2022.102728

URI (permanent link to this page)

https://res.slu.se/id/publ/116294