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

Mohtashami, Sima and Eliasson, Lars and Hansson, Linnea and Willén, Erik and Thierfelder, Tomas and Nordfjell, Tomas (2022). Evaluating the effect of DEM resolution on performance of cartographic depth-to-water maps, for planning logging operations. International Journal of Applied Earth Observation and Geoinformation. 108 , 102728
[Research article]

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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.

Authors/Creators:Mohtashami, Sima and Eliasson, Lars and Hansson, Linnea and Willén, Erik and Thierfelder, Tomas and Nordfjell, Tomas
Title:Evaluating the effect of DEM resolution on performance of cartographic depth-to-water maps, for planning logging operations
Series Name/Journal:International Journal of Applied Earth Observation and Geoinformation
Year of publishing :2022
Volume:108
Article number:102728
Number of Pages:10
ISSN:0303-2434
Language:English
Publication Type:Research article
Article category:Scientific peer reviewed
Version:Published version
Copyright:Creative Commons: Attribution-Noncommercial-No Derivative Works 4.0
Full Text Status:Public
Subjects:(A) Swedish standard research categories 2011 > 4 Agricultural Sciences > 401 Agricultural, Forestry and Fisheries > Soil Science
Keywords:Soil moisture maps, DTW, Digital Elevation Model, Forestry, Soil disturbance
URN:NBN:urn:nbn:se:slu:epsilon-p-116294
Permanent URL:
http://urn.kb.se/resolve?urn=urn:nbn:se:slu:epsilon-p-116294
Additional ID:
Type of IDID
DOI10.1016/j.jag.2022.102728
ID Code:27279
Faculty:NJ - Fakulteten för naturresurser och jordbruksvetenskap
S - Faculty of Forest Sciences
Department:(NL, NJ) > Dept. of Energy and Technology
(S) > Department of Forest Biomaterials and Technology
Deposited By: SLUpub Connector
Deposited On:09 Mar 2022 13:26
Metadata Last Modified:09 Mar 2022 13:31

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