Home About Browse Search
Svenska


Evaluating preprocessing methods of digital elevation models for hydrological modelling

Lidberg, William and Nilsson, Mats and Lundmark, Tomas and Ågren, Anneli (2017). Evaluating preprocessing methods of digital elevation models for hydrological modelling. Hydrological processes. 31, 4660-4668
[Journal article]

[img]
Preview
PDF - Published Version
Available under License Creative Commons Attribution.

954kB

Official URL: http://dx.doi.org/10.1002/hyp.11385

Abstract

With the introduction of high-resolution digital elevation models, it is possible to use digital terrain analysis to extract small streams. In order to map streams correctly, it is necessary to remove errors and artificial sinks in the digital elevation models. This step is known as preprocessing and will allow water to move across a digital landscape. However, new challenges are introduced with increasing resolution because the effect of anthropogenic artefacts such as road embankments and bridges increases with increased resolution. These are problematic during the preprocessing step because they are elevated above the surrounding landscape and act as artificial dams. The aims of this study were to evaluate the effect of different preprocessing methods such as breaching and filling on digital elevation models with different resolutions (2, 4, 8, and 16m) and to evaluate which preprocessing methods most accurately route water across road impoundments at actual culvert locations. A unique dataset with over 30,000 field-mapped road culverts was used to assess the accuracy of stream networks derived from digital elevation models using different preprocessing methods. Our results showed that the accuracy of stream networks increases with increasing resolution. Breaching created the most accurate stream networks on all resolutions, whereas filling was the least accurate. Burning streams from the topographic map across roads from the topographic map increased the accuracy for all methods and resolutions. In addition, the impact in terms of change in area and absolute volume between original and preprocessed digital elevation models was smaller for breaching than for filling. With the appropriate methods, it is possible to extract accurate stream networks from high-resolution digital elevation models with extensive road networks, thus providing forest managers with stream networks that can be used when planning operations in wet areas or areas near streams to prevent rutting, sediment transport, and mercury export.

Authors/Creators:Lidberg, William and Nilsson, Mats and Lundmark, Tomas and Ågren, Anneli
Title:Evaluating preprocessing methods of digital elevation models for hydrological modelling
Series/Journal:Hydrological processes (1099-1085)
Year of publishing :2017
Volume:31
Page range:4660-4668
Number of Pages:9
Publisher:John Wiley & Sons Ltd.
ISSN:1099-1085
Language:English
Publication Type:Journal article
Refereed:Yes
Article category:Scientific peer reviewed
Version:Published version
Full Text Status:Public
Agris subject categories.:U Auxiliary disciplines > U40 Surveying methods
Subjects:(A) Swedish standard research categories 2011 > 1 Natural sciences > 105 Earth and Related Environmental Sciences > Oceanography, Hydrology, Water Resources
(A) Swedish standard research categories 2011 > 2 Engineering and Technology > 201 Civil Engineering > Infrastructure Engineering
Agrovoc terms:hydrology, models, infrastructure, roads, rivers, lakes
Keywords:breaching, culverts, digital elevation model, LiDAR, preprocessing, roads
URN:NBN:urn:nbn:se:slu:epsilon-e-4729
Permanent URL:
http://urn.kb.se/resolve?urn=urn:nbn:se:slu:epsilon-e-4729
Additional ID:
Type of IDID
DOI10.1002/hyp.11385
Web of Science (WoS)000418407200004
ID Code:15289
Faculty:S - Faculty of Forest Sciences
Department:(S) > Dept. of Forest Ecology and Management
Deposited By: SLUpub Connector
Deposited On:08 Feb 2018 10:41
Metadata Last Modified:26 Nov 2018 14:34

Repository Staff Only: item control page

Downloads

Downloads per year (since September 2012)

View more statistics

Downloads
Hits