Application of LiDAR DEMs to the modelling of surface drainage patterns in human modified landscapes.

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Application of LiDAR DEMs to the modelling of surface drainage patterns in human modified landscapes.

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dc.contributor.advisor Lindsay, John
dc.contributor.author Dhun, Kimberly Anne
dc.date 2011-09-06
dc.date.accessioned 2011-09-12T14:29:04Z
dc.date.available 2011-09-12T14:29:04Z
dc.date.issued 2011-09-12
dc.identifier.uri http://hdl.handle.net/10214/2969
dc.description.abstract Anthropogenic infrastructure such as roads, ditches and culverts have strong impacts on hydrological processes, particularly surface drainage patterns. Despite this, these structures are often not present in the digital elevation models (DEMs) used to provide surface drainage data to hydrological models, owing to the coarse spatial resolution of many available DEMs. Modelling drainage patterns in human-modified landscapes requires very accurate, high-resolution DEM data to capture these features. Light Detection And Ranging (LiDAR) is a remote sensing technique that is used for producing DEMs with fine resolutions that can represent anthropogenic landscapes features such as human modifications on the landscape such as roadside ditches. In these data, roads act as a barrier to flow and are treated as dams, where on the ground culverts and bridges exist. While possible to locate and manually enforce flow across these roads, there is currently no automated technique to identify these locations and perform flow enforcement. This research improves the modelling of surface drainage pathways in rural anthropogenic altered landscapes by utilizing a novel algorithm that identifies ditches and culverts in LiDAR DEMs and enforces flow through these features by way of breaching. This breaching algorithm was tested on LiDAR datasets for two rural test sites in Southern Ontario. These analyses showed that the technique is an effective tool for efficiently incorporating ditches and culverts into the hydrological analysis of a landscape that has both a gradient associated with it, as well as a lack of densely forested areas. The algorithm produced more accurate representations of both overland flow when compared to outputs that excluded these anthropogenic features all together. en_US
dc.language.iso en en_US
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/2.5/ca/ *
dc.subject surface drainage en_US
dc.subject LiDAR en_US
dc.subject DEM en_US
dc.subject culvert en_US
dc.subject flow enforcement algorithm en_US
dc.subject breaching en_US
dc.subject ditch en_US
dc.title Application of LiDAR DEMs to the modelling of surface drainage patterns in human modified landscapes. en_US
dc.type Thesis en_US
dc.degree.programme Geography en_US
dc.degree.name Master of Science en_US
dc.degree.department Department of Geography en_US


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http://creativecommons.org/licenses/by-nc-nd/2.5/ca/ Except where otherwise noted, this item's license is described as http://creativecommons.org/licenses/by-nc-nd/2.5/ca/

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