Using Open-Access GIS to Address Issues in Spatial Hydrological Modelling

The Water Institute, University of Waterloo

<A HREF="http://www.uoguelph.ca/geography/faculty/lindsay-john" TARGET="_blank" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">Dr. John Lindsay</A>, an associate professor for the University of Guelph, explores some of the main issues involved in the pre-processing of digital elevation models (DEM) used for spatial hydrology. He discusses methods used for removing artifact topographic depressions and for enforcing consistency between DEM-extracted stream networks and mapped hydrography data. 
<H2>Key Topics Covered</H2>
Digital elevation models (DEMs) are a primary data input for many applications in spatial hydrology and geomorphology. DEMs are commonly used to delineate watersheds, to map landforms and soils, to analyze stream networks, and to model variable source areas, surface runoff and flooding, erosion, and contaminant migration. 
The past decades have been marked by significant improvements in the quality, spatial resolution, and availability of DEM data sources. These new-generation DEMs have spurred a period of innovation in both the techniques used to analyze DEMs and in their applications. However, all DEMs used for spatial hydrological applications must be processed to remove certain classes of error and data inconsistencies prior to their use. This necessary pre-processing step in the spatial hydrology workflow is known as the creation of a hydrologically corrected DEM.Although frequently overlooked by practitioners, the techniques used to create hydrologically corrected DEMs have large implications for applications of these data.
This research talk explores some of the main issues involved in the pre-processing of DEMs used for spatial hydrology, including methods used for removing artifact topographic depressions and for enforcing consistency between DEM-extracted stream networks and mapped hydrography data. The work focuses on the development of innovative hydrogeomorphic methods in an open-access (contrasted with open-source) GIS environment, specifically the Whitebox Geospatial Analysis Tools software.
<H2>Speaker Bio</H2>
Dr. John Lindsay is an associate professor for the University of Guelph's Department of Geography. His research explores applications of geomorphometry to spatial hydrology and geomorphology. He is particularly interested in applications involving laser scanning (LiDAR) for topographic modelling and the use of digital elevation models (DEMs) to model surface drainage patterns. Headwater channel systems, gullies, and ephemeral streams are also important strands of his research program. 
 
<H3><A HREF="https://uwaterloo.ca/water-institute/events/using-open-access-gis-address-issues-spatial-hydrological" TARGET="_blank" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">Official Event Page</A></H3>

Mike and Ophelia Lazaridis Quantum-Nano Centre (QNC)

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