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Assessing Optimal Digital Elevation Model Selection for Active River Area Delineation Across Broad Regions

Author

Listed:
  • Shizhou Ma

    (Dalhousie University)

  • Karen F. Beazley

    (Dalhousie University)

  • Patrick Nussey

    (Dalhousie University
    Nature Conservancy of Canada)

  • Christopher S. Greene

    (Dalhousie University
    Dalhousie University)

Abstract

The Active River Area (ARA) is a spatial approach for identifying the extent of functional riparian area. Given known limitations in terms of input elevation data quality, ARA studies to date have not achieved effective computer-based ARA components delineation, limiting the efficacy of the ARA framework in terms of informing riparian conservation and management. To determine the optimal input elevation data for future ARA studies, this study tested a novel digital elevation model (DEM) smoothing algorithm and assessed ARA outputs derived from a range of DEMs for accuracy and efficiency. It was found that the tested DEM smoothing algorithm allows the ARA framework to take advantage of high-resolution LiDAR DEM and considerably improves the accuracy of high-resolution LiDAR DEM derived ARA results; smoothed LiDAR DEM in 5-m spatial resolution best balanced ARA accuracy and data processing efficiency and is ultimately recommended for future ARA delineations across large regions. The scientific findings provided by this study further enhance the efficacy of the ARA framework, and ultimately the confidence in modelled ARA outputs for application in riparian conservation and management contexts across broad geographic regions.

Suggested Citation

  • Shizhou Ma & Karen F. Beazley & Patrick Nussey & Christopher S. Greene, 2021. "Assessing Optimal Digital Elevation Model Selection for Active River Area Delineation Across Broad Regions," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(14), pages 4825-4840, November.
    • Handle: RePEc:spr:waterr:v:35:y:2021:i:14:d:10.1007_s11269-021-02948-7
    DOI: 10.1007/s11269-021-02948-7
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    References listed on IDEAS

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    1. Zhengyong Zhao & Glenn Benoy & Thien Chow & Herb Rees & Jean-Louis Daigle & Fan-Rui Meng, 2010. "Impacts of Accuracy and Resolution of Conventional and LiDAR Based DEMs on Parameters Used in Hydrologic Modeling," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 24(7), pages 1363-1380, May.
    2. Manish Kumar Goyal & Venkatesh K. Panchariya & Ashutosh Sharma & Vishal Singh, 2018. "Comparative Assessment of SWAT Model Performance in two Distinct Catchments under Various DEM Scenarios of Varying Resolution, Sources and Resampling Methods," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(2), pages 805-825, January.
    3. Mou Leong Tan & Hilmi P. Ramli & Tze Huey Tam, 2018. "Effect of DEM Resolution, Source, Resampling Technique and Area Threshold on SWAT Outputs," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(14), pages 4591-4606, November.
    4. Maryam Roostaee & Zhiqiang Deng, 2020. "Effects of Digital Elevation Model Resolution on Watershed-Based Hydrologic Simulation," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(8), pages 2433-2447, June.
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