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

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 fram...

Full description

Saved in:
Bibliographic Details
Published in:Water resources management Vol. 35; no. 14; pp. 4825 - 4840
Main Authors: Ma, Shizhou, Beazley, Karen F., Nussey, Patrick, Greene, Christopher S.
Format: Journal Article
Language:English
Published: Dordrecht Springer Netherlands 01.11.2021
Springer Nature B.V
Subjects:
Accuracy
administrative management
Algorithms
Atmospheric Sciences
Civil Engineering
Conservation
Data analysis
Data processing
data quality
Delineation
Digital Elevation Models
Earth and Environmental Science
Earth Sciences
Elevation
Environment
Frameworks
Geotechnical Engineering & Applied Earth Sciences
High resolution
Hydrogeology
Hydrology/Water Resources
Lidar
Regions
Resolution
riparian areas
Rivers
Smoothing
Spatial discrimination
Spatial resolution
water
GIS
Riparian delineation
Digital elevation model
River management
Flooding
ISSN:0920-4741, 1573-1650
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
content type line 23
ISSN:0920-4741
1573-1650
DOI:10.1007/s11269-021-02948-7