Author(s): Smriti Chaulagain
Linked Author(s):
Keywords: No Keywords
Abstract: The objective of this research is to evaluate the feasibility of using remote sensing-based methods to estimate hydraulic roughness of vegetated floodplains. A Canopy Height Model (CHM) was developed to determine the height of vegetation. Leaf area index (LAI) was determined using Light Detection and Ranging (LiDAR) data. Finally, new algorithms within a two-dimensional hydrodynamic model (SRH-2D) were used to compute dynamic roughness of vegetation. The results allowed for a comparison between traditional (lookup table) and remote sensing based dynamic roughness coefficients and on how these changes in roughness impacted water depth, velocity, and inundation area.
Year: 2018