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Papers by Joshua Hess

Research paper thumbnail of Assessing the Role of sUAS Mission Design in the Accuracy of Digital Surface Models Derived from Structure-from-Motion Photogrammetry

Geotechnologies and the environment, 2022

Research paper thumbnail of Stream Channel Morphology and Riparian Forest Response to a 500-year Flood in the Missouri Ozarks

Climate change has increased the frequency of large floods in rivers draining the Ozark Highlands... more Climate change has increased the frequency of large floods in rivers draining the Ozark Highlands resulting in higher rates of channel sedimentation, bank erosion, and damage to infrastructure. This study assesses the effects of a large flood (>500-year RI) during April-May 2017 on riparian forests along six tributary streams in the North Fork of the White River watershed, Missouri. High-resolution (<8 cm) Unmanned Aerial Vehicle (UAV) imagery collected after the flood was used to identify riparian forest flood damage. Measurements of riparian forest flood damage calculated from the UAV imagery were verified through field surveys of damaged riparian trees. Geomorphic variables of valley confinement, sinuosity, substrate, and stream power were evaluated and used to explain the spatial distribution of riparian forest flood damage. In total over 1,000 damaged trees were identified at the sample reaches and canopy cover was reduced by up to 63%. Regression analysis showed positive...

Research paper thumbnail of Assessing the Role of sUAS Mission Design in the Accuracy of Digital Surface Models Derived from Structure-from-Motion Photogrammetry

Geotechnologies and the environment, 2022

Research paper thumbnail of Stream Channel Morphology and Riparian Forest Response to a 500-year Flood in the Missouri Ozarks

Climate change has increased the frequency of large floods in rivers draining the Ozark Highlands... more Climate change has increased the frequency of large floods in rivers draining the Ozark Highlands resulting in higher rates of channel sedimentation, bank erosion, and damage to infrastructure. This study assesses the effects of a large flood (>500-year RI) during April-May 2017 on riparian forests along six tributary streams in the North Fork of the White River watershed, Missouri. High-resolution (<8 cm) Unmanned Aerial Vehicle (UAV) imagery collected after the flood was used to identify riparian forest flood damage. Measurements of riparian forest flood damage calculated from the UAV imagery were verified through field surveys of damaged riparian trees. Geomorphic variables of valley confinement, sinuosity, substrate, and stream power were evaluated and used to explain the spatial distribution of riparian forest flood damage. In total over 1,000 damaged trees were identified at the sample reaches and canopy cover was reduced by up to 63%. Regression analysis showed positive...

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