Global ETD Search

Snow Depth Distribution Patterns and Consistency from Airborne Lidar Time Series

Mason, Megan A.

boise Repository record for Snow Depth Distribution Patterns and Consistency from Airborne Lidar Time Series (opens in a new tab)

Development of a deep learning framework for accelerated training and efficient classification of aerial LiDAR data

Othman, Fauzy Omar Basheer BinMathematical and Computer Sciences2025

… against intrusions or anomalies. Aerial LiDAR scanners enable around the clock surveillance, as they are active sensors emitting laser pulses to capture detailed point cloud data of surface objects under any lighting conditions. However, there are challenges in processing the large data …

heriot-watt Repository record for Development of a deep learning framework for accelerated training and efficient classification of aerial LiDAR data (opens in a new tab)

Estimated Distributed Near-Field Surface Displacements Using Nascent Mobile Laser Scanning

Zhu, XinxiangUniversity of Houston2022

… dense observations of surface displacements over time. However, it remains challenging to observe distributed fault displacements due to non-linear deformation. Observation of near-field displacements challenges the level of detection limits of modern geosensing measurements because the rate of …

houston Repository record for Estimated Distributed Near-Field Surface Displacements Using Nascent Mobile Laser Scanning (opens in a new tab)

River channel dynamics mapped with dense lidar point cloud time series

Nelson, Mariel D.The University of Texas at Austin2025

… topographic changes observable over human time scales. The beauty and ubiquity of the patterns created by meander migration—as well as the consequences of rapid channel movement for river-adjacent communities—have led to a deep history of their study from both geologic and water …

texas Repository record for River channel dynamics mapped with dense lidar point cloud time series (opens in a new tab)