Detection of Tornado damage in forested regions via convolutional neural networks and uncrewed aerial system photogrammetry
S Carani, TJ Pingel - Natural Hazards, 2023 - Springer
Disaster damage assessments are a critical component to response and recovery
operations. In recent years, the field of remote sensing has seen innovations in automated …
operations. In recent years, the field of remote sensing has seen innovations in automated …
Size, shape and orientation matter: fast and semi-automatic measurement of grain geometries from 3D point clouds
The grain-scale morphology and size distribution of sediments are important factors
controlling the erosion efficiency, sediment transport and the aquatic ecosystem quality. In …
controlling the erosion efficiency, sediment transport and the aquatic ecosystem quality. In …
A Survey of Decision-Theoretic Approaches for Robotic Environmental Monitoring
Robotics has dramatically increased our ability to gather data about our environments,
creating an opportunity for the robotics and algorithms communities to collaborate on novel …
creating an opportunity for the robotics and algorithms communities to collaborate on novel …
Multiscale object-based classification and feature extraction along Arctic coasts
Permafrost coasts are experiencing accelerated erosion in response to above average
warming in the Arctic resulting in local, regional, and global consequences. However, Arctic …
warming in the Arctic resulting in local, regional, and global consequences. However, Arctic …
Data-driven approaches for tornado damage estimation with unpiloted aerial systems
Tornado damage estimation is important for providing insights into tornado studies and
assisting rapid disaster response. However, it is challenging to precisely estimate tornado …
assisting rapid disaster response. However, it is challenging to precisely estimate tornado …
Quantifying streambed grain size, uncertainty, and hydrobiogeochemical parameters using machine learning model YOLO
Streambed grain sizes control river hydro‐biogeochemical (HBGC) processes and functions.
However, measuring their quantities, distributions, and uncertainties is challenging due to …
However, measuring their quantities, distributions, and uncertainties is challenging due to …
Semiautomatic algorithm to map tectonic faults and measure scarp height from topography applied to the Volcanic Tablelands and the Hurricane fault, western US
Observations of fault geometry and cumulative slip distribution serve as critical constraints
on fault behavior over temporal scales ranging from a single earthquake to a fault's complete …
on fault behavior over temporal scales ranging from a single earthquake to a fault's complete …
Pro+: Automated protrusion and critical shear stress estimates from 3D point clouds of gravel beds
The dimensionless critical shear stress (τ* c) needed for the onset of sediment motion is
important for a range of studies from river restoration projects to landscape evolution …
important for a range of studies from river restoration projects to landscape evolution …
Quantifying and analysing rock trait distributions of rocky fault scarps using deep learning
We apply a deep learning model to segment and identify rock characteristics based on a
Structure‐from‐Motion orthomap and digital elevation model of a rocky fault scarp in the …
Structure‐from‐Motion orthomap and digital elevation model of a rocky fault scarp in the …
OpenUAV cloud testbed: a collaborative design studio for field robotics
Simulations play a crucial role in robotics research and education. This paper presents the
OpenUAV testbed, an open-source, easy-to-use, web-based, and reproducible software …
OpenUAV testbed, an open-source, easy-to-use, web-based, and reproducible software …