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 …

Size, shape and orientation matter: fast and semi-automatic measurement of grain geometries from 3D point clouds

P Steer, L Guerit, D Lague, A Crave… - Earth Surface …, 2022 - esurf.copernicus.org
The grain-scale morphology and size distribution of sediments are important factors
controlling the erosion efficiency, sediment transport and the aquatic ecosystem quality. In …

A Survey of Decision-Theoretic Approaches for Robotic Environmental Monitoring

Y Sung, Z Chen, J Das, P Tokekar - Foundations and Trends® …, 2023 - nowpublishers.com
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 …

Multiscale object-based classification and feature extraction along Arctic coasts

A Clark, B Moorman, D Whalen, G Vieira - Remote Sensing, 2022 - mdpi.com
Permafrost coasts are experiencing accelerated erosion in response to above average
warming in the Arctic resulting in local, regional, and global consequences. However, Arctic …

Data-driven approaches for tornado damage estimation with unpiloted aerial systems

Z Chen, M Wagner, J Das, RK Doe, RS Cerveny - Remote Sensing, 2021 - mdpi.com
Tornado damage estimation is important for providing insights into tornado studies and
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

Y Chen, J Bao, R Chen, B Li, Y Yang… - Water Resources …, 2024 - Wiley Online Library
Streambed grain sizes control river hydro‐biogeochemical (HBGC) processes and functions.
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

CP Scott, T Giampietro, C Brigham, F Leclerc… - …, 2022 - pubs.geoscienceworld.org
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 …

Pro+: Automated protrusion and critical shear stress estimates from 3D point clouds of gravel beds

EM Yager, J Shim, R Hodge… - Earth Surface …, 2024 - Wiley Online Library
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 …

Quantifying and analysing rock trait distributions of rocky fault scarps using deep learning

Z Chen, C Scott, D Keating, A Clarke… - Earth Surface …, 2023 - Wiley Online Library
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 …

OpenUAV cloud testbed: a collaborative design studio for field robotics

H Anand, SA Rees, Z Chen… - 2021 IEEE 17th …, 2021 - ieeexplore.ieee.org
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 …