UAV remote sensing applications in marine monitoring: Knowledge visualization and review

Z Yang, X Yu, S Dedman, M Rosso, J Zhu… - Science of The Total …, 2022 - Elsevier
With the booming development of information technology and the growing demand for
remote sensing data, unmanned aerial vehicle (UAV) remote sensing technology has …

Contribution of remote sensing technologies to a holistic coastal and marine environmental management framework: a review

BE Mahrad, A Newton, JD Icely, I Kacimi, S Abalansa… - Remote Sensing, 2020 - mdpi.com
Coastal and marine management require the evaluation of multiple environmental threats
and issues. However, there are gaps in the necessary data and poor access or …

Uncrewed aerial systems in water resource management and monitoring: a review of sensors, applications, software, and issues

V Mishra, R Avtar, AP Prathiba… - Advances in Civil …, 2023 - Wiley Online Library
Uncrewed aerial systems (UASs) are becoming very popular in the domain of water
resource mapping and management (WRMM). Being a cheaper and quicker option capable …

Routing schemes in FANETs: A survey

MF Khan, KLA Yau, RM Noor, MA Imran - Sensors, 2019 - mdpi.com
Flying ad hoc network (FANET) is a self-organizing wireless network that enables
inexpensive, flexible, and easy-to-deploy flying nodes, such as unmanned aerial vehicles …

Multi-robot task allocation in disaster response: Addressing dynamic tasks with deadlines and robots with range and payload constraints

P Ghassemi, S Chowdhury - Robotics and Autonomous Systems, 2022 - Elsevier
This paper tackles a class of multi-robot task allocation (MRTA) problems called “Single-
Task Robots and Single-Robot Tasks” or SR–ST problems, subject to the following …

Monitoring offshore oil pollution using multi-class convolutional neural networks

Z Ghorbani, AH Behzadan - Environmental Pollution, 2021 - Elsevier
Oil and gas production operations are a major source of environmental pollution that expose
people and habitats in many coastal communities around the world to adverse health …

[HTML][HTML] Examining application-specific resiliency implementations in UAV swarm scenarios

A Phadke, FA Medrano - Intelligence & Robotics, 2023 - oaepublish.com
The number of real-world scenarios where the use of an unmanned aerial vehicle (UAV)
swarm is beneficial has greatly increased in recent years. From precision agriculture to …

Navigation of a network of aerial drones for monitoring a frontier of a moving environmental disaster area

AV Savkin, H Huang - IEEE Systems Journal, 2020 - ieeexplore.ieee.org
This article focuses on monitoring of a moving disaster area using aerial drones. The aim is
to navigate a network of drones to the frontier of the disaster area so that they are able to …

Automatic collective motion tuning using actor-critic deep reinforcement learning

S Abpeikar, K Kasmarik, M Garratt, R Hunjet… - Swarm and Evolutionary …, 2022 - Elsevier
Collective behaviours such as swarm formation of autonomous agents offer the advantages
of efficient movement, redundancy, and potential for human guidance of a single swarm …

Oil spill environmental sensitivity mapping of Rio de Janeiro, Brazil

FH Rodrigues, A de Andrade Kolya, VM Veiga… - Marine Pollution …, 2023 - Elsevier
The current case study focuses on the Environmental Sensitivity Index (ESI) mapping of
Guanabara Bay, Rio de Janeiro, Brazil—a region at risk from petroleum sector pollution. By …