[HTML][HTML] Designing airspace for urban air mobility: A review of concepts and approaches
A Bauranov, J Rakas - Progress in Aerospace Sciences, 2021 - Elsevier
The article brings together the academic and industry literature on the design and
management of urban airspace. We analyze the proposed airspace concepts, identify their …
management of urban airspace. We analyze the proposed airspace concepts, identify their …
Drones for conservation in protected areas: Present and future
J Jiménez López, M Mulero-Pázmány - Drones, 2019 - mdpi.com
Park managers call for cost-effective and innovative solutions to handle a wide variety of
environmental problems that threaten biodiversity in protected areas. Recently, drones have …
environmental problems that threaten biodiversity in protected areas. Recently, drones have …
Fire‐Net: A Deep Learning Framework for Active Forest Fire Detection
Forest conservation is crucial for the maintenance of a healthy and thriving ecosystem. The
field of remote sensing (RS) has been integral with the wide adoption of computer vision and …
field of remote sensing (RS) has been integral with the wide adoption of computer vision and …
RF-based drone detection and identification using deep learning approaches: An initiative towards a large open source drone database
The omnipresence of unmanned aerial vehicles, or drones, among civilians can lead to
technical, security, and public safety issues that need to be addressed, regulated and …
technical, security, and public safety issues that need to be addressed, regulated and …
A survey on multi-robot coverage path planning for model reconstruction and mapping
There has been an increasing interest in researching, developing and deploying multi-robot
systems. This has been driven mainly by: the maturity of the practical deployment of a single …
systems. This has been driven mainly by: the maturity of the practical deployment of a single …
Deep learning approaches for wildland fires remote sensing: Classification, detection, and segmentation
R Ghali, MA Akhloufi - Remote Sensing, 2023 - mdpi.com
The world has seen an increase in the number of wildland fires in recent years due to
various factors. Experts warn that the number of wildland fires will continue to increase in the …
various factors. Experts warn that the number of wildland fires will continue to increase in the …
Intelligent and vision-based fire detection systems: A survey
F Bu, MS Gharajeh - Image and vision computing, 2019 - Elsevier
Fire is one of the main disasters in the world. A fire detection system should detect fires in
various environments (eg, buildings, forests, and rural areas) in the shortest time in order to …
various environments (eg, buildings, forests, and rural areas) in the shortest time in order to …
Unmanned aerial vehicle (UAV) remote sensing in grassland ecosystem monitoring: A systematic review
X Lyu, X Li, D Dang, H Dou, K Wang, A Lou - Remote Sensing, 2022 - mdpi.com
In recent years, the application of unmanned aerial vehicle (UAV) remote sensing in
grassland ecosystem monitoring has increased, and the application directions have …
grassland ecosystem monitoring has increased, and the application directions have …
Autonomous unmanned aerial vehicles in bushfire management: Challenges and opportunities
S Partheepan, F Sanati, J Hassan - Drones, 2023 - mdpi.com
The intensity and frequency of bushfires have increased significantly, destroying property
and living species in recent years. Presently, unmanned aerial vehicle (UAV) technology …
and living species in recent years. Presently, unmanned aerial vehicle (UAV) technology …
UAV multispectral imagery can complement satellite data for monitoring forest health
The development of methods that can accurately detect physiological stress in forest trees
caused by biotic or abiotic factors is vital for ensuring productive forest systems that can …
caused by biotic or abiotic factors is vital for ensuring productive forest systems that can …