Google earth engine cloud computing platform for remote sensing big data applications: A comprehensive review

M Amani, A Ghorbanian, SA Ahmadi… - IEEE Journal of …, 2020 - ieeexplore.ieee.org
Remote sensing (RS) systems have been collecting massive volumes of datasets for
decades, managing and analyzing of which are not practical using common software …

Google Earth Engine and artificial intelligence (AI): a comprehensive review

L Yang, J Driscol, S Sarigai, Q Wu, H Chen, CD Lippitt - Remote Sensing, 2022 - mdpi.com
Remote sensing (RS) plays an important role gathering data in many critical domains (eg,
global climate change, risk assessment and vulnerability reduction of natural hazards …

Frontiers in quantifying wildlife behavioural responses to chemical pollution

MG Bertram, JM Martin, ES McCallum… - Biological …, 2022 - Wiley Online Library
Animal behaviour is remarkably sensitive to disruption by chemical pollution, with
widespread implications for ecological and evolutionary processes in contaminated wildlife …

Operational protocols for the use of drones in marine animal research

V Raoult, AP Colefax, BM Allan, D Cagnazzi… - Drones, 2020 - mdpi.com
The use of drones to study marine animals shows promise for the examination of numerous
aspects of their ecology, behaviour, health and movement patterns. However, the responses …

[HTML][HTML] Exploring artificial intelligence for applications of drones in forest ecology and management

A Buchelt, A Adrowitzer, P Kieseberg, C Gollob… - Forest Ecology and …, 2024 - Elsevier
This paper highlights the significance of Artificial Intelligence (AI) in the realm of drone
applications in forestry. Drones have revolutionized various forest operations, and their role …

Deep learning enables satellite-based monitoring of large populations of terrestrial mammals across heterogeneous landscape

Z Wu, C Zhang, X Gu, I Duporge, LF Hughey… - Nature …, 2023 - nature.com
New satellite remote sensing and machine learning techniques offer untapped possibilities
to monitor global biodiversity with unprecedented speed and precision. These efficiencies …

Fusion of visible and thermal images improves automated detection and classification of animals for drone surveys

BS Krishnan, LR Jones, JA Elmore, S Samiappan… - Scientific Reports, 2023 - nature.com
Visible and thermal images acquired from drones (unoccupied aircraft systems) have
substantially improved animal monitoring. Combining complementary information from both …

Opportunities and risks in the use of drones for studying animal behaviour

L Schad, J Fischer - Methods in Ecology and Evolution, 2023 - Wiley Online Library
In the last decade, drones have become an affordable technology offering highly mobile
aerial platforms that can carry a range of sensory equipment into hitherto uncharted areas …

Riverine plastic litter monitoring using unmanned aerial vehicles (UAVs)

M Geraeds, T van Emmerik, R de Vries… - Remote Sensing, 2019 - mdpi.com
Plastic debris has become an abundant pollutant in marine, coastal and riverine
environments, posing a large threat to aquatic life. Effective measures to mitigate and …

UAV-based studies in railway infrastructure monitoring

P Aela, HL Chi, A Fares, T Zayed, M Kim - Automation in Construction, 2024 - Elsevier
This review paper provides a comprehensive overview of Unmanned Aerial Vehicles (UAV)
applications in railway infrastructure studies, with a specific focus on railway track …