[HTML][HTML] A Review of Cutting-Edge Sensor Technologies for Improved Flood Monitoring and Damage Assessment

Y Tao, B Tian, BR Adhikari, Q Zuo, X Luo, B Di - Sensors, 2024 - mdpi.com
Floods are the most destructive, widespread, and frequent natural hazards. The extent of
flood events is accelerating in the context of climate change, where flood management and …

State of the art: high-performance and high-throughput computing for remote sensing big data

S Zhang, Y Xue, X Zhou, X Zhang… - IEEE Geoscience and …, 2022 - ieeexplore.ieee.org
In recent years, with the increasing number of Earth observation satellites and the
popularization and application of various sensors, remote sensing data have shown a rapid …

Nowcasting from space: tropical cyclones' impacts on Fiji's agriculture

I Noy, E Blanc, M Pundit, T Uher - Natural Hazards, 2023 - Springer
Ground-based disaster damage assessments typically take the form of a team of experts
being sent to the affected areas to conduct a survey. This approach is time-consuming …

Applying different machine learning and spectral indices in satellite imagery for flood mapping

L Li - 2024 - eprints.qut.edu.au
This research combined spectral indices from a high-resolution satellite and several
machine learning algorithms to predict flood maps in an urban environment (Brisbane, 2022 …