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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 …
popularization and application of various sensors, remote sensing data have shown a rapid …
[HTML][HTML] A Review of Cutting-Edge Sensor Technologies for Improved Flood Monitoring and Damage Assessment
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 …
flood events is accelerating in the context of climate change, where flood management and …
Nowcasting from space: tropical cyclones' impacts on Fiji's agriculture
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 …
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 map**
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 …
machine learning algorithms to predict flood maps in an urban environment (Brisbane, 2022 …