Latest Articles for Disaster Management

A new routing protocol enhances UAV network efficiency and reliability.

Discover the impact of the Mamba-based Change Detector in tracking environmental changes.

A new dataset accelerates seismic analysis using innovative machine learning techniques.

Exploring how AI improves the analysis of extreme weather forecasts.

HPix combines deep learning with satellite images to create precise vector maps.

A new method enhances SAR image change detection accuracy.

Examining how education affects flood exposure across 276 Latin American cities.

New models blend physics and data for better landslide forecasts.

DataStorm aids decision-makers by simulating various scenarios during health crises.

A new method enhances object detection in remote sensing images.

Exploring the impact of natural disasters on radiotherapy and cancer care.

Using AI to assess flash flood risks in the Rheraya watershed.

This paper details a plan for AI integration in satellite technology.

DUNE model utilizes machine learning for improved climate predictions and forecasting accuracy.

New method improves accuracy in remote sensing scene classification using contextual relationships.

A novel approach to analyze particle behavior in fluids, focusing on non-spherical shapes.

A digital twin model aims to improve response to airborne contaminants in cities.

New method enhances accuracy of seismic wave modeling using advanced techniques.

Effective communication is vital for disaster response and recovery efforts.

This research enhances SAR robots by integrating human input into their learning processes.

ZeroSCD detects changes in images without requiring prior training or labeled data.

Addressing wildfire detection through a comprehensive satellite imagery dataset.

A method for clearer satellite images directly from unprocessed data.

Introducing a method to better predict severe weather events using diverse data.

Learn how MLLMs enhance our ability to understand satellite imagery.

Scientists improve rain forecasts using innovative radar techniques and multi-source data.

A new model reveals unnoticed waterways to improve infrastructure planning.

Satellites process data onboard for quicker disaster response.

New AI methods enhance rainfall forecasting accuracy using satellite data.

A new model improves short-term weather predictions with precision.

Innovative methods to improve power systems against severe weather challenges.

DYffCast offers advanced forecasts to tackle heavy rainfall challenges in South America.

Prithvi-EO-2.0 enhances satellite data analysis for environmental monitoring.

LLMs offer insights into social media during disasters, but challenges remain.

Exploring smart strategies to enhance urban flood preparedness in Tehran.

Discover how digital twins are changing communication and sensing in tech.

A new method enhances satellite images by combining detail and color.

A fresh method for understanding and predicting severe weather patterns.

TARDIS helps models identify unfamiliar data in satellite imagery for better accuracy.

Exploring how Hurricane Michael impacted Panama City's infrastructure and recovery efforts.