Latest Articles for Disaster Management

A new method enhances target recognition in SAR images with less training data.

AtmoRep enhances weather predictions using AI and historical data.

A look into the challenges and techniques of predicting infrequent events.

This study compares different machine learning models for accurate building detection.

A new game approach enhances evacuation planning during disasters.

A new method merges satellite images and mobile data for urgent event response.

Introducing CAMixer, a novel approach for detecting changes in synthetic aperture radar images.

A new method improves conversion of Optical images to SAR images.

A new method improves real-time weather predictions for Italy, focusing on wind speed.

New model improves accuracy of short-term rainfall forecasts using advanced technology.

DOFA model improves analysis of Earth observation data by integrating multiple data types.

ELGC-Net improves accuracy in detecting changes using satellite images.

Discover how SDF2Net improves PolSAR image analysis and classification accuracy.

This method improves hyperspectral band selection by using LiDAR data for analysis.

New methods enhance image quality in satellite imagery.

This study analyzes how floods and social events impact human movement patterns.

Learn how experts predict wildfires using data and models.

Learn how optical fibers help track natural events with high precision.

A new method enhances remote sensing image editing using minimal data and text guidance.

ADSumm provides crucial summaries for better disaster response.

Combining data sources for better weather forecasts in the Philippines.

EvaNet combines satellite images and elevation data for better flood mapping accuracy.

Examining how ENSO affects extreme rainfall patterns in India’s summer monsoon.

Koodos framework enhances model adaptability to changing data in real-time scenarios.

Using electric vehicles to provide power to telecom base stations in outages.

A new method estimates war damage through satellite imagery for humanitarian aid.

Adaptive mesh refinement enhances accuracy in weather forecasting by adjusting detail dynamically.

A new framework improves object detection using aerial and ground vehicles.

New method improves satellite image quality using multiple low-resolution inputs.

A new method in remote sensing improves change detection accuracy using masks.

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.