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Disaster Response

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Showing 51–75 of 217 papers

TitleStatusHype
OpenEarthMap-SAR: A Benchmark Synthetic Aperture Radar Dataset for Global High-Resolution Land Cover Mapping—0
Deep Self-Supervised Disturbance Mapping with the OPERA Sentinel-1 Radiometric Terrain Corrected SAR Backscatter ProductCode0
BRIGHT: A globally distributed multimodal building damage assessment dataset with very-high-resolution for all-weather disaster responseCode3
Leveraging Social Media Data and Artificial Intelligence for Improving Earthquake Response Efforts—0
EarthDial: Turning Multi-sensory Earth Observations to Interactive Dialogues—0
Cross-View Geo-Localization with Street-View and VHR Satellite Imagery in Decentrality SettingsCode1
Harnessing Language for Coordination: A Framework and Benchmark for LLM-Driven Multi-Agent Control—0
Iterating the Transient Light Transport Matrix for Non-Line-of-Sight Imaging—0
Predictive Modeling of Shading Effects on Photovoltaic Panels Using Regression Analysis—0
A Scalable Decentralized Reinforcement Learning Framework for UAV Target Localization Using Recurrent PPO—0
Multiclass Post-Earthquake Building Assessment Integrating High-Resolution Optical and SAR Satellite Imagery, Ground Motion, and Soil Data with Transformers—0
Prithvi-EO-2.0: A Versatile Multi-Temporal Foundation Model for Earth Observation ApplicationsCode3
Rapid Distributed Fine-tuning of a Segmentation Model Onboard SatellitesCode0
Adaptively Augmented Consistency Learning: A Semi-supervised Segmentation Framework for Remote Sensing—0
From Pixels to Prose: Advancing Multi-Modal Language Models for Remote Sensing—0
Integration of Large Vision Language Models for Efficient Post-disaster Damage Assessment and Reporting—0
Mapping Global Floods with 10 Years of Satellite Radar DataCode2
Instruction-Tuning Llama-3-8B Excels in City-Scale Mobility PredictionCode1
Habaek: High-performance water segmentation through dataset expansion and inductive bias optimizationCode0
Accelerate Coastal Ocean Circulation Model with AI Surrogate—0
DiRecNetV2: A Transformer-Enhanced Network for Aerial Disaster Recognition—0
A Social Context-aware Graph-based Multimodal Attentive Learning Framework for Disaster Content Classification during Emergencies—0
DisasterQA: A Benchmark for Assessing the performance of LLMs in Disaster Response—0
Zero-Shot Classification of Crisis Tweets Using Instruction-Finetuned Large Language Models—0
On-Air Deep Learning Integrated Semantic Inference Models for Enhanced Earth Observation Satellite Networks—0
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