Guidelines, datasets, tools, and publications developed by the REDICOP community for remote sensing in disaster management.
Community-developed best practices for using remote sensing in emergency management.
Standardized procedures for acquiring, processing, and interpreting Synthetic Aperture Radar data during flood, hurricane, and earthquake response.
View Document →Step-by-step guide for emergency managers to request and receive commercial and government satellite imagery during active disasters.
View Document →Guidelines for using high-resolution optical satellite and aerial imagery to conduct rapid building damage assessments.
View Document →Open data sources and software tools commonly used by the REDICOP community.
AI-powered geospatial platform for querying authoritative datasets on hazards, climate risk, population, and infrastructure.
Visit nltGIS.ai →Access to GOES, JPSS, and other NOAA satellite systems for weather monitoring and disaster assessment.
NOAA NESDIS →EU's satellite-based rapid mapping service providing damage grading and situation maps within hours of a disaster.
Visit EMS →Cloud-based platform providing access to Sentinel-1 SAR and Sentinel-2 optical imagery with on-the-fly processing capabilities.
View API Docs →Community-contributed scripts, notebooks, and tools for remote sensing analysis in disaster management contexts.
GitHub →Access Landsat, aerial photography, and other USGS datasets for pre- and post-disaster land cover analysis.
Earth Explorer →Comprehensive review of current methodologies, satellite systems, and AI techniques used for flood damage mapping.
Read Paper →Summary of community activities, key findings, and strategic priorities discussed throughout the 2024 meeting series.
View Slides →Side-by-side comparison of resolution, revisit time, tasking costs, and disaster response capabilities of major providers.
Read Report →