Visualization for Riesgo
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Updated
Sep 1, 2019 - JavaScript
Visualization for Riesgo
Machine learning-assisted Python tool for landslide susceptibility mapping and uncertainty analysis.
Repository for the Open Data for Resilience Index, a website to track and improve the state of Open Data for Resilience worldwide.
The Risk Data Library Standard (RDLS) is an open data standard to make it easier to work with disaster and climate risk data. It provides a common description of the data used and produced in risk assessments, including hazard, exposure, vulnerability, and modelled loss, or impact, data.
Streamlit Dashboard for the EM-DAT Data
Official repository for the AuroraAxiom project.
CATIA is a catastrophe AI system that integrates advanced artificial intelligence, actuarial science, risk analysis, and machine learning to provide robust assessments of natural hazards such as hurricanes, floods, and wildfires, with a focus on financial impacts and mitigation strategies.
This repo consists of the codes used for a paper titled "DISFUNCTIONALITY HAZARD: A RISK-BASED TOOL TO SUPPORT THE RESILIENT DESIGN OF SYSTEMS SUBJECTED TO SINGLE HAZARDS AND MULTIHAZARDS."
DROPEX (Disaster Rescue Operation and Probing of EXpert Drones) is Disaster Risk Management Project developed to perform optimized and autonomous rescue operations to overcome the comebacks of traditional manual operations or even traditional drone operations.
WordPress code for RiskProfiler.ca, developed by HabitatSeven
A Python toolkit for analyzing high-frequency human mobility data to support urban resilience and disaster risk management. It provides tools to process mobility trajectories, detect behavioral responses to extreme events, and generate spatial and temporal indicators for disaster impact assessment.
SSRS RO4 - Disaster Research Group is a research group of IPB SSRS Association
[PJDSC 2025] Explainable, street-level flood-risk mapping for Philippine cities.
An ongoing & curated collection of awesome software best practices and techniques, libraries and frameworks, E-books and videos, websites, blog posts, links to github Repositories, technical guidelines and important resources about Business Continuity and Disaster Recovery in Cybersecurity.
Team (of 4) entry for Forest fire prediction and spread modeling in the region of Uttarakhand for the Bharatiya Antariksh Hackathon organised by ISRO
SAR-based flood mapping workflow for the 2017 Coastal El Niño flood event in northern Peru using Sentinel-1 and Google Earth Engine.
A barangay-first disaster preparedness and evacuation app for Filipino communities, offline maps, live evacuation tracking, AI-generated LGU reports, and SMS fallback for residents without smartphones.
A prototype disaster preparedness game in C#/MonoGame.
A working repository for the PhD research project on auditing the global disaster risk to assess whether countries are making progress on the Sendai Framework from the perspective of probabilistic catastrophe models and artificial intelligence
This project uses alternative data to assess the socioeconomic impacts of the 2023 Morocco earthquake. It analyzes indicators such as population impacts, connectivity, economic activity, drought conditions, and conflict trends using geospatial, mobility, survey, and remote sensing data to support damage assessment and displacement monitoring.
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