A Bash coding style

This code is so bad, that it is worth sharing.

Access satelite imagery where it is needed

[OLD] This version of the codebase was retired on March 27, 2020. Open Source Collaborative Disaster Recovery and Cleanup

A selection of projects, organisations and useful tools that help humans in crisis situations.

Flood Risk modelling toolbox for Canada

Implementation of a tornado (twister) in Unity that can interact with the environment (including the clouds)

A collaboration platform that facilitates communication, planning and actions for disaster management.

This interactive map highlights who and what has been impacted by this incident and shows the effects of the disaster, its location, and the potential impact it has caused to the infrastructure, businesses, population, and households in and around area of the disaster.

Exploration of BERT-BiLSTM models with Layer Aggregation (attention-based and capsule-routing-based) and Hidden-State Aggregation (attention-based and capsule-routing-based).

T̶̘̊h̷̙͘į̸̀ș̷͌ ̴̳̀r̴̬̕e̷̬͐p̵͍̚o̵̧̎s̶̗͂i̷͚̿t̷̟͝õ̴͙ř̵̘y̷̛̪ ̴̮͌i̶͊͜s̴̠̊ ̴̼͗f̶͘͜i̵̮͊n̴̨̊e̶̖̍!̷̝͋ ̴̨͛T̷̐͜h̷̺̔e̶̩̍r̸̰͒é̶̥ ̸̻̇ȉ̶͍s̵̡̍ ̴̛̫n̶̼̓ọ̷̀t̸̊ͅh̵̙͑ĩ̶͚n̵͙̋g̴̫̃ ̸̼͊w̷̘̿r̶̩̓o̷̠͝n̷͉͌g̶̞͒ ̷̛̼ọ̸̓v̶͍̈́e̵̺͑r̸̻̄ ̴̲̀h̸̉ͅé̶͙r̷̻̾e̷̠͛.̸̨̌

[OLD] Crisis Cleanup Version 3 Web Application based on Vue 2. This version was launched March 27, 2020 and retired March 10, 2023 when it was superseded by a Vue 3 version.

IDRISI is the largest-scale publicly-available Twitter Location Mention Prediction (LMP) datasets, in both English and Arabic languages. It contains 41 disaster events of different types (e.g., floods, fires). Annotations include tagged LMs in posts, location types (e.g., cities, streets), links to OSM toponyms, & usefulness of features for LMD.

Artificial Intelligence Platform for Disasters

Disaster Management System - First Year Final Project

Geoanalytics for climate and disaster risk screening

Emergency Early Warning, Early Action Toolkit(WIP).

An EPANET compatible python package to simulate and analyze water distribution networks under disaster scenarios.

A discrete event disaster recovery simulation built on top of the Simpy discrete event simulation Python library.

Provide Maximum Availability and Disaster Protection for Oracle Systems