Event Feed
Event Feed

Event Feed by Kontur collects, processes, prioritizes and delivers disaster information from multiple data suppliers.

The data service operates on a global scale allowing businesses and humanitarian assistance organizations to access real-time information and manage hazards as they unfold.

A year of fires (10-21-2019 – 10-20-2020) burning at the same time.

Kontur Event Feed is easy to consume. It helps assess risks, estimate the impact on residents and infrastructure, and see what is needed to keep people and assets safe.

Kontur provides event footprint polygons, intensity, and severity gathered and selected from all available sources. This data can be combined with Kontur Population and utilized in various scenarios across humanitarian, governmental, insurance verticals. We also maintain extensive historical data to perform analytics.

Contact us if you need an event feed supplier for your project.

Our other projects
Disaster Ninja

Disaster Ninja lets emergency cartographers prepare mapping tasks in minutes instead of hours.

When a disaster strikes, humanitarian mapping teams face such challenges as choosing the area that needs to be mapped as quickly and accurately as possible. Our interactive dashboard helps save precious time by presenting the event’s details and all available datasets in a succinct, visual form.

Dispatcher 112

Dispatcher 112 app helps dispatchers locate the closest fire stations and send the fire brigades faster to the emergency scene.

The laconic solution includes a typo-proof address search, custom routing algorithm for fire trucks, street length, and roof area measuring tools. The technology works well for the Minsk Fire Dept. and can improve disaster response worldwide.

Population dataset

We are building the ultimate publicly available global population dataset by obtaining and processing all available data and fixing all known issues.

It was initially developed as a fundamental part of Disaster Ninja to help Humanitarian OpenStreetMap Team take actions confidently based on data correlated with population density.