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.
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.
We support the following disaster types expanding to other types in the future: Cyclone, Drought, Earthquake, Flood, Storm, Tornado, Tsunami, Volcano, Wildfire, Winter Storm, Other.
Event Feed has an API through which you can get information about disasters in order to use it on a website or application. Event Feed is integrated into Disaster Ninja so that events with geometry and attribute information are consumed from the Event Feed via API.
The basic entity of a feed is an event. An event refers to a specific disaster with a time frame, footprint, etc.
Each event consists of episodes – snapshots of the state of the event. They show how events are evolving during the time.
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. Event Feed contains real-time data and we also maintain extensive historical data to perform analytics.
We have Public Event Feed available to everyone with a portion of our events. The comprehensive feed is available to Kontur commercial customers. It contains more events with richer metadata.
Contact us if you need an event feed supplier for your project.
If you’d like to get started with our feed, you can start using the public one.
To start using the Public Feed, please fill in this registration form and we will provide you more detailed instructions on how to use it:
Kontur offers specialized basemaps that do not interfere with the display of overlayed colored data.
You can get OpenStreetMap-based map styles made with MapCSS for your products.
Kontur offers advanced mapping and data services.
Whether you face logistic challenges having just addresses you have to put on a map or if you have the whole country insured and want to estimate potential risks in case of disaster, we can enrich your data using various Kontur Platform capabilities.
Estimating losses in the event of a disaster is difficult, and initial loss predictions rarely match the actual costs.
We created an algorithm to compute monetary loss based on statistical data using Kontur Platform capabilities.
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 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.
Global Fires viewer visualizes fire data globally and helps find spots free from smoke pollution during wildfire season.
In case of fire unfolding outside your window, it is vital to know where to find breathable areas nearby. When a threat develops rapidly information should be available at your fingertips. Therefore Kontur has been able to gather information about fires and air quality conditions into a tool available for mobile devices in real-time.
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.