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 Cloud Platform capabilities and optimal spatial data formats required for a given objective.
Kontur’s broad partnership range provides pre- and post-event satellite imagery. Remote sensing allows for ad-hoc geospatial analysis and rapid mapping of affected territories and buildings.
We use deep learning models for buildings footprint detection combined with manual area-specific revisions to provide urban area maps for customers. Available data attributes contain buildings’ heights and likely specializations.
We provide custom route planning tools based on complex geographical information with cleaned-up OpenStreetMap data for logistics needs.
We created the ultimate publicly available global population dataset as a fundamental part of Disaster Ninja to help Humanitarian OpenStreetMap Team take action confidently based on data correlated with population density.
Kontur Boundaries dataset is released and maintained for our customers to provide an open useful way to perform analytics on different administrative levels. We base it on OpenStreetMap and fix the issues in the upstream open data using Disaster Ninja Reports. Have a look if you need a commercially accessible open boundaries dataset.
Kontur offers subscription-based mapping services for customers including roads, buildings, routing, and makes company map data up to date. We can get it cleaned up using feedback from your day-to-day operations.
Kontur’s Disaster Ninja lets emergency cartographers prepare mapping tasks faster when a disaster strikes. We created Kontur Population dataset to correlate available map data with population density and help disaster mappers start mapping campaigns where it has humanitarian impact. Learn more about Kontur Population.
Bahamas Islands were severely affected by Hurricane Dorian in September 2019. The Category 5 hurricane damage amounted to US$3.4 billion. An estimated 13,000 homes, constituting 45% of the homes on the Abacos and Grand Bahama, suffered severe damage or were completely destroyed.
Kontur was involved in the disaster response project. We processed the post-disaster satellite imagery to provide the building footprints map of the Islands. It helped determine the damage and destruction degree and costs for organizations working with catastrophe aftermath.
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.
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.