Data Services

Data Services

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 Cloud Platform capabilities and optimal spatial data formats required for a given objective.

Data Services Capabilities

Access to satellite imagery specific to time and location

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.

AI-powered built-up areas mapping

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.

Routing: community map maintenance

We provide custom route planning tools based on complex geographical information with cleaned-up OpenStreetMap data for logistics needs.

Custom global datasets creation

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.

Region maintenance in OpenStreetMap

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.

Use Cases

Kontur Population

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 Disaster Response Project

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.

Contact us to get estimates.

Our other projects
Catchment Area Analysis

If you’re in the business of selling goods or services, then you know how important it is to get them to your customers as quickly and efficiently as possible. One useful tool for this is catchment area creation.

Custom Basemaps

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 Loss Estimation

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

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.

Event Feed

Get information about changes in the course of events from reputable sources via a simple service and use that to make decisions about people, infrastructure and assets faster.

Global Fires

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.

Population Density 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.

Site selection analysis

Site selection analysis is a critical process that involves a comprehensive assessment of potential locations for a business operation, such as a new store, manufacturing plant, or office. It entails gathering and analyzing various factors, such as market socioeconomics, competition, transportation and infrastructure, labor availability, real estate costs, and regulatory environment.

By conducting this analysis, businesses can make informed decisions about where to establish or expand their operations while considering the strengths and weaknesses of each potential area.

Smart City Tools

Kontur offers various tools to empower municipal authorities, urban planners, and businesses with geospatial analytics and situational intelligence for achieving smart city objectives.