Helping organisations transition towards data driven strategy. We build custom user centric applications that combine multiple data sources such as open data, satellite data, social media data and automated learning to support decision making tasks. Application areas include site selection in real estate, asset management with natural resources, and marketing analytics for digital content.
Land Ecosystems; Land use; Urban Areas; Infrastructure; Local and regional planners; Topography
Land use, Topography, Urban Areas, Land Ecosystems, Environmental, Pollution & Climate, Local and regional planners
Renovatio is a data driven decision support system for real estate sector. It helps users to find information about the building, and neighbourhood to reduce time to research information, and better estimate risk in projects.
Agriculture, Infrastructure, Land Ecosystems, Land use, Farming, Insurance & Finance, Local and regional planners
With AutoMap, the handling of satellite images has never been easier! We simplify the production of maps based on earth observation data and handle the application of machine learning algorithms for land surface classifications by providing a solid data processing pipeline in a fully managed cloud infrastructure. Bring your own samples or use our default solution, while we take care of the thousands of images that fit your request, all the clouds in your area of interest and every aspect of process optimization and secure data storage. Don't worry about machine learning concepts, intelligent training data collection, hyperparameter optimization or informative feature spaces - That's our job as well! Seeing the world from above is now as demanding as ordering a pizza!
Floods, Inland Water, Land Ecosystems, Geology, Forests, Infrastructure, Land use, Urban Areas, Fires, Earthquakes, Construction, Emergency Services, Environmental, Pollution & Climate, Farming, Utilities (water, electricity, waste) , Oil and Gas, Minerals and Mining
LCA stands for Land Cover Analysis and is used to provide an up to date, digital overview of what covers the surface of our earth split out into 10 key land cover classes. The LCA is often the first step in many environmental monitoring or site selection processes.
Infrastructure, Map and monitor solar energy (solar farms), solar energy, solar radiation, Monitor urban areas, Urban Areas, urban development, urban settlement, urban atlas, urban areas, smart cities, individual houses inventory, Alternative Energy, Regional planners, Solar energy, Environment, Real-estate management
NEO monitors solar panels throughout the Netherlands using deep learning methods. Solar panels are detected using various resolutions of satellite and aerial imagery. The panels are digitalized by the algorithm and related to 3D-roofs based on the AHN (Dutch national height model) to calculate zenith and azimuth angles. This data, combined with data such as solar power, allows NEO to estimate the power output for each object. Solar panels are also provided with parcel and address information and statistical reports, so customers can easily apply the data and relate it to internal registrations.