Each product is customizable
Markus Eichhorn
+49 228 / 38 75 80 80

Urban green spaces

Automated capturing of green spaces with detailed parameters from aerial images and delivery as a data package

Capturing of urban green spaces

Urban planners, environmentalists and real estate developers as well as municipal green space offices need accurate and up-to-date data on urban green spaces in order to make effective decisions in the areas of urban planning, environmental protection and real estate management.

You can obtain an accurate, comprehensive and up-to-date picture of urban green spaces with our “Urban Green Spaces” data package.

Areas of application

Urban greenery with its positive effects on the environment and quality of life is of immense importance for sustainable urban development. Urban greenery reduces air pollution and noise, improves the urban climate and at the same time contributes to climate protection and adaptation to climate change. Green spaces and parks act as natural carbon reservoirs, regulate the city’s temperature and water balance and promote health through outdoor exercise and socializing opportunities. More green spaces make cities cooler and increase the quality of life.

Data on urban green spaces is therefore a crucial basis for both urban and real estate development.

Urban planning and urban development

  • Planning new green spaces
  • Reduction of inner-city green space deficits
  • Optimization of existing parks and gardens
  • Analysis of the accessibility of urban green spaces in different city districts
  • Planning of urban ecology projects and model projects

Real estate management

  • Assessment of quality of life based on green structures
  • Capturing and analyzing urban greenery as a value enhancement factor
  • Accessibility of green spaces as a value indicator

Environmental protection

  • Monitoring green structures as an indicator of the urban climate
  • Climate regulation, noise reduction and improvement of air quality

AI-supported green space data processor

Using machine learning methods, the operational green space processor developed by us classifies and analyzes both digital orthophotos (DOPs) and satellite images. Rule-based training data is created automatically so that classification can be carried out automatically, i.e. without manually created training data. This training data is based on ALKIS, OpenStreetMap and Sentinel-2 data. The green areas determined are then intersected with parcel boundaries and other data to enable quantification.

Scope and characteristics of the Data Package

Our data package “Urban Green Spaces” provides you with a detailed map of your urban area with a comprehensive and up-to-date picture of all urban green spaces.

The results can be provided in common geodata formats or as an OGC web service to enable easy integration into existing systems.

  • Automated capturing: Efficient and accurate capturing of green spaces without manual effort.
  • Comprehensive data analysis: By combining aerial images and satellite data, it provides detailed insights into urban vegetation.
  • Time and resource efficiency: It reduces the time and resources required for conventional data collection.

Support for your decision-making

Our data package “Urban Green Spaces” supports informed decision-making in urban planning, more effective environmental management and thus contributes to a higher quality of life in urban areas.

The up-to-date, detailed data provides our customers with a solid basis for decision-making processes in urban planning and real estate management as well as for the planning and implementation of climate protection and environmental protection measures in urban ecosystems.

Do you need green space data for your city? Talk to us!

  • Differentiation of public/private green space by intersection with official data (ALKIS)
  • Quality of the green area (grass, bush, tree) differentiable
  • Green space elements (pathways, playgrounds, parking lots, street furniture) identifiable and quantifiable.
  • Size of the green areas can be easily determined
  • Proximity and reachability analysis
  • Area capturing for budget planning
  • Large area observations possible
  • Automated change detection over time
  • Time saving
  • Cost savings
  • Digital data delivery for easy integration
Each product is customizable
Markus Eichhorn
+49 228 / 38 75 80 80