A digital surface model with Earth and object heights: a basis for 3D modelling of cities, navigation and risk analysis.
What the service is used for
What you will receive as a result of the work
Digital surface model (DSM)
- a digital surface model (DSM) for the area of interest
- heights of the Earth's surface together with objects on it
- a basis for 3D modelling of the territory
Source data for a DSM
- an agreed set of source data for the task
- stereo remote sensing materials for the DSM and orthophotomaps
- use of a laser-scanning point cloud, if available
3D model of the city and buildings
- building outlines from the orthoimage and topographic map
- photorealistic building models if ground photographs are available
- integration of facades and landscape objects into the city model
Planning, analysis and modelling
- a surface model for the selected applied task
- data for visualisation and modelling of the territory
- a basis for risk maps and placement of infrastructure facilities
How the work goes
Cost and timeline
- a technical description of the territory and the task is needed for a quote
- consultation and development of the terms of reference for a customised DSM
The cost of DSM generation is calculated individually
For a quote — a technical description of the area of interest
Consultation and ToR for a customised DSM
What is needed for a quote
- a technical description of the area of interest and the task (planning, analysis, visualisation, modelling, 3D city)
- which source data are available: topographic map, stereo remote sensing materials, laser-scanning point cloud, orthoimage
- whether satellite imagery, aerial survey or both sources are needed
- whether a photorealistic 3D model of buildings is needed (ground photographs from several viewpoints)
- additional model objects: facades, trees, lamp posts, signs and other landscape elements
If the terms of reference are not ready yet, describing the territory and the DSM purpose is enough — specialists will draft the ToR for a customised model.
Describe the area of interest in simple words — we will clarify the source data composition and the estimate.
Why Innoter
Data sources and ways to build a DSM
A digital surface model (DSM) is a three-dimensional representation of Earth's surface heights, including natural or anthropogenic objects located on it.
GEO Innoter creates DSMs from satellite or aerial survey materials and uses the model for 3D modelling of cities and other terrain objects.
The following are used to create a DSM and 3D modelling:
- a topographic map — coordinate and height information on relief, buildings and structures, roads, rivers, land-use contours, administrative boundaries;
- remote sensing materials acquired in stereo mode — for creating the DSM and orthophotomaps;
- a point cloud obtained by laser scanning.
The orthoimage and topographic map are used to obtain building outlines.
A digital model of the Earth's surface is obtained automatically:
- from stereoscopic satellite images;
- from stereoscopic digital aerial photographs of various resolutions.
Manual 3D processing of aerial photographs takes a long time, so automatic or semi-automatic methods have been developed.
An image-matching approach has been developed to generate a DSM and extract features from high-resolution satellite images. In principle it applies to any type of linear-array images.
Ground photographs of each individual building from several viewpoints are required to build a photorealistic 3D model of buildings.
The final 3D model development process is the integration of the source city model with photorealistic building models, additional facades and additional accessories (landscape objects): trees, a lamp post, a sign, etc.
A digital surface model is used for planning, analysis, visualisation and modelling, including:
- in settlements — urban planning, architectural design, tourism, virtual tours;
- in navigation systems;
- in intelligent transport systems;
- when forecasting urban risks;
- in telecommunications — positioning of mobile phone transmitters;
- when compiling flood risk maps.