High Resolution Satellite DTMs03/09/2009 |
| GeoEye-1 stereo satellite imagery is capable of producing Digital Terrain Models (DTM) with better then 0.5m vertical accuracy. AAMHatch tasked the GeoEye-1 satellite to capture stereo data over a 270sqkm area in Eastern Australia. The application was an engineering study for the energy sector with the client requiring a 0.5m ortho-image with 2m contours. |
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GeoEye-1's unsurpassed agility and maneuverability assists in rapid stereo capture. This image was cloud-free, and delivered to AAMHatch for processing within 48 hours of capture. Survey accurate ground control points, distributed evenly across the area, were used in the image processing. These points enabled consistent accuracies to be derived throughout the project area.
In both vertical and horizontal planes, accuracy results of better then 0.5m were achieved. Contours at 2m interval are normally created from a DTM with Z accuracy of 0.6m RMS. The GeoEye-1 DTM was found to have an accuracy of 0.39m RMS, which is equivalent to a contour interval of around 1.3m. Users should note that in practice anyone can generate contours at any interval desired, however, these products may not be ‘fit for purpose'.
Read more about: imagery image processing satellite satellite imagery Website: http://www.aamhatch.com/satellite/ Supplier: AAM More news from this supplier: Australian Flood Response Geocortex Essentials 3.3 RapidEye Focus on London Flood Waters Modelling Aids Brisbane Flood Crisis Spatial Excellence Awards for AAM Virtual Brisbane Wins Queensland Award ‘Virtual Brisbane': 3D City Model AAM Associate Member Defence Force Programme Free World Cup Stadium Viewer Free Pictometry 3D Models of World Cup GMES Initial Operations (GIO) Land Monitoring Services Rugged Trimble Juno Series Olympic Planning Rerouting During Olympic Congestions Dutch Minister to Open Geospatial World Forum 2012 TatukGIS Developer Kernel 10 Upgrade Netcad Asia Convention Community Heritage Project Using GIS Visualisation Teaching Award for Russell G. Congalton ION Autonomous Snowplough Competition Winners GeoCore 2012 with Lidar API 
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