GeoEye Wins Multi-year, Multi-million Imagery Contract05/01/2012
|GeoEye, USA, is working with its Russian partner, ScanEx Research and Development Center, to provide millions of square kilometres of high-resolution satellite imagery to the Russian Federal Service for State Registration, Cadastre and Cartography (Rosreestr).|
Russia covers more than one-ninth of the Earth's land mass and spans nine time zones. To efficiently administer the property rights and data across this vast landscape and make this information accessible, Rosreestr is creating a countrywide base map of land properties in the Russian Federation. The base map will have multiple data layers including orthorectified high-resolution imagery, cadastral information (for example, type of ownership, permits, licenses, rights, restrictions, transactions and taxation) and extensive topographic features (natural features representing boundaries). The Russian government will host the completed base map on their portal for viewing by federal and regional government agencies and the public via Web services.
Olga Gershenzon, founder and vice president of ScanEx, said that currently, there are more than 49 million land parcels in the system and, on average, 12,000 users access the system each day. ScanEx is to complete this project on deadline and keep the public cadastre map data current. The country needs the best data available. That's why, to execute this project, the company is acquiring GeoEye-1 imagery as the most detailed and accurate imagery existing on the commercial market.
The first phase of the contract includes a significant delivery of GeoEye-1 archive imagery to ScanEx. In the second phase, in 2012, GeoEye will collect new imagery of Russia from its GeoEye-1 satellite.
Read more about: imagery cadastre satellite
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3D model of a real forest from airborne Lidar
The terrain was prepared from aerial ortho-image of 30 cm resolution. Lidar derived Canopy Height Model was worked at 15 cm resolution. For keeping the uniformity with Lidar derived layers, the ortho-image was used at 15 cm pixel size.