Abstract
Topographic databases maintained by national mapping agencies are currently the most common nationwide data sets in geo-information. The application of laser scanning as source data for surveying is increasing. Along with this development, several analysis methods that utilize dense point clouds have been introduced. We present the concept of producing a dense nationwide point cloud, produced from multiple sensors and containing multispectral information, as the national core data for geo-information. Geo-information products, such as digital terrain and elevation models and 3D building models, are produced automatically from these data. We outline the data acquisition, processing, and application of the point cloud. As a national data set, a dense multispectral point cloud could produce significant cost savings via improved automation in mapping and a reduction of overlapping surveying efforts.
Highlights
Until today, the most extensive and accurate nationwide data sets have been maintained by national mapping agencies
We present the concept of producing a dense nationwide point cloud, originating from multiple sensors and containing multispectral information, operating as the core data for geo-information
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Summary
The most extensive and accurate nationwide data sets have been maintained by national mapping agencies. The most common input data for production and updating of a topographic database is aerial imagery, but airborne laser scanning (ALS) is increasingly used. In addition to LS, point clouds can be obtained with stereophotogrammetry, depth camera based techniques [9], or synthetic aperture radar (SAR) [10]. With the development of measuring technology, applications, and utilization methods, point clouds become source data for an increasing number of applications and processes. Their wider application and acquisition has been suggested by several authors, especially using airborne sensors [27,28]. Geo-information products, such as digital terrain and elevation models and 3D building models, are produced automatically as needed
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