Introduction to Pointcloudmetry: Point Clouds from Laser Scanning and Photogrammetry

Pointcloudmetry is a specialized branch of geomatics that uses Lidar and photogrammetric images to acquire and process point clouds, providing accurate and detailed geo-information about earth-related objects. This book covers the entire chain from principles of geo-referencing to generation of 2.5D and 3D geoinformation, and is essential for acquiring competent knowledge on processing steps.

Format: Hardback
Length: 352 pages
Publication date: 13 April 2023
Publisher: Whittles Publishing

There is a significant need for comprehensive three-dimensional mapping of cities, rivers, coasts, roads, industrial installations, and infrastructure, as well as vulnerable areas. This mapping must be performed accurately and in great detail. The primary technologies employed for detailed 3D mapping are imaging devices (photogrammetry) and Lidar sensors (laser scanning). These geodata acquisition technologies have evolved rapidly since the mid-1990s, routinely capturing billions of points and generating point clouds. They have become essential sources of geodata for 3D city modelling, digital twin creation, and smart city development, as well as for the inspection of roads, railways, and natural features. Many GIS analysts extensively use point clouds in the form of digital elevation models. Pointcloudmetry is a specialized branch of geomatics that focuses on the acquisition and processing of point clouds captured by Lidar devices and point clouds derived from photogrammetric images. This technology enables the accurate and detailed acquisition of geo-information about earth-related objects, including the bare earth surface. The book covers the entire chain from the principles of geo-referencing and the basics of electromagnetic energy to the generation of 2.5D and 3D geoinformation. It provides vital knowledge about the fundamentals, idiosyncrasies, and unparalleled potential of point cloud technology and is an indispensable aid to acquiring competent knowledge on the processing steps necessary for converting raw data into high-quality 3D geo-information.

Dimension: 240 x 170 (mm)
ISBN-13: 9781849954792