| Introduction to Pointcloudmetry: Point Clouds from Laser Scanning and Photogrammetry Contributor(s): Lemmens, Mathias (Author) |
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ISBN: 1849954798 ISBN-13: 9781849954792 Publisher: Whittles OUR PRICE: $128.25 Product Type: Hardcover Published: August 2023 |
| Additional Information |
| BISAC Categories: - Technology & Engineering | Imaging Systems - Technology & Engineering | Remote Sensing & Geographic Information Systems - Science | Earth Sciences - Geology |
| Dewey: 551.410 |
| LCCN: 2023445493 |
| Physical Information: 352 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: Normal 0 false false false EN-GB X-NONE X-NONE There is an enormous need to map cities, rivers, coasts, roads, industrial installations and infrastructure in general, and also vulnerable areas in full three dimensions. It has to be done accurately and in detail. The main technologies for detailed 3D mapping are based on imaging devices (photogrammetry) and Lidar sensors (laser scanning). These geodata acquisition technologies routinely acquire point clouds of billions of points and have matured rapidly since the mid-1990s. They have become key geodata sources for 3D city modelling, creation of digital twins and smart cities, and inspection of roads, railways, and natural features. Many GIS analysts extensively use point clouds in the form of digital elevation models. Pointcloudmetry is the specialized branch of geomatics that encompasses the acquisition and processing of point clouds captured by Lidar devices as well as point clouds derived from photogrammetric images. The technology allows accurate and detailed geo-information about earth-related objects, including the bare earth surface, to be obtained. This book covers the entire chain from the principles of geo-referencing and the basics of electromagnetic energy up to the generation of 2.5D and 3D geoinformation. The book 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. |