Buch, Englisch, 638 Seiten, Format (B × H): 189 mm x 246 mm, Gewicht: 1214 g
Buch, Englisch, 638 Seiten, Format (B × H): 189 mm x 246 mm, Gewicht: 1214 g
ISBN: 978-0-7506-6949-8
Verlag: CRC Press
Engineering surveying involves determining the position of natural and man-made features on or beneath the Earth’s surface and utilizing these features in the planning, design and construction of works. It is a critical part of any engineering project. Without an accurate understanding of the size, shape and nature of the site the project risks expensive and time-consuming errors or even catastrophic failure.
This fully updated sixth edition of Engineering Surveying covers all the basic principles and practice of the fundamentals such as vertical control, distance, angles and position right through to the most modern technologies.
It includes:
- An introduction to geodesy to facilitate greater understanding of satellite systems
- A fully updated chapter on GPS, GLONASS and GALILEO for satellite positioning in surveying
- All new chapter on the important subject of rigorous estimation of control coordinates
- Detailed material on mass data methods of photogrammetry and laser scanning and the role of inertial technology in them
With many worked examples and illustrations of tools and techniques, it suits students and professionals alike involved in surveying, civil, structural and mining engineering, and related areas such as geography and mapping.
Zielgruppe
Students and professionals working in the areas of surveying, civil, structural and mining engineering courses, and related areas such as geography and mapping.
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
1. Basic Concepts of Surveying 2. Error and Uncertainty 3. Vertical Control 4. Distance Measurement 5. Angle Measurement 6. Conventional Control Surveys 7. Rigorous Methods of Control 8. Position 9. Satellite Positioning 10. Curves 11. Earthworks 12. Setting Out (Dimensional Control) 13. Underground Surveying 14. Mass Data Methods Appendix: An Introduction to Matrix Algebra