Developments in Multidimensional Spatial Data Models

This book presents the latest research developments in geoinformation science, which includes all the sub-disciplines of the subject, such as: geomatic engineering, GIS, remote sensing, digital photogrammetry, digital cartography, etc.

List of contents

From the Contents: Medial Axis Approximation of River Networks for Catchment Area Delineation.- Representing the Dual of Objects in a Four-Dimensional GIS.- Calibration and Accuracy Assessment of Leica ScanStation C10 Terrestrial Laser Scanner.- A Methodology for Processing Raw LIDAR Data to Support Urban Flood Modelling Frameworks.- Potential of Multiscale Texture Polarization Ratio of C-band SAR for Forest Biomass Estimation.- Reliability of a High Accuracy Image-Based System for 3D Modelling of the Medial Longitudinal Arch During Gait.

Summary

This book presents the latest research developments in geoinformation science, which includes all the sub-disciplines of the subject, such as: geomatic engineering, GIS, remote sensing, digital photogrammetry, digital cartography, etc.

Product details

• Assisted by: Alias Abdul Rahman (Editor), Pawe Boguslawski (Editor), Pawel Boguslawski (Editor), Christopher Gold (Editor), Christopher Gold et al (Editor), Mohamad Nor Said (Editor)
• Publisher: Springer, Berlin
• Languages: English
• Product format: Paperback / Softback
• Released: 01.01.2016
• EAN: 9783662523896
• ISBN: 978-3-662-52389-6
• No. of pages: 249
• Dimensions: 156 mm x 236 mm x 14 mm
• Weight: 400 g
• Illustrations: X, 249 p. 161 illus., 132 illus. in color.
• Series: Lecture Notes in Geoinformation and Cartography; Lecture Notes in Geoinformation and Cartography
• Subjects: Natural sciences, medicine, IT, technology > Geosciences > Geography; B, Earth and Environmental Science, Geographical information systems & remote sensing, Geographical Information Systems/Cartography, Geographical Information System, Geographical information systems, Remote sensing, Remote Sensing/Photogrammetry, Natural disasters, Natural Hazards