Compared with traditional remote sensing technologies, airborne Lidar data can provide researchers with additional 3D positional information, which is a key factor for advanced urban research, and particularly that of urban landscape ecology. Therefore, the need for applying Lidar data to a variety of disciplines is rapidly growing. However, the lack of remote sensing background makes the wider use of Lidar data highly difficult for scholars from other disciplines.In contrast to the majority of Lidar-related books that focus on sophisticated principles and general applications of Lidar data, this book provides the reader with a feasible framework for applying airborne Lidar data to urban research. In addition to providing a general introduction to the subject, this book explains in detail a series of case studies to demonstrate how these theoretical models can be employed to address practical urban issues.As such, this book not only provides Lidar scholars with a series of specifically designed research methods, but will also serve to inspire scholars from other disciplines, such as geographers, urban planners, ecologists, and decision-makers, with a complete framework of potential application fields.
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Compared with traditional remote sensing technologies, airborne Lidar data can provide researchers with additional 3D positional information, which is a key factor for advanced urban research, and particularly that of urban landscape ecology. Therefore, the need for applying Lidar data to a variety of disciplines is rapidly growing.
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Produktdetaljer

ISBN
9781443899864
Publisert
2016-11-10
Utgiver
Vendor
Cambridge Scholars Publishing
Høyde
212 mm
Bredde
148 mm
Aldersnivå
UP, P, 05, 06
Språk
Product language
Engelsk
Format
Product format
Innbundet
Antall sider
205

Forfatter

Biographical note

Ziyue Chen currently works at the College of Global Change and Earth System Science at Beijing Normal University, China, having received his PhD from the Department of Geography of the University of Cambridge, UK. His main research focuses on the processing and application of remote sensing and airborne Lidar data, GIS and spatial data analysis, with a special interest in the applications of GIS methods and RS sources for better understanding the spatio-temporal variations of urban airborne pollutants in China.