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Picture of The Application of Airborne Lidar Data in the Modelling of 3D Urban Landscape Ecology

The Application of Airborne Lidar Data in the Modelling of 3D Urban Landscape Ecology

Author(s): Ziyue Chen

Book Description

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.

Hardback

ISBN-13: 978-1-4438-9986-4
ISBN-10: 1-4438-9986-0
Date of Publication: 01/01/2017
Pages / Size: 205 / A5
Price: £61.99
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Biography

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.