LiDAR Remote Sensing and Applications

2. Auflage 2027
ISBN: 978-1-032-97547-4
Verlag: Taylor & Francis Ltd

Buch, Englisch, 344 Seiten, Format (B × H): 156 mm x 234 mm

Reihe: Remote Sensing Applications Series

LiDAR remote sensing continues to demonstrate exceptional application potential in many fields. The second edition of this bestseller with hands-on applications is substantially revised and thoroughly updated. Each chapter includes up-to-date studies and features four hands-on projects using ArcGIS Pro software package, for a total of 24 hands-on projects throughout the book. Readers can learn about LiDAR principles, data processing and analysis methods, and real-world applications of LiDAR technology in major fields such as forestry and vegetation mapping, urban environments, geosciences, and natural hazards mapping.

New in the Second Edition

- Features new and up-to-date information on LiDAR technology, data processing, analysis methods, and applications with LiDAR data from 30 study areas.

- Includes four problem-solving exercises using real data and ArcGIS Pro software in each application chapter.

- Reviews new data processing and analysis methods such as machine learning and deep learning.

- Most of the projects included are derived from the author’s field research and field studies.

This new edition is ideal for senior undergraduate and graduate students, industrial professionals, researchers and academics interested in remote sensing and GIS in the areas of geography, geosciences, forestry, ecology, environmental science, urban studies, environmental and civil engineering, and surveying engineering.

Zielgruppe

Postgraduate, Professional Practice & Development, and Undergraduate Advanced

Autoren/Hrsg.

Dong, Pinliang

Chen, Qi

Fachgebiete

• Geowissenschaften Geologie GIS, Geoinformatik
• Naturwissenschaften Agrarwissenschaften Ackerbaukunde, Pflanzenbau Forstwirtschaft, Forstwissenschaft
• Technische Wissenschaften Umwelttechnik | Umwelttechnologie Umwelttechnik
• Geowissenschaften Umweltwissenschaften Umwelttechnik

Inhaltsverzeichnis

1. Brief Overview of Remote Sensing.  2. Principles of LiDAR Remote Sensing.  3. Basics of LiDAR Data Processing.  4. LiDAR for Forest Applications.  5. LiDAR for Urban Applications.  6. LiDAR for Geoscience Applications.

Über Autor(innen)

Pinliang Dong is a Professor in the Department of Geography and the Environment, University of North Texas, Denton, TX, USA. Before joining UNT in 2004, he worked as a Senior GIS Analyst/Programmer at Titan Corporation in California, USA, and Okinawa, Japan, and a Staff Associate/GIS Specialist at the Center for International Earth Science Information Network (CIESIN), Columbia University. His research interests include remote sensing, geographic information systems, digital image analysis, and LiDAR applications in forestry, urban studies, and geosciences. He is a member of the American Association of Geographers (AAG), American Geophysical Union (AGU), and International Society for Digital Earth (ISDE).

Qi Chen is a Professor in the Department of Geography at the University of Hawaii at Manoa, Honolulu, Hawaii. He received his Ph.D. in Environmental Sciences, Policy, and Management from the University of California, Berkeley, in 2007. He joined the University of Hawaii at Manoa in 2007 and was promoted to Professor in 2017. His research is focused on how to improve the methods of information extraction from LiDAR, and to promote the use of LiDAR for assisting environmental management and decision making. He is an advisor to many master’s and doctoral students, postdocs, and has given multiple tutorial workshops on LiDAR remote sensing at international conferences organized by professional societies.