LiDAR Remote Sensing and Applications Remote Sensing Applications Series
Auteurs : Dong Pinliang, Chen Qi
Ideal for both undergraduate and graduate students in the fields of geography, forestry, ecology, geographic information science, remote sensing, and photogrammetric engineering, LiDAR Remote Sensing and Applications expertly joins LiDAR principles, data processing basics, applications, and hands-on practices in one comprehensive source.
The LiDAR data within this book is collected from 27 areas in the United States, Brazil, Canada, Ghana, and Haiti and includes 183 figures created to introduce the concepts, methods, and applications in a clear context. It provides 11 step-by-step projects predominately based on Esri?s ArcGIS software to support seamless integration of LiDAR products and other GIS data. The first six projects are for basic LiDAR data visualization and processing and the other five cover more advanced topics: from mapping gaps in mangrove forests in Everglades National Park, Florida to generating trend surfaces for rock layers in Raplee Ridge, Utah.
Features
- Offers a comprehensive overview of LiDAR technology with numerous applications in geography, forestry and earth science
- Gives necessary theoretical foundations from all pertinent subject matter areas
- Uses case studies and best practices to point readers to tools and resources
- Provides a synthesis of ongoing research in the area of LiDAR remote sensing technology
- Includes carefully selected illustrations and data from the authors' research projects
- Before every project in the book, a link is provided for users to download data
Brief Overview of Remote Sensing. Principles of LiDAR Remote Sensing. Basics of LiDAR Data Processing. LiDAR for Forest Applications. LiDAR for Urban Applications. LiDAR for Geoscience Applications.
Dr. Pinliang Dong is a Professor in the Department of Geography and the Environment, University of North Texas (UNT), Denton, TX, USA. He received his B.Sc. in geology from Peking University, China in 1987, M.Sc. in cartography and remote sensing from the Institute of Remote Sensing Applications, Chinese Academy of Sciences in 1990, and Ph.D. in geology from the University of New Brunswick, Canada in 2003. 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 (GIS), digital image analysis, and LiDAR applications in forestry, urban studies, and geosciences. He has taught Intermediate GIS, Advanced GIS, Advanced GIS Programming, Remote Sensing, Special Topics in GIS: LiDAR Applications, and China Field School; mentored over 30 Master’s and doctoral students and two post-doctoral fellows; and hosted over 15 international visiting scholars. He is a member of the American Association of Geographers (AAG), American Geophysical Union (AGU), and International Society for Digital Earth (ISDE).
Dr. Qi Chen is a Professor in the Department of Geography at the University of Hawaii at Mānoa, Honolulu, Hawaii, USA. He received his B.Sc. and M.Sc. in Geography in 1998 and 2001, respectively, from Nanjing University, China, and Ph.D. in Environmental Sciences, Policy, and Management from the University of California, Berkeley, USA in 2007. He joined the University of Hawaii at Mānoa as a tenure-track Assistant Professor in 2007, was tenured and promoted to Associate Professor in 2012, and was promoted to Professor in 2017. His early interest and research in LiDAR remote sensing during his Ph.D. study were to develop effective methods for LiDAR data processing and information extractio
Date de parution : 12-2017
17.8x25.4 cm
Date de parution : 12-2017
17.8x25.4 cm
Thèmes de LiDAR Remote Sensing and Applications :
Mots-clés :
LiDAR Data; data; LiDAR Point; point; LiDAR Point Cloud; cloud; LiDAR Metric; binary; Small Area Population Estimation; raster; Marker Controlled Watershed Segmentation; airborne; La File; Qi Chen; La Format; Bare Earth Digital Elevation Models; LiDAR Intensity Image; Full Waveform LiDAR Data; IDW Interpolation; LiDAR Analysis; RANSAC Method; Airborne LiDAR; LiDAR Remote Sensing; LiDAR System; DEM Layer; Chm; Non-ground Returns; Snow Depth Distribution; LiDAR Data Processing; Road Extraction; Terrain Dataset; DEM Raster