LiDAR Principles, Processing and Applications in Forest Ecology

Light detection and ranging (LiDAR) technology is an emerging active remote sensing technology, offering a three-dimensional (3D) view for ecology studies. LiDAR allows terrain information and vegetation structure to be quantified in forest ecology, and in the next half-decade, will form an important part of forest ecology studies and forest management. LiDAR Principles, Processing and Applications in Forest Ecology introduces the principles of LiDAR technology and explains how to collect and process LiDAR data from different platforms, based on real-world experience. The book provides state-of the-art algorithms on how to extract forest parameters from LiDAR, and explains how to use them in forest ecology. It gives an interdisciplinary view of LiDAR, from the perspective of remote sensing and forest ecology. Because LiDAR is still rapidly developing, researchers must use programming languages to understand and process LiDAR data, rather than established software. In response, this book provides Python code examples and sample data. The title contains over 15 years of research, as well as contributions from scientists across the world. It gives a brief history and introduces the principles of LiDAR, as well as three commonly seen LiDAR platforms. The book lays out step-by-step coverage of LiDAR data processing and forest structure parameter extraction, complete with Python examples. Given the increasing usefulness of LiDAR in forest ecology, this volume represents an important resource for researchers, students and forest managers to better understand LiDAR technology and use it in forest ecology across the world. Presents LiDAR applications for forest ecology based in real-world experience Lays out the principles of LiDAR technology in forest ecology in a systematic and clear way Provides readers with state-of the-art algorithms on how to extract forest parameters from LiDAR Offers Python code examples and sample data to assist researchers in understanding and processing LiDAR data Contains over 15 years' research on LiDAR in forest ecology and contributions from scientists working in this field across the world INDICE: 1. The Origin and Development of LiDAR Active Remote Sensing Technology2. Working principle of LiDAR 2.1 Ranging principle of LiDAR3. Field work flow and system error source of LiDAR4. LiDAR data format5. LiDAR data filtering and digital elevation model generation6. Data Analysis and Feature Extraction of Terrestrial LiDAR7. Data Analysis and Feature Extraction of Airborne LiDAR8. Data Analysis and Feature Extraction of Spaceborne LiDAR9. Forest Structural Parameters Extraction10. Ecosystem Function Parameters Inversion and Large-scale Simulation11. Applications of LiDAR in dynamic monitoring of forest ecosystem12. Applications of LiDAR technology in forest biodiversity, hydrology, and ecological models13. 3D visualization and reconstruction of vegetation based on LiDAR technology14. Emerging and ecological application of the near-surface LiDAR platform15. Challenges and applications of LiDAR

• ISBN: 978-0-12-823894-3
• Editorial: Academic Press
• Encuadernacion: Rústica
• Páginas: 450
• Fecha Publicación: 01/11/2022
• Nº Volúmenes: 1
• Idioma: Inglés