LiDAR Principles, Processing and Applications in Forest Ecology

Qinghua Guo, Yanjun Su, Tianyu Hu

• Publisher: Academic Press
• Year: 2023
• ISBN:
  9780128242117
• Topic: Technik & Maschinenbau
• Subtopic: Landwirtschaft

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, 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 instead of established software. In response, this book provides Python code examples and sample data. Sections give a brief history and introduce 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 its use in forest ecology across the world. The title contains over 15 years of research, as well as contributions from scientists 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 of research on LiDAR in forest ecology and contributions from scientists working in this field across the world

Table of contents

• Cover image
• Title page
• Table of Contents
• Copyright
• Preface
• Chapter 1. The Origin and Development of LiDAR Techniques
• Chapter 2. Working Principles of LiDAR
• Chapter 3. LiDAR Field Workflow and Systematic Error Sources
• Chapter 4. LiDAR Data Formats
• Chapter 5. Data Preprocessing and Feature Extraction
• Chapter 6. LiDAR Data Filtering and Digital Elevation Model Generation
• Chapter 7. Forest Structural Attribute Extraction
• Chapter 8. Estimation of Forest Functional Attributes
• Chapter 9. Forest Structural and Functional Attribute Upscaling Using Spaceborne LiDAR Data
• Chapter 10. LiDAR-Based Three-Dimensional Radiative Transfer Models and Applications
• Chapter 11. Visualization and Reconstruction of Forest Ecosystems
• Chapter 12. Forest Dynamics Monitoring
• Chapter 13. Applications of LiDAR in Biodiversity Conservation, Ecohydrology, and Ecological Process Modeling of Forest Ecosystems
• Chapter 14. LiDAR Applications in Other Ecosystems
• Chapter 15. Challenges and Opportunities for LiDAR
• Index