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.
1. LiDAR Principles, Processing and Applications in Forest Ecology - p. iii 2. Cover - p. iii 3. Title Page - p. iii 4. Copyright Page - p. iv 5. Table of Contents - p. iv 6. Preface - p. ix 7. Chapter 1 The Origin and Development of LiDAR Techniques - p. 1 8. Chapter 2 Working Principles of LiDAR - p. 23 9. Chapter 3 LiDAR Field Workflow and Systematic Error Sources - p. 63 10. Chapter 4 LiDAR Data Formats - p. 89 11. Chapter 5 Data Preprocessing and Feature Extraction - p. 117 12. Chapter 6 LiDAR Data Filtering and Digital Elevation Model Generation - p. 171 13. Chapter 7 Forest Structural Attribute Extraction - p. 215 14. Chapter 8 Estimation of Forest Functional Attributes - p. 267 15. Chapter 9 Forest Structural and Functional Attribute Upscaling Using Spaceborne LiDAR Data - p. 293 16. Chapter 10 LiDAR-Based Three-Dimensional Radiative Transfer Models and Applications - p. 343 17. Chapter 11 Visualization and Reconstruction of Forest Ecosystems - p. 363 18. Chapter 12 Forest Dynamics Monitoring - p. 379 19. Chapter 13 Applications of LiDAR in Biodiversity Conservation, Ecohydrology, and Ecological Process Modeling of Forest Ecosystems - p. 407 20. Chapter 14 LiDAR Applications in Other Ecosystems - p. 443 21. Chapter 15 Challenges and Opportunities for LiDAR - p. 469 22. Index - p. 481
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.
1. LiDAR Principles, Processing and Applications in Forest Ecology - p. iii 2. Cover - p. iii 3. Title Page - p. iii 4. Copyright Page - p. iv 5. Table of Contents - p. iv 6. Preface - p. ix 7. Chapter 1 The Origin and Development of LiDAR Techniques - p. 1 8. Chapter 2 Working Principles of LiDAR - p. 23 9. Chapter 3 LiDAR Field Workflow and Systematic Error Sources - p. 63 10. Chapter 4 LiDAR Data Formats - p. 89 11. Chapter 5 Data Preprocessing and Feature Extraction - p. 117 12. Chapter 6 LiDAR Data Filtering and Digital Elevation Model Generation - p. 171 13. Chapter 7 Forest Structural Attribute Extraction - p. 215 14. Chapter 8 Estimation of Forest Functional Attributes - p. 267 15. Chapter 9 Forest Structural and Functional Attribute Upscaling Using Spaceborne LiDAR Data - p. 293 16. Chapter 10 LiDAR-Based Three-Dimensional Radiative Transfer Models and Applications - p. 343 17. Chapter 11 Visualization and Reconstruction of Forest Ecosystems - p. 363 18. Chapter 12 Forest Dynamics Monitoring - p. 379 19. Chapter 13 Applications of LiDAR in Biodiversity Conservation, Ecohydrology, and Ecological Process Modeling of Forest Ecosystems - p. 407 20. Chapter 14 LiDAR Applications in Other Ecosystems - p. 443 21. Chapter 15 Challenges and Opportunities for LiDAR - p. 469 22. Index - p. 481
