本书入选“经典中国国际出版工程”。 作为一种新兴的遥感技术，激光雷达极大地促进了生态学定量观测向三维转变并为森林生态学研究提供了全新的视角。本书从遥感与森林生态学的交叉学科视角介绍了激光雷达技术及其在森林生态学领域的应用，融合了作者团队十余年的研究成果以及全球科学家的贡献。本书系统阐述了激光雷达技术的原理，详细介绍了搭载在不同平台的激光雷达系统的数据采集与处理方式，讲解了从激光雷达数据中提取森林关键性状的前沿方法，并给出了激光雷达应用于森林生态学多个分支领域的研究实例。为帮助读者更好地理解激光雷达的原理及数据处理算法，本书还提供了详尽的Python示例代码。 随着激光雷达技术在森林生态学中得到愈发广泛的应用，本书对遥感、生态、植被、森林经理等相关领域的科研人员、高校师生和从业者具有重要的参考价值。 本书特色： ?清晰、系统地阐述了激光雷达技术的原理及其数据采集与处理方法 ?基于作者团队丰富的经验与研究案例展现了激光雷达在森林生态学领域的应用 ?详细介绍了利用激光雷达提取森林性状的前沿算法并提供配套的Python程序代码

前辅文
1. The Origin and Development of LiDAR Techniques
  1.1 Introduction and History of LiDAR
  1.2 Classification of LiDAR Hardware
  1.3 Commercial LiDAR Hardware
  1.4 LiDAR Software
  1.5 The Importance of LiDAR in Forest Ecology Applications
  1.6 Chapter Summary
  References
2. Working Principles of LiDAR
  2.1 Ranging Principle of LiDAR
  2.2 Radiation Principle of LiDAR
  2.3 Working Principle of Terrestrial LiDAR
  2.4 Working Principle of Near-Surface LiDAR
  2.5 Working Principle of Airborne LiDAR
  2.6 Working Principle of Spaceborne LiDAR
  2.7 Chapter Summary
  References
3. LiDAR Field Workflow and Systematic Error Sources
  3.1 Basic Operation of Terrestrial LiDAR
  3.2 Basic Operation of Mobile and Backpack LiDAR
  3.3 Basic Operation of Airborne and Unmanned Aerial Vehicle LiDAR
  3.4 Error Sources in LiDAR Data Collection
  3.5 Chapter Summary
  References
4. LiDAR Data Formats
  4.1 Format, Composition, and Characteristics of Point Cloud Data
  4.2 Indexing of Point Cloud Data
  4.3 Reading Point Cloud Data
  4.4 Reading Full-Waveform Data
  4.5 Chapter Summary
  References
5. Data Preprocessing and Feature Extraction
  5.1 Point Cloud Resolving
  5.2 Point Cloud Registration
  5.3 LiDAR Point Cloud Denoising
  5.4 Point Cloud Feature Extraction
  5.5 Point Cloud Classification
  5.6 Chapter Summary
  References
6. LiDAR Data Filtering and Digital Elevation Model Generation
  6.1 Introduction to LiDAR Data Filtering
  6.2 Introduction to Filtering Methods
  6.3 Accuracy Evaluation Methods
  6.4 Digital Elevation Model Generation
  6.5 Chapter Summary
  References
7. Forest Structural Attribute Extraction
  7.1 Stand-Level Structural Attribute Extraction
  7.2 Individual Tree Segmentation
  7.3 Wood-Leaf Separation
  7.4 Individual Tree- and Organ-Level Structural Attribute Extraction
  7.5 Structural Attributes Extracted Through the Fusion of Multiplatform LiDAR Data
  7.6 Chapter Summary
  References
8. Estimation of Forest Functional Attributes
  8.1 Canopy Cover and Closure
  8.2 Leaf Area Index
  8.3 Growing Stock and Biomass
  8.4 Tree Species Classification
  8.5 Chapter Summary
  References
9. Forest Structural and Functional Attribute Upscaling Using Spaceborne LiDAR Data
  9.1 Ice, Cloud, and Land Elevation Satellite and Global Ecosystem Dynamics Investigation Spaceborne LiDAR Data
  9.2 Ice, Cloud, and Land Elevation Satellite and Global Ecosystem Dynamics Investigation Data Processing and Parameter Extraction
  9.3 Ice, Cloud, and Land Elevation Satellite 2 Spaceborne LiDAR Data
  9.4 Upscaling Forest Attribute Estimations Using Spaceborne LiDAR Data
  9.5 Chapter Summary
  References
10. LiDAR-Based Three-Dimensional Radiative Transfer Models and Applications
  10.1 Principles of Three-Dimensional Radiative Transfer Models
  10.2 Voxel-Based Radiative Transfer Model
  10.3 Parameterizations of Three-Dimensional Radiative Transfer Models Using LiDAR
  10.4 Integrating Three-Dimensional Radiative Transfer Models with Other Models
  10.5 Chapter Summary
  References
11. Visualization and Reconstruction of Forest Ecosystems
  11.1 Three-Dimensional Reconstruction of Individual Trees
  11.2 Three-Dimensional Reconstruction of Forest Landscapes
  11.3 Applications of Three-Dimensional Forest Reconstruction
  11.4 Chapter Summary
  References
12. Forest Dynamics Monitoring
  12.1 Forest Growth Dynamics Monitoring
  12.2 Forest Fire Monitoring and Fire Severity Assessment
  12.3 Forest Fuel Treatment Detection
  12.4 Tree Mortality Analysis Under Environmental Stress
  12.5 Chapter Summary
  References
13. Applications of LiDAR in Biodiversity Conservation, Ecohydrology, and Ecological Process Modeling of Forest Ecosystems
  13.1 Forest Biodiversity Studies
  13.2 Forest Ecohydrology Studies
  13.3 Applications of LiDAR in Understanding Ecological Theories
  13.4 Applications of LiDAR in Forest Ecological Modeling
  13.5 Chapter Summary
  References
14. LiDAR Applications in Other Ecosystems
  14.1 Applications of LiDAR in Agricultural Ecosystems
  14.2 Applications of LiDAR in Grassland Ecosystems
  14.3 Applications of LiDAR in Urban Ecosystems
  14.4 Applications of LiDAR in Wetland Ecosystems
  14.5 Chapter Summary
  References
15. Challenges and Opportunities for LiDAR
  15.1 LiDAR Hardware Development
  15.2 From the Three-Dimensional to Multidimensional Big Data Era
  15.3 Prospects for LiDAR Applications in Forest Ecosystems
  15.4 Chapter Summary
  References
Index