目次

Section I: Data Acquisition and Preprocessing 1. High-Resolution UAS Imagery in Agricultural Research: Concepts, Issues, and Research Directions 2. Building a UAV-Hyperspectral System I: UAV and Sensor Considerations 3. Building a UAV-Hyperspectral System II: Hyperspectral Sensor Considerations and Data Preprocessing 4. LiDAR and Spectral Data Integration for Coastal Wetland Assessment 5. Multiview Image Matching for 3D Earth Surface Reconstruction 6. High-Resolution Radar Data Processing and Applications Section II: Algorithms and Techniques 7. Structure from Motion Techniques for Estimating the Volume of Wood Chips 8. A Workflow to Quantify the Carbon Storage in Urban Trees Using Multispectral ALS Data 9. Suitable Spectral Mixing Space Selection for Linear Spectral Unmixing of Fine-Scale Urban Imagery 10. Segmentation Scale Selection in Geographic Object-Based Image Analysis 11. Computer Vision Methodologies for Automated Processing of Camera Trap Data: A Technological Review Section III: Case Studies and Applications 12. UAV-Based Multispectral Images for Investigating Grassland Biophysical and Biochemical Properties 13. Inversion of a Radiative Transfer Model Using Hyperspectral Data for Deriving Grassland Leaf Chlorophyll 14. Wetland Detection Using High Spatial Resolution Optical Remote Sensing Imagery 15. Geomorphic and Biophysical Characterization of Wetland Ecosystems with Airborne LiDAR: Concepts, Methods, and a Case Study 16. Fraction Vegetation Cover Extraction Using High Spatial Resolution Imagery in Karst Areas 17. Using High Spatial Resolution Imagery to Estimate Cherry Orchard Acreage in Michigan