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A comprehensive, introductory text on how to use unmanned aircraft systems for data capture and analysis. It provides best practices for executing data capture UAS missions and hands-on learning modules geared toward UAS data collection, processing, and applications. Applications range from Forestry to Urban Landscapes, and other land-use studies.
List of contents
Part I: Getting Started with Drone Imagery and Data 1. Introduction to Capturing and Processing Drone Imagery and Data 2. An Introduction to Drone Remote Sensing and Photogrammetry 3. Choosing a Sensor for UAS Imagery Collection 4. Mission Planning for Capturing UAS Imagery 5. Drone Regulations: What You Need to Know before You Fly 6. Structure from Motion (SfM) Workflow for Processing Drone Imagery 7. Aerial Cinematography with UAS Part II: Hands-On Applications Using Drone Imagery and Data 8. Planning Unoccupied Aircraft Systems (UAS) Missions 9. Aligning and Stitching Drone-Captured Images 10. Counting Wildlife from Drone-Captured Imagery Using Visual and Semi-Automated Techniques 11. Terrain and Surface Modeling of Vegetation Height Using Simple Linear Regression 12. Assessing the Accuracy of Digital Surface Models of an Earthen Dam Derived from SfM Techniques 13. Estimating Forage Mass from Unmanned Aircraft Systems in Rangelands 14. Applications of UAS-Derived Terrain Data for Hydrology and Flood Hazard Modeling 15. Comparing UAS and Terrestrial Laser Scanning Methods for Change Detection in Coastal Landscapes 16. Digital Preservation of Historical Heritage Using 3D Models and Augmented Reality 17. Identifying Burial Mounds and Enclosures Using RGB and Multispectral Indices Derived from UAS Imagery 18. Detecting Scales of Drone-Based Atmospheric Measurements Using Semivariograms 19. Assessing the Greenhouse Gas Carbon Dioxide in the Atmospheric Boundary Layer
About the author
Amy E. Frazier is an Assistant Professor in the School of Geographical Sciences and Urban Planning at Arizona State University. She has over 10 years of experience in remote sensing data acquisition, processing, and analysis and has been working with UAS for the past 5 years. She holds her FAA Part 107 UAS Pilot’s license and has experience with both fixed wing and rotor aircraft. Most recently, she has been part of a multi-institutional team funded by the U.S. National Science Foundation that are developing systems and integrated sensors onboard UAS to better understand severe weather from formation through damage assessment.
Kunwar K. Singh is a Geospatial Scientist at AidData research lab and an Affiliate Faculty in the Center for Geospatial Analysis at the College of William & Mary. He has extensive experience in remote sensing data acquisition, processing, and analysis, including the application of LiDAR (light detection and ranging) and UAS to measure, map, and model landscape characteristics and resources. His research focuses on land and vegetation dynamics and their impacts on natural resources.
Summary
A comprehensive, introductory text on how to use unmanned aircraft systems for data capture and analysis. It provides best practices for executing data capture UAS missions and hands-on learning modules geared toward UAS data collection, processing, and applications. Applications range from Forestry to Urban Landscapes, and other land-use studies.
