Fundamentals of Capturing and Processing Drone Imagery and Data

 
 
CRC Press
  • 1. Auflage
  • |
  • erscheint ca. am 27. Juli 2021
  • |
  • 385 Seiten
 
E-Book | PDF ohne DRM | Systemvoraussetzungen
978-1-000-40195-0 (ISBN)
 

Unmanned aircraft systems (UAS) are rapidly emerging as flexible platforms for capturing imagery and other data across the sciences. Many colleges and universities are developing courses on UAS-based data acquisition. Fundamentals of Capturing and Processing Drone Imagery and Data is a comprehensive, introductory text on how to use unmanned aircraft systems for data capture and analysis. It provides best practices for planning data capture missions and hands-on learning modules geared toward UAS data collection, processing, and applications.

FEATURES

    • Lays out a step-by-step approach to identify relevant tools and methods for UAS data/image acquisition and processing

    • Provides practical hands-on knowledge with visual interpretation, well-organized and designed for a typical 16-week UAS course offered on college and university campuses

    • Suitable for all levels of readers and does not require prior knowledge of UAS, remote sensing, digital image processing, or geospatial analytics

    • Includes real-world environmental applications along with data interpretations and software used, often nonproprietary

    • Combines the expertise of a wide range of UAS researchers and practitioners across the geospatial sciences

    This book provides a general introduction to drones along with a series of hands-on exercises that students and researchers can engage with to learn to integrate drone data into real-world applications. No prior background in remote sensing, GIS, or drone knowledge is needed to use this book. Readers will learn to process different types of UAS imagery for applications (such as precision agriculture, forestry, urban landscapes) and apply this knowledge in environmental monitoring and land-use studies.

    1. Auflage
    • Englisch
    • Milton
    • |
    • Großbritannien
    Taylor & Francis Ltd
    • Für höhere Schule und Studium
    180 farbige Abbildungen, 151 farbige Fotos, 29 farbige Zeichn., 23 schwarz-weiße Tabellen
    • 302,46 MB
    978-1-000-40195-0 (9781000401950)
    weitere Ausgaben werden ermittelt
    Dr. 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.
    Dr. Kunwar K. Singh is a postdoctoral Research Fellow in the Center for Geospatial Analytics at North Carolina State University. He has several years of experience in air- and space-borne remote sensing data, and application in land-use change assessments and its impact to natural resources. He uses UAS imagery to create three-dimensional data for quantifying the structure and composition of landscapes. He practices multi-sensor data integration at broad scale to provide accurate and useful information required for diverse mapping modelling and monitoring applications

    Part I: Getting Started with Drone Imagery and Data

    1. Introduction to Capturing and Processing Drone Imagery and Data

    Amy E. Frazier and Kunwar K. Singh

    2. An Introduction to Drone Remote Sensing and Photogrammetry

    Amy E. Frazier, Travis Howell, and Kunwar K. Singh

    3. Choosing a Sensor for UAS Imagery Collection

    Angad Singh

    4. Mission Planning for Capturing UAS Imagery

    Qassim Abdullah

    5. Drone Regulations: What You Need to Know before You Fly

    Jennifer Fowler and Jaylene Naylor

    6. Structure from Motion (SfM) Workflow for Processing Drone Imagery

    Adam J. Mathews

    7. Aerial Cinematography with UAS

    Britta Ricker and Amy E. Frazier

    Part II: Hands-On Applications Using Drone Imagery and Data

    8. Planning Unoccupied Aircraft Systems (UAS) Missions

    Anthony R. Cummings, Ron Deonandan, Jacquy Gonsalves, Persaud Moses, and Arnold Norman

    9. Aligning and Stitching Drone-Captured Images

    Kunwar K. Singh, Tamika Brown, and Amy E. Frazier

    10. Counting Wildlife from Drone-Captured Imagery Using Visual and Semi-Automated Techniques

    Kunwar K. Singh, Katherine Markham, Amy E. Frazier, and Jarrod C. Hodgson

    11. Terrain and Surface Modeling of Vegetation Height Using Simple Linear Regression

    Jennifer L.R. Jensen and Adam J. Mathews

    12. Assessing the Accuracy of Digital Surface Models of an Earthen Dam Derived from SfM Techniques

    Gil Gonçalves, José Juan Arranz Justel, Sorin Herban, Petr Dvorak, and Salvatore Manfreda

    13. Estimating Forage Mass from Unmanned Aircraft Systems in Rangelands

    Humberto L. Perotto-Baldivieso, Michael T. Page, Alexandria M. DiMaggio, Jose de la Luz Martinez, and J. Alfonso Ortega-S.

    14. Applications of UAS-Derived Terrain Data for Hydrology and Flood Hazard Modeling

    Wing H. Cheung and Jochen E. Schubert

    15. Comparing UAS and Terrestrial Laser Scanning Methods for Change Detection in Coastal Landscapes

    Ian J. Walker, Craig Turner, and Zach Hilgendorf

    16. Digital Preservation of Historical Heritage Using 3D Models and Augmented Reality

    Sergio Bernardes and Marguerite Madden

    17. Identifying Burial Mounds and Enclosures Using RGB and Multispectral Indices Derived from UAS Imagery

    Agnes Schneider, Sebastian Richter, and Christoph Reudenbach

    18. Detecting Scales of Drone-Based Atmospheric Measurements Using Semivariograms

    Amy E. Frazier and Benjamin L. Hemingway

    19. Assessing the Greenhouse Gas Carbon Dioxide in the Atmospheric Boundary Layer

    Elinor Martin, Elizabeth Pillar-Little, and Gustavo Britto Hupsel de Azevedo

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