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; exercises in chapters 8 through 19 have support materials for free download.

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.

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.

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