UAV or Drones for Remote Sensing Applications in GPS/GNSS Enabled and GPS/GNSS Denied Environments
Language: English
Published by Mdpi AG, 2021
- Hardcover
- New

Seller: Rarewaves USA, HEBRON, KY, U.S.A.Rarewaves USA
AbeBooks seller since June 10, 2025
Condition: New
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Add to basketSeller Inventory # LU-9783036515908
- Title
- UAV or Drones for Remote Sensing Applications in GPS/GNSS Enabled and GPS/GNSS Denied Environments
- Author
- Felipe Gonzalez Toro, Antonios Tsourdos
- Publisher
- Mdpi AG
- Publication year
- 2021
- Condition
- New
- Binding
- Hardback
- Language
- English
- ISBN 10
- 3036515909
- ISBN 13
- 9783036515908
- Item weight
- 1,057 grams
- Dimensions
- 16.99 x 3.18 x 24.41 cm
The design of novel UAV systems and the use of UAV platforms integrated with robotic sensing and imaging techniques, as well as the development of processing workflows and the capacity of ultra-high temporal and spatial resolution data, have enabled a rapid uptake of UAVs and drones across several industries and application domains.
This book provides a forum for high-quality peer-reviewed papers that broaden awareness and understanding of single- and multiple-UAV developments for remote sensing applications, and associated developments in sensor technology, data processing and communications, and UAV system design and sensing capabilities in GPS-enabled and, more broadly, Global Navigation Satellite System (GNSS)-enabled and GPS/GNSS-denied environments.
Contributions include:
UAV-based photogrammetry, laser scanning, multispectral imaging, hyperspectral imaging, and thermal imaging;
UAV sensor applications; spatial ecology; pest detection; reef; forestry; volcanology; precision agriculture wildlife species tracking; search and rescue; target tracking; atmosphere monitoring; chemical, biological, and natural disaster phenomena; fire prevention, flood prevention; volcanic monitoring; pollution monitoring; microclimates; and land use;
Wildlife and target detection and recognition from UAV imagery using deep learning and machine learning techniques;
UAV-based change detection.
"Synopsis" may belong to another edition of this title.
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