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Unmanned Aerial Systems for Monitoring Soil, Vegetation, and Riverine Environments
1st Edition - January 18, 2023
Editors: Salvatore Manfreda, Ben Dor Eyal
Paperback ISBN:9780323852838
9 7 8 - 0 - 3 2 3 - 8 5 2 8 3 - 8
eBook ISBN:9780323852845
9 7 8 - 0 - 3 2 3 - 8 5 2 8 4 - 5
Unmanned Aerial Systems for Monitoring Soil, Vegetation, and Riverine Environments provides an overview of how unmanned aerial systems have revolutionized our capability to… Read more
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Unmanned Aerial Systems for Monitoring Soil, Vegetation, and Riverine Environments provides an overview of how unmanned aerial systems have revolutionized our capability to monitor river systems, soil characteristics, and related processes at unparalleled spatio-temporal resolutions. This capability has enabled enhancements in our capacity to describe water cycle and hydrological processes. The book includes guidelines, technical advice, and practical experience to support practitioners and scientists in increasing the efficiency of monitoring with the help of UAS. The book contains field survey datasets to use as practical exercises, allowing proposed techniques and methods to be applied to real world case studies.
Includes a summary of technical UAS issues allowing readers to focus on how the exact technology fits their scientific question
Provides specific applications enabling readers to understand the benefits and threats within the field
Includes a comprehensive literature review in each chapter, allowing readers to know the key players and research in the field
Environmental Science and remote sensing education, including (but not limited to) soil, water, and vegetation; They will find in one book most of the required steps to apply UAS technology for their present and future needs with regards to efficient monitoring and analysis of environment
Cover Image
Title page
Table of Contents
Copyright
Dedication
List of contributors
List of abbreviations
Introduction
1 Preface
2 Section 1 on general introduction on the use of unmanned aerial system for environmental monitoring
3 Section 2 on vegetation monitoring
4 Section 3 on soil mapping
5 Section 4 on river monitoring
6 Section 5 on tools and datasets
References
Section 1: General introduction on the use of UAS for environmental monitoring
Chapter 1. Remote sensing of the environment using unmanned aerial systems
Abstract
1.1 A brief history of unmanned aerial systems
1.2 Evolution of unmanned aerial systems for monitoring of natural and agricultural ecosystems
1.3 The social impact
1.4 Unmanned aerial system platforms
1.5 Unmanned aerial system sensors
1.6 Economic impact and regulations
1.7 Final remarks and challenges
1.8 Notes on the existing challenges and the purpose of this book
1.9 Epilogue
References
Chapter 2. Protocols for UAS-based observation
Abstract
2.1 Introduction
2.2 Study design–guidance of survey preparation
2.3 Preflight fieldwork
2.4 Flight mission
2.5 Processing of aerial data
2.6 Quality assurance
2.7 Summary and final remarks
References
Chapter 3. Using structure-from-motion workflows for 3D mapping and remote sensing
Abstract
3.1 Introduction
3.2 Structure-from-motion workflow: from 2D images to 3D dense point cloud
3.3 Generating geospatial products from structure-from-motion–based point clouds
3.4 Using the Metashape processing workflow in 3D mapping and remote sensing
3.5 Conclusions
References
Section 2: Vegetation monitoring
Chapter 4. Vegetation mapping and monitoring by unmanned aerial systems (UAS)—current state and perspectives
Abstract
4.1 Introduction
4.2 Methods
4.3 Vegetation mapping and monitoring, examples of the best practices
4.4 Challenges and perspectives
Acknowledgments
References
Chapter 5. Monitoring agricultural ecosystems
Abstract
5.1 Introduction
5.2 Case study 1: multispectral unmanned aerial system–based mapping of tree crop structure and condition
5.3 Case study 2: multispectral and thermal unmanned aerial system–based mapping of vegetation stress
6.3 Soil transfer models—from pedotransfer to spectral transfer functions
6.4 Variability of soil parameters and spatial analysis
6.5 Summary and future perspectives
Acknowledgments
References
Further reading
Chapter 7. Soil moisture monitoring using unmanned aerial system
Abstract
7.1 Introduction
7.2 Theoretical background of soil moisture retrieval and downscaling methods
7.3 Data acquisition and preprocessing
7.4 Soil moisture data retrieval and downscaling
7.5 Soil moisture downscaling using random forest regression model
7.6 Discussion and conclusions
Acknowledgments
References
Section 4: River Monitoring
Chapter 8. Geometric correction and stabilization of images collected by UASs in river monitoring
Abstract
8.1 Geometric distortion of images
8.2 Orthorectification
8.3 Image stabilization
8.4 Advices and good practices
References
Chapter 9. River flow monitoring with unmanned aerial system
Abstract
9.1 Introduction
9.2 General workflow of river flow monitoring with UAS
9.3 Best practices of data acquisition
9.4 Data preprocessing
9.5 Data processing
9.6 Data postprocessing
9.7 Validation of image velocimetry results
9.8 Limitations of image velocimetry methods and future perspectives
9.9 Hands-on experience
Appendix A
Appendix B
References
Chapter 10. Monitoring river channel dynamics by Unmanned Aerial Systems
Abstract
10.1 Introduction
10.2 General needs and limitations
10.3 Monitoring of channel dynamics by unmanned aerial systems
10.4 Estimation of the grain-size distribution of gravels based on unmanned aerial system imagery
10.5 Monitoring of channel bathymetry of clearwater streams by unmanned aerial systems
10.6 Conclusion
Acknowledgement
References
Section 5: Tools and datasets
Chapter 11. Tools and datasets for unmanned aerial system applications
Abstract
11.1 Unmanned aerial system monitoring in practice: procedures, software, and tools
11.2 Datasets
11.3 Merging multisource data
11.4 Conclusions
References
Appendix A. Glossary
A 1 Category. Platforms and equipment
A 2 Software
A 3 Unmanned aerial system–based outputs
Appendix B. Checklist before flying
Appendix C. Survey description
Appendix D. List of the available databases and tools
Index
No. of pages: 346
Language: English
Published: January 18, 2023
Imprint: Elsevier
Paperback ISBN: 9780323852838
eBook ISBN: 9780323852845
SM
Salvatore Manfreda
Salvatore Manfreda is Full Professor of Water Management and Hydrology at the University of Naples Federico II, Chair of the COST Action Harmonious and Scientific Coordinator of the Flood Forecasting System of the Civil Protection of the Basilicata Region. He has broad interest on distributed modeling, flood prediction, stochastic processes in hydrology, soil moisture process, delineation of flood prone areas, vegetation patterns and UAS-based monitoring.
Affiliations and expertise
Full Professor of Water Management and Hydrology at the University of Naples Federico II
BE
Ben Dor Eyal
Eyal Ben-Dor is a full professor at the Tel Aviv University (TAU) and was the chair of the Geography and Human Environment Department at Tel-Aviv University from 2005-2009 and again from 2012-2015. Currently he is serving as the head of the remote sensing laboratory (RSL) within this department and a GEO principle of Israel under the Israel Space Agency appointment and mandate. He has more than 24 years’ experience in remote sensing of the Earth, with special emphasis on the Hyperspectral Remote Sensing technology (HRS) and soil spectroscopy.
Affiliations and expertise
Professor, Tel Aviv University (TAU), Tel Aviv, Israel