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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
- Language: English
- Paperback ISBN:9 7 8 - 0 - 3 2 3 - 8 5 2 8 3 - 8
- eBook ISBN: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 monito… Read more
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Request a sales quoteUnmanned 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
- 5.4 General discussion
- 5.5 Summary
- References
- Section 3: Soil Mapping
- Chapter 6. Mapping soil properties for unmanned aerial system–based environmental monitoring
- Abstract
- 6.1 Overview
- 6.2 Sampling and determining soil characteristics
- 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
- Edition: 1
- 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 IIBE
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, IsraelRead Unmanned Aerial Systems for Monitoring Soil, Vegetation, and Riverine Environments on ScienceDirect