Unmanned aerial systems for monitoring soil, vegetation, and river environments
Salvatore Manfreda (Editor), Ben Dor Eyal (Editor)
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
1 online resource (1 volume) : illustrations (colour).
9780323852838, 9780323852845, 0323852831, 032385284X
1365622363
Front Cover
Unmanned Aerial Systems for Monitoring Soil, Vegetation, and Riverine Environments
Copyright Page
Dedication
Contents
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
1 General introduction on the use of UAS for environmental monitoring 1 Remote sensing of the environment using unmanned aerial systems
1.1 A brief history of unmanned aerial systems
1.2 Evolution of unmanned aerial systems for monitoring of natural and agricultural ecosystems
1.2.1 Precision agriculture
1.2.2 Monitoring of natural ecosystems
1.2.3 Water bodies
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 2 Protocols for UAS-based observation
2.1 Introduction
2.2 Study design-guidance of survey preparation
2.2.1 Legislative and social impact of UAS
2.2.2 Platform and sensor option
2.2.2.1 Platforms
2.2.2.2 Sensors
2.2.3 Sensor settings and UAS control software
2.2.4 Georeferencing
2.3 Preflight fieldwork
2.3.1 Reconnaissance of the surveyed area
2.3.2 Ground control point distribution and radiometric calibration
2.3.3 Field data collection
2.4 Flight mission
2.5 Processing of aerial data
2.5.1 Geometric processing
2.5.2 Radiometric processing 2.6 Quality assurance
2.6.1 Quality assurance metrics for radiometric data
2.6.2 Quality assurance metrics application to thermal images
2.7 Summary and final remarks
References
3 Using structure-from-motion workflows for 3D mapping and remote sensing
3.1 Introduction
3.2 Structure-from-motion workflow: from 2D images to 3D dense point cloud
3.2.1 Theoretical principles
3.2.1.1 Feature detection
3.2.1.2 Feature matching and validation
3.2.1.3 Structure from motion
3.2.1.4 Georeferencing
3.2.1.5 Refinement of bundle adjustment
3.2.1.6 Dense reconstruction 3.3 Generating geospatial products from structure-from-motion-based point clouds
3.3.1 Generating digital surface model and digital terrain models
3.3.2 Generating textured 3D models
3.3.3 Generating RGB orthomosaics
3.3.4 Generating multispectral orthomosaics
3.4 Using the Metashape processing workflow in 3D mapping and remote sensing
3.4.1 Generating dense point clouds
3.4.2 Generating digital surface models, textured models, and orthomosaics
3.5 Conclusions
References
2 Vegetation monitoring