| 청구기호 |
GE45.R44 |
| 형태사항 |
1 online resource (1 volume) : illustrations (colour).
|
| 언어 |
English |
| 내용 |
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
|
| 주제 |
Environmental monitoring --Technological innovations.
Drone aircraft --Environmental aspects.
Soil management --Measurement.
Stream ecology --Measurement.
|
| 보유판 및 특별호 저록 |
Print version: Unmanned aerial systems for monitoring soil, vegetation, and river systems. Amsterdam : Elsevier, 2023 9780323852838 , 1350635338
|
| ISBN |
9780323852838q(pbk.) :
0323852831
9780323852845q(electronic bk.)
032385284X |
