Fluvial remote sensing for science and management /

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This book offers a comprehensive overview of progress in the general area of fluvial remote sensing with a specific focus on its potential contribution to river management. The book highlights a range of challenging issues by considering a range of spatial and temporal scales with perspectives from...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Carbonneau, Patrice
Otros Autores: Piégay, Hervé
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Chichester, West Sussex ; Hoboken, NJ : John Wiley & Sons, 2012.
Colección:Advancing river restoration and management.
Temas:
Rivers > Remote sensing.
Hydrology > Remote sensing.
Hydrologie > Télédétection.
TECHNOLOGY & ENGINEERING > Hydraulics.
Hydrology > Remote sensing
Rivers > Remote sensing
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Fluvial Remote Sensing for Science and Management
  • Contents
  • Series Foreword
  • Foreword
  • List of Contributors
  • Chapter 1 Introduction: The Growing Use of Imagery in Fundamental and Applied River Sciences
  • 1.1 Introduction
  • 1.2 Remote sensing, river sciences and management
  • 1.2.1 Key concepts in remote sensing
  • 1.2.2 A short introduction to `river friendly' sensors and platforms
  • 1.2.3 Cost considerations
  • 1.3 Evolution of published work in Fluvial Remote Sensing
  • 1.3.1 Authorships and Journals
  • 1.3.2 Platforms and Sensors
  • 1.3.3 Topical Areas
  • 1.3.4 Spatial and Temporal Resolutions
  • 1.3.5 Summary
  • 1.4 Brief outline of the volume
  • References
  • Chapter 2 Management Applications of Optical Remote Sensing in the Active River Channel
  • 2.1 Introduction
  • 2.2 What can be mapped with optical imagery?
  • 2.3 Flood extent and discharge
  • 2.4 Water depth
  • 2.5 Channel change
  • 2.6 Turbidity and suspended sediment
  • 2.7 Bed sediment
  • 2.8 Biotypes (in-stream habitat units)
  • 2.9 Wood
  • 2.10 Submerged aquatic vegetation (SAV) and algae
  • 2.11 Evolving applications
  • 2.12 Management considerations common to river applications
  • 2.13 Accuracy
  • 2.14 Ethical considerations
  • 2.15 Why use optical remote sensing?
  • References
  • Chapter 3 An Introduction to the Physical Basis for Deriving River Information by Optical Remote Sensing
  • 3.1 Introduction
  • 3.2 An overview of radiative transfer in shallow stream channels
  • 3.2.1 Quantifying the light field
  • 3.2.2 Radiative transfer processes along the image chain
  • 3.3 Optical characteristics of river channels
  • 3.3.1 Reflectance from the water surface
  • 3.3.2 Optically significant constituents of the water column
  • 3.3.3 Reflectance properties of the streambed and banks.
  • 3.4 Inferring river channel attributes from remotely sensed data
  • 3.4.1 Spectrally-based bathymetric mapping via band ratios
  • 3.4.2 Relative magnitudes of the components of the at-sensor radiance signal
  • 3.4.3 The role of sensor characteristics
  • 3.5 Conclusion
  • 3.6 Notation
  • References
  • Chapter 4 Hyperspectral Imagery in Fluvial Environments
  • 4.1 Introduction
  • 4.2 The nature of hyperspectral data
  • 4.3 Advantages of hyperspectral imagery
  • 4.4 Logistical and optical limitations of hyperspectral imagery
  • 4.5 Image processing techniques
  • 4.6 Conclusions
  • Acknowledgments
  • References
  • Chapter 5 Thermal Infrared Remote Sensing of Water Temperature in Riverine Landscapes
  • 5.1 Introduction
  • 5.2 State of the art: TIR remote sensing of streams and rivers
  • 5.3 Technical background to the TIR remote sensing of water
  • 5.3.1 Remote sensing in the TIR spectrum
  • 5.3.2 The relationship between emissivity and kinetic and radiant temperature
  • 5.3.3 Using Planck's Law to determine temperature from TIR observations
  • 5.3.4 Processing of TIR image data
  • 5.3.5 Atmospheric correction
  • 5.3.6 Key points
  • 5.4 Extracting useful information from TIR images
  • 5.4.1 Calculating a representative water temperature
  • 5.4.2 Accuracy, uncertainty, and scale
  • 5.4.3 The near-bank environment
  • 5.4.4 Key points
  • 5.5 TIR imaging sensors and data sources
  • 5.5.1 Ground imaging
  • 5.5.2 Airborne imaging
  • 5.5.3 Satellite imaging
  • 5.5.4 Key points
  • 5.6 Validating TIR measurements of rivers
  • 5.6.1 Timeliness of data
  • 5.6.2 Sampling site selection
  • 5.6.3 Thermal stratification and mixing
  • 5.6.4 Measuring representative temperature
  • 5.6.5 Key points.
  • 5.7 Example 1: Illustrating the necessity of matching the spatial resolution of the TIR imaging device to river width using multi-scale observations of water temperature in the Pacific Northwest (USA)
  • 5.8 Example 2: Thermal heterogeneity in river floodplains used to assess habitat diversity
  • 5.9 Summary
  • Acknowledgements
  • 5.10 Table of abbreviations
  • References
  • Chapter 6 The Use of Radar Imagery in Riverine Flood Inundation Studies
  • 6.1 Introduction
  • 6.2 Microwave imaging of water and flooded land surfaces
  • 6.2.1 Passive radiometry
  • 6.2.2 Synthetic Aperture Radar
  • 6.2.3 SAR interferometry
  • 6.3 The use of SAR imagery to map and monitor river flooding
  • 6.3.1 Mapping river flood inundation from space
  • 6.3.2 Sources of flood and water detection errors
  • 6.3.3 Integration with flood inundation modelling
  • 6.4 Case study examples
  • 6.4.1 Fuzziness in SAR flood detection to increase confidence in flood model simulations
  • 6.4.2 Near real-time flood detection in urban and rural areas using high resolution space-borne SAR images
  • 6.4.3 Multi-temporal SAR images to inform about floodplain dynamics
  • 6.5 Summary and outlook
  • References
  • Chapter 7 Airborne LiDAR Methods Applied to Riverine Environments
  • 7.1 Introduction: LiDAR definition and history
  • 7.2 Ranging airborne LiDAR physics
  • 7.2.1 LiDAR for emergent terrestrial surfaces
  • 7.2.2 LiDAR for aquatic surfaces
  • 7.3 System parameters and capabilities: examples
  • 7.3.1 Large footprint system: HawkEye II
  • 7.3.2 Narrow footprint system: EAARL
  • 7.3.3 Airborne LiDAR capacities for fluvial monitoring: a synthesis
  • 7.4 LiDAR survey design for rivers
  • 7.4.1 Flight planning and optimising system design
  • 7.4.2 Geodetic positioning
  • 7.5 River characterisation from LiDAR signals
  • 7.5.1 Altimetry and topography.
  • 7.5.2 Prospective estimations
  • 7.6 LiDAR experiments on rivers: accuracies, limitations
  • 7.6.1 LiDAR for river morphology description: the Gardon River case study
  • 7.6.2 LiDAR and hydraulics: the Platte River experiment
  • 7.7 Conclusion and perspectives: the future for airborne LiDAR on rivers
  • References
  • Chapter 8 Hyperspatial Imagery in Riverine Environments
  • 8.1 Introduction: The Hyperspatial Perspective
  • 8.2 Hyperspatial image acquisition
  • 8.2.1 Platform considerations
  • 8.2.2 Ground-tethered devices
  • 8.2.3 Camera considerations
  • 8.2.4 Logistics and costs
  • 8.3 Issues, potential problems and plausible solutions
  • 8.3.1 Georeferencing
  • 8.3.2 Radiometric normalisation
  • 8.3.3 Shadow correction
  • 8.3.4 Image classification
  • 8.3.5 Data mining and processing
  • 8.4 From data acquisition to fluvial form and process understanding
  • 8.4.1 Feature detection with hyperspatial imagery
  • 8.4.2 Repeated surveys through time
  • 8.5 Conclusion
  • Acknowledgements
  • References
  • Chapter 9 Geosalar: Innovative Remote Sensing Methods for Spatially Continuous Mapping of Fluvial Habitat at Riverscape Scale
  • 9.1 Introduction
  • 9.2 Study area and data collection
  • 9.3 Grain size mapping
  • 9.3.1 Superficial sand detection
  • 9.3.2 Airborne grain size measurements
  • 9.3.3 Riverscape scale grain size profile and fish distribution
  • 9.3.4 Limitations of airborne grain size mapping
  • 9.3.5 Example of application of grain size maps and long profiles to salmon habitat modelling
  • 9.4 Bathymetry mapping
  • 9.5 Further developments in the wake of the Geosalar project
  • 9.5.1 Integrating fluvial remote sensing methods
  • 9.5.2 Habitat data visualisation
  • 9.5.3 Development of in-house airborne imaging capabilities
  • 9.6 Flow velocity: mapping or modelling?
  • 9.7 Future work: Integrating fish exploitation of the riverscape
  • 9.8 Conclusion
  • Acknowledgements
  • References
  • Chapter 10 Image Utilisation for the Study and Management of Riparian Vegetation: Overview and Applications
  • 10.1 Introduction
  • 10.2 Image analysis in riparian vegetation studies: what can we know?
  • 10.2.1 Mapping vegetation types and land cover
  • 10.2.2 Mapping species and individuals
  • 10.2.3 Mapping changes and historical trajectories
  • 10.2.4 Mapping other floodplain characteristics
  • 10.3 Season and scale constraints in riparian vegetation studies
  • 10.3.1 Choosing an appropriate time window for detecting vegetation types
  • 10.3.2 Minimum detectable object size in the riparian zone
  • 10.3.3 Spatial/spectral equivalence for detecting changes
  • 10.4 From scientists' tools to managers' choices: what do we want to know? And how do we get it?
  • 10.4.1 Which managers? Which objectives? Which approach?
  • 10.4.2 Limitations of image-based approaches
  • 10.5 Examples of imagery applications and potentials for riparian vegetation study
  • 10.5.1 A low-cost strategy for monitoring changes in a floodplain forest: aerial photographs
  • 10.5.2 Flow resistance and vegetation roughness parametrisation: LiDAR and multispectral imagery
  • 10.5.3 Potential radar data uses for riparian vegetation characterisation
  • 10.6 Perspectives: from images to indicators, automatised and standardised processes
  • Acknowledgements
  • References
  • Chapter 11 Biophysical Characterisation of Fluvial Corridors at Reach to Network Scales
  • 11.1 Introduction
  • 11.2 What are the raw data available for a biophysical characterisation of fluvial corridors?
  • 11.3 How can we treat the information?
  • 11.3.1 What can we see?

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