Bio-optical modelling and remote sensing of inland waters / edited by Deepak R. Mishra, Igor Ogashawara, Anatoly A. Gitelson.

Format
Book
Language
English
Published/​Created
  • Amsterdam, Netherlands : Elsevier, [2017]
  • ©2017
Description
xv, 316 pages : illustrations ; 23 cm

Availability

Copies in the Library

Location Call Number Status Location Service Notes
Engineering Library - Stacks TD353 .B496 2017 Browse related items Request

    Details

    Subject(s)
    Editor
    Summary note
    An overview and analysis of the current status and future of space-based remote sensing in monitoring inland water quality, Presents comprehensive chapters that each target a different optically active constituent in inland waters, Investigates the applications of radiative transfer theories to inland aquatic environments, Presents applications of bio-optical modeling useful for graduate students, researchers, professionals, and government agencies, Bio-optical Modeling and Remote Sensing of Inland Waters presents the latest developments, State-of-the-art, and future perspectives of bio-optical modeling for each optically active constituent in inland waters, providing a broad range of applications of water quality monitoring using remote sensing. The book explores the applications of radiative transfer theories in bio-optical modeling of inland waters, and new possibilities for making bio-optical models operational. Bio-optical Modeling and Remote Sensing of Inland Waters begins with a description of the importance of monitoring inland waters, an introduction of the concepts of bio-optical modeling, and the classification of bio-optical models. It elaborates on the existing bio-optical models for each optically active constituent found in inland waters and summarizes the content of subsequent chapters. Later chapters target specific optically active constituents and present in-depth discussion about the current status and future direction of bio-optical modeling for the constituent. Book jacket.
    Bibliographic references
    Includes bibliographical references and index.
    Contents
    • Remote Sensing of Inland Waters: Background and Current State-of-the-Art / Igor Ogashawara, Deepak R. Mishra, Anatoly A. Gitelson
    • Inland Waters
    • Remote Sensing of Inland Waters
    • Fundamental Bio-optical Properties
    • Bio-optical Models
    • Classification of Bio-optical Models
    • Performance of Bio-optical Models
    • Book Content
    • References
    • Radiative Transfer Theory for Inland Waters / Peter Gege
    • Introduction
    • Basic Principles
    • Interaction of Light with Matter
    • Radiometric Quantities
    • Radiative Transfer Equation
    • Inherent Optical Properties
    • From Microscopic to Macroscopic Material Parameters
    • Water Composition
    • Apparent Optical Properties
    • AOP Models
    • Light Field Models
    • Incident Radiation
    • Water Surface Effects
    • Underwater Light Field
    • Fluorescence
    • Polarization
    • Conclusions
    • Acknowledgments
    • Atmospheric Correction for Inland Waters / Wesley J. Moses, Sindy Sterckx, Marcos J. Montes, Liesbeth De Keukelaere, Els Knaeps
    • Challenges
    • Challenges Due to Physical and Bio-optical Properties
    • Challenges Due to Difficulties in Atmospheric Modeling
    • Existing Algorithms
    • Atmostpheric Correction Algorithms
    • Adjacency Correction Algorithms
    • Case Study: Combined Atmospheric and Adjacency Correction
    • Conclusion
    • Bio-optical Modeling of Colored Dissolved Organic Matter / Tiit Kutser, Sampsa Koponen, Kari Y. Kallio, Tonio Fincke, Birgot Paavel
    • Carbon in Inland Waters
    • Optical Properties of CDOM
    • Remote Sensing of CDOM
    • CDOM Retrieval With Bio-optical Models
    • Final Considerations
    • Bio-optical Modeling of Total Suspended Solids / Claudia Giardino, Mariano Bresciani, Federica Braga, Ilaria Cazzaniga, Liesbeth De Keukelaere, Els Knaeps, Vittorio E. Brando
    • Optical Properties of Particles
    • Relationship between IOPs and TSS
    • Remote Sensing Algorithms for TSS
    • Case Studies
    • MERIS time-series-Lake Garda
    • Airborne Imaging Spectrometry-Mantua lakes
    • Multitemporal OLI Data-Po River
    • Further Reading
    • Bio-optical Modeling of Phytoplankton Chlorophll-a / Mark W. Matthews
    • Chlorophyll-a: The Fundamental Measure of Phytoplankton Biomass and Production
    • Optical Pathways to Estimate Phytoplankton Chlorophyll-a
    • Phytoplankton Absorption
    • Phytoplankton Fluorescence
    • Phytoplankton Scattering
    • Bio-optical Modeling of Sun-Induced Chlorophyll-a Fluorescence / Alexander A. Gilerson, Yannick Huot
    • Introduction, Basic Concepts, and Current Knowledge
    • Modeling of Reflectance Spectra with Fluorescence
    • Remote Sensing Reflectance
    • Elastic Reflectance
    • Fluorescence Reflectance
    • Inherent Optical Properties and Attenuation Coefficients
    • Relationships Between the Fluorescence Magnitude and the Concentrations of Chlorophyll and Other Water Constituents
    • Simplified Fluorescence Model-Comparison with Field Measurements
    • Retrieval of the Fluorescence Component from Reflectance Spectra
    • Combined Retrieval of the Fluorescence and Water Constituents
    • Fluorescence Line Height Algorithms and Their Limitations
    • Performance of Fluorescence Algorithms with Satellite Data
    • Retrieval of the Fluorescence Component from Polarimetric Hyperspectral Observations
    • Application of SICF to the Detection of Algal Blooms
    • Summary
    • Bio-optical Modeling of Phycocyanin / Linhai Li, Kaishan Song
    • Theoretical Basis for Remote Sensing of Phycocyanin
    • Literature Review of Remote Sensing Algorithms of Phycocyanin
    • Empirical Algorithms
    • Semi-empirical Algorithms
    • SEmi-analytical Algorithms
    • Evaluation of Representative Algorithms Using a Large Field Dataset
    • Description of the Field Dataset
    • Evaluation of the Estimation Accuracy
    • Evaluation of a Band Ratio Algorithm
    • Evaluation of Semi-analytical Models
    • Evaluation of Two Baseline Algorithms Using AOP and IOP
    • Discussion of Factors Influencing the Remote Estimation of Phycocyanin
    • Mapping PC Using Airborne Images
    • Summary and Future Work
    • Acknowledgements
    • Bio-optical Modeling and Remote Sensing of Aquatic Macrophytes / Tim J. Malthus
    • Spectral Characteristics of Aquatic Macrophytes
    • Application of Remote Sensing Systems
    • Discrimination and Classification
    • Determination of Macrophyte Biophysical Properties
    • Use of Indices
    • Bio-optical Modeling of Aquatic Macrophytes
    • Descussion and Priorities for Further Research
    • In Situ Measurement of Spectral Signatures
    • Signature Analysis
    • Bio-optical Modeling
    • Relationships with Biophysical Properties
    • Inversion Algorithms
    • Assessment of Remote Sensing Platforms
    • Regional Assessment/Global Monitoring
    • Role in Management
    • References.
    ISBN
    • 9780128046449 ((pbk.))
    • 0128046449 ((pbk.))
    LCCN
    2016961541
    OCLC
    960238895
    Statement on language in description
    Princeton University Library aims to describe library materials in a manner that is respectful to the individuals and communities who create, use, and are represented in the collections we manage. Read more...
    Other views
    Staff view

    Supplementary Information