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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
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Details
Subject(s)
Fresh water
—
Remote sensing
[Browse]
Water quality
—
Measurement
—
Remote sensing
[Browse]
Hydrology
—
Remote sensing
[Browse]
Editor
Mishra, Deepak R. (Deepak Ranjan)
[Browse]
Ogashawara, Igor
[Browse]
Gitelson, Anatoly A.
[Browse]
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.
Show 104 more Contents items
ISBN
9780128046449 ((pbk.))
0128046449 ((pbk.))
LCCN
2016961541
OCLC
960238895
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