Actions for Bio-optical modelling and remote sensing of inland waters
Bio-optical modelling and remote sensing of inland waters / edited by Deepak R. Mishra, Igor Ogashawara, Anatoly A. Gitelson
- Published
- Amsterdam, Netherlands : Elsevier, [2017]
- Copyright Date
- ©2017
- Physical Description
- xv, 316 pages : illustrations ; 23 cm
- Additional Creators
- Mishra, Deepak R. (Deepak Ranjan), Ogashawara, Igor, and Gitelson, Anatoly A.
- Contents
- Machine generated contents note: 1.Remote Sensing of Inland Waters: Background and Current State-of-the-Art / Anatoly A. Gitelson -- 1.1.Inland Waters -- 1.2.Remote Sensing of Inland Waters -- 1.3.Fundamental Bio-optical Properties -- 1.4.Bio-optical Models -- 1.4.1.Classification of Bio-optical Models -- 1.4.2.Performance of Bio-optical Models -- 1.5.Book Content -- References -- 2.Radiative Transfer Theory for Inland Waters / Peter Gege -- 2.1.Introduction -- 2.2.Basic Principles -- 2.2.1.Interaction of Light with Matter -- 2.2.2.Radiometric Quantities -- 2.2.3.Radiative Transfer Equation -- 2.2.4.Inherent Optical Properties -- 2.2.5.From Microscopic to Macroscopic Material Parameters -- 2.3.Bio-optical Models -- 2.3.1.Water Composition -- 2.3.2.Apparent Optical Properties -- 2.3.3.AOP Models -- 2.4.Light Field Models -- 2.4.1.Incident Radiation -- 2.4.2.Water Surface Effects -- 2.4.3.Underwater Light Field -- 2.4.4.Fluorescence -- 2.4.5.Polarization -- 2.5.Conclusions -- Acknowledgments -- References -- 3.Atmospheric Correction for Inland Waters / Els Knaeps -- 3.1.Introduction -- 3.2.Challenges -- 3.2.1.Challenges Due to Physical and Bio-optical Properties -- 3.2.2.Challenges Due to Difficulties in Atmospheric Modeling -- 3.3.Existing Algorithms -- 3.3.1.Atmospheric Correction Algorithms -- 3.3.2.Adjacency Correction Algorithms -- 3.3.3.Case Study: Combined Atmospheric and Adjacency Correction -- 3.4.Conclusion -- Acknowledgments -- References -- 4.Bio-optical Modeling of Colored Dissolved Organic Matter / Birgot Paavel -- 4.1.Carbon in Inland Waters -- 4.2.Optical Properties of CDOM -- 4.3.Remote Sensing of CDOM -- 4.4.CDOM Retrieval With Bio-optical Models -- 4.5.Final Considerations -- References -- 5.Bio-optical Modeling of Total Suspended Solids / Vittorio E. Brando -- 5.1.Introduction -- 5.2.Optical Properties of Particles -- 5.2.1.Relationship between IOPs and TSS -- 5.2.2.Remote Sensing Algorithms for TSS -- 5.3.Case Studies -- 5.3.1.MERIS time-series---Lake Garda -- 5.3.2.Airborne Imaging Spectrometry---Mantua lakes -- 5.3.3.Multitemporal OLI Data---Po River -- 5.4.Conclusions -- Acknowledgments -- References -- Further Reading -- 6.Bio-optical Modeling of Phytoplankton Chlorophyll-a / Mark W. Matthews -- 6.1.Introduction -- 6.2.Chlorophylls: The Fundamental Measure of Phytoplankton Biomass and Production -- 6.3.Optical Pathways to Estimate Phytoplankton Chlorophyll-a -- 6.3.1.Phytoplankton Absorption -- 6.3.2.Phytoplankton Fluorescence -- 6.3.3.Phytoplankton Scattering -- 6.4.Conclusion -- Acknowledgments -- References -- 7.Bio-optical Modeling of Sun-Induced Chlorophyll-a Fluorescence / Yannick Huot -- 7.1.Introduction, Basic Concepts, and Current Knowledge -- 7.2.Modeling of Reflectance Spectra with Fluorescence -- 7.2.1.Remote Sensing Reflectance -- 7.2.2.Elastic Reflectance -- 7.2.3.Fluorescence Reflectance -- 7.2.4.Inherent Optical Properties and Attenuation Coefficients -- 7.3.Relationships Between the Fluorescence Magnitude and the Concentrations of Chlorophyll and Other Water Constituents -- 7.3.1.Simplified Fluorescence Model---Theoretical Considerations -- 7.3.2.Simplified Fluorescence Model---Comparison with Field Measurements -- 7.4.Retrieval of the Fluorescence Component from Reflectance Spectra -- 7.4.1.Combined Retrieval of the Fluorescence and Water Constituents -- 7.4.2.Fluorescence Line Height Algorithms and Their Limitations -- 7.4.3.Performance of Fluorescence Algorithms with Satellite Data -- 7.4.4.Retrieval of the Fluorescence Component from Polarimetric Hyperspectral Observations -- 7.4.5.Application of SICF to the Detection of Algal Blooms -- 7.5.Summary -- Acknowledgments -- References -- 8.Bio-optical Modeling of Phycocyanin / Kaishan Song -- 8.1.Introduction -- 8.2.Theoretical Basis for Remote Sensing of Phycocyanin -- 8.3.Literature Review of Remote Sensing Algorithms of Phycocyanin -- 8.3.1.Empirical Algorithms -- 8.3.2.Semi-empirical Algorithms -- 8.3.3.Semi-analytical Algorithms -- 8.4.Evaluation of Representative Algorithms Using a Large Field Dataset -- 8.4.1.Description of the Field Dataset -- 8.4.2.Evaluation of the Estimation Accuracy -- 8.4.3.Evaluation of a Band Ratio Algorithm -- 8.4.4.Evaluation of Semi-analytical Models -- 8.4.5.Evaluation of Two Baseline Algorithms Using AOP and IOP -- 8.4.6.Discussion of Factors Influencing the Remote Estimation of Phycocyanin -- 8.5.Mapping PC Using Airborne Images -- 8.6.Summary and Future Work -- Acknowledgements -- References -- 9.Bio-optical Modeling and Remote Sensing of Aquatic Macrophytes / Tim J. Malthus -- 9.1.Introduction -- 9.2.Spectral Characteristics of Aquatic Macrophytes -- 9.3.Application of Remote Sensing Systems -- 9.4.Discrimination and Classification -- 9.5.Determination of Macrophyte Biophysical Properties -- 9.5.1.Use of Indices -- 9.6.Bio-optical Modeling of Aquatic Macrophytes -- 9.7.Discussion and Priorities for Further Research -- 9.7.1.In Situ Measurement of Spectral Signatures -- 9.7.2.Signature Analysis -- 9.7.3.Bio-optical Modeling -- 9.7.4.Relationships with Biophysical Properties -- 9.7.5.Inversion Algorithms -- 9.7.6.Assessment of Remote Sensing Platforms -- 9.7.7.Regional Assessment/Global Monitoring -- 9.7.8.Role in Management.
- Subject(s)
- ISBN
- 9780128046449 (pbk.)
0128046449 (pbk.) - Bibliography Note
- Includes bibliographical references and index.
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