
Bio-optical Modeling and Remote Sensing of Inland Waters
Description
Key Features
- Presents comprehensive chapters that each target a different optically active component of inland waters
- Contains contributions from respected and active professionals in the field
- Presents applications of bio-optical modeling theories that are applicable to researchers, professionals, and government agencies
Readership
Upper-Level undergraduate and graduate level students, researchers and professors in aquatic sciences, ecology, remote sensing, and environmental science
Table of Contents
Chapter 1. Remote Sensing of Inland Waters: Background and Current State-of-the-Art
Igor Ogashawara, Deepak R. Mishra and Anatoly A. Gitelson- Abstract
- 1.1 Inland Waters
- 1.2 Remote Sensing of Inland Waters
- 1.3 Fundamental Bio-Optical Properties
- 1.4 Bio-Optical Models
- 1.5 Book Content
- References
Chapter 2. Radiative Transfer Theory for Inland Waters
Peter Gege- Abstract
- 2.1 Introduction
- 2.2 Basic Principles
- 2.3 Bio-Optical Models
- 2.4 Light Field Models
- 2.5 Conclusions
- Acknowledgments
- References
Chapter 3. Atmospheric Correction for Inland Waters
Wesley J. Moses, Sindy Sterckx, Marcos Montes, Liesbeth De Keukelaere and Els Knaeps- Abstract
- 3.1 Introduction
- 3.2 Challenges
- 3.3 Existing Algorithms
- 3.4 Conclusion
- Acknowledgments
- References
Chapter 4. Bio-optical Modeling of Colored Dissolved Organic Matter
Tiit Kutser, Sampsa Koponen, Kari Y. Kallio, Tonio Fincke and Birgot Paavel- Abstract
- 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
Chapter 5. Bio-optical Modeling of Total Suspended Solids
Claudia Giardino, Mariano Bresciani, Federica Braga, Ilaria Cazzaniga, Liesbeth De Keukelaere, Els Knaeps and Vittorio E. Brando- Abstract
- 5.1 Introduction
- 5.2 Optical Properties of Particles
- 5.3 Case Studies
- 5.4 Conclusions
- Acknowledgments
- References
- Further Reading
Chapter 6. Bio-optical Modeling of Phytoplankton Chlorophyll-a
Mark William Matthews- Abstract
- 6.1 Introduction
- 6.2 Chlorophyll-a: The Fundamental Measure of Phytoplankton Biomass and Production
- 6.3 Optical Pathways to Estimate Phytoplankton Chlorophyll-a
- 6.4 Conclusion
- Acknowledgments
- References
Chapter 7. Bio-optical Modeling of Sun-Induced Chlorophyll-a Fluorescence
Alexander Gilerson and Yannick Huot- Abstract
- 7.1 Introduction, BASIC Concepts, and Current Knowledge
- 7.2 Modeling of Reflectance Spectra with Fluorescence
- 7.3 Relationships Between the Fluorescence Magnitude and the Concentrations of Chlorophyll and Other Water Constituents
- 7.4 Retrieval of the Fluorescence Component from Reflectance Spectra
- 7.5 Summary
- Acknowledgments
- References
Chapter 8. Bio-optical Modeling of Phycocyanin
Linhai Li and Kaishan Song- Abstract
- 8.1 Introduction
- 8.2 Theoretical basis for remote sensing of phycocyanin
- 8.3 Literature review of remote sensing algorithms of phycocyanin
- 8.4 Evaluation of Representative Algorithms Using a Large Field Dataset
- 8.5 Mapping PC Using Airborne Images
- 8.6 Summary and Future Work
- Acknowledgements
- References
Chapter 9. Bio-optical Modeling and Remote Sensing of Aquatic Macrophytes
Tim J. Malthus- Abstract
- 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
- 9.6 Bio-Optical Modeling of Aquatic Macrophytes
- 9.7 Discussion and Priorities for Further Research
- References
Product details
- No. of pages: 332
- Language: English
- Copyright: © Elsevier 2017
- Published: April 28, 2017
- Imprint: Elsevier
- Paperback ISBN: 9780128046449
- eBook ISBN: 9780128046548
About the Editors
DEEPAK MISHRA
Affiliations and Expertise
Igor Ogashawara
Affiliations and Expertise
Anatoly Gitelson
Affiliations and Expertise
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