Description
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 component of inland waters, providing a broad range of applications of water quality monitoring using remote sensing. Rather than discussing optical radiometry theories, the authors explore the applications of these theories to inland aquatic environments.
The book not only covers applications, but also discusses new possibilities, making the bio-optical theories operational, a concept that is of great interest to both government and private sector organizations. In addition, it addresses not only the physical theory that makes bio-optical modeling possible, but also the implementation and applications of bio-optical modeling in inland waters.
Early chapters introduce the concepts of bio-optical modeling and the classification of bio-optical models and satellite capabilities both in existence and in development. Later chapters target specific optically active components (OACs) for inland waters and present the current status and future direction of bio-optical modeling for the OACs. Concluding sections provide an overview of a governance strategy for global monitoring of inland waters based on earth observation and bio-optical modeling.
- Presents comprehensive chapters that each target a different optically active component of inland waters
- Contains con
Chapter
1 Remote Sensing of Inland Waters: Background and Current State-of-the-Art
1.2 Remote Sensing of Inland Waters
1.3 Fundamental Bio-Optical Properties
1.4.1 Classification of Bio-optical Models
1.4.2 Performance of Bio-optical Models
2 Radiative Transfer Theory for Inland Waters
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
2.3.1.3 Total Suspended Matter
2.3.2 Apparent Optical Properties
2.4.2 Water Surface Effects
2.4.3 Underwater Light Field
3 Atmospheric Correction for Inland Waters
3.2.1 Challenges Due to Physical and Bio-optical Properties
3.2.1.1 High Turbidity and Floating Objects
3.2.2 Challenges Due to Difficulties in Atmospheric Modeling
3.2.2.1 Optical Heterogeneity Due to Terrestrial Influence
3.2.2.2 Breakdown of Basic Assumptions
3.3.1 Atmospheric Correction Algorithms
3.3.1.1 Algorithms Deriving Aerosol Information from Clear Water Pixels in the Image, Assuming Spatial Homogeneity
3.3.1.2 Algorithms Based on Extending the “Black-Pixel” Approach to the SWIR Region
3.3.1.3 Algorithms Based on Spatial Extension of Aerosol Information Retrieved from Nearby Land
3.3.1.4 Simultaneous Retrieval of Atmospheric and Water Components
3.3.1.5 Image-Based Algorithms
3.3.2 Adjacency Correction Algorithms
3.3.3 Case Study: Combined Atmospheric and Adjacency Correction
4 Bio-optical Modeling of Colored Dissolved Organic Matter
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
5 Bio-optical Modeling of Total Suspended Solids
5.2 Optical Properties of Particles
5.2.1 Relationship between IOPs and TSS
5.2.2 Remote Sensing Algorithms for TSS
5.3.1 MERIS Time-Series—Lake Garda
5.3.2 Airborne Imaging Spectrometry—Mantua Lakes
5.3.3 Multitemporal OLI Data—Po River
6 Bio-optical Modeling of Phytoplankton Chlorophyll-a
6.2 Chlorophyll-a: 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
7 Bio-optical Modeling of Sun-Induced Chlorophyll-a Fluorescence
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
7.2.4.1 Absorption Coefficient
7.2.4.2 Scattering and Backscattering Coefficients
7.2.4.3 Diffuse and Radiance 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
8 Bio-optical Modeling of Phycocyanin
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
9 Bio-optical Modeling and Remote Sensing of Aquatic Macrophytes
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
9.7.1 In Situ Measurement of Spectral Signatures
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
Bio-optical Modeling and Remote Sensing of Inland Waters
Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.
