Bio-optical Modeling and Remote Sensing of Inland Waters
Coordonnateurs : Mishra Deepak R., Ogashawara Igor, Gitelson Anatoly Abraham
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.
2. Radiative Transfer Theory for Inland Waters
3. Atmospheric Correction for Inland Waters
4. Bio-optical Modeling of Colored Dissolved Organic Matter
5. Bio-optical Modeling of Total Suspended Solids
6. Bio-optical Modeling of Phytoplankton Chlorophyll-a
7. Bio-optical Modeling of Sun-Induced Chlorophyll-a Fluorescence
8. Bio-optical Modeling of Phycocyanin
9. Bio-optical Modeling and Remote Sensing of Aquatic Macrophytes
Geographer by degree and limnologist by heart Ogashawara found through remote sensing the opportunity to connect these two areas. Since high school he learned about tropical limnology while researching at the International Institute of Ecology, Brazil. During college he worked on relating weather types and cyanobacteria blooms and as an MSc student at the Brazilian National Institute for Space Research, he attempted to use bio-optical modeling to monitor water quality in tropical hydroelectric reservoirs. Currently he is a PhD student at Indiana University – Purdue University at Indianapolis, working with bio-optical modeling to identify and predict cyanobacteria in inland waters.
Gitelson’s expertise is in the area of remote sensing of aquatic and terrestrial environments. His research on radiative transfer in terrestrial vegetation and water resulted in development models for estimating wate
- 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
Date de parution : 05-2017
Ouvrage de 332 p.
15.2x22.8 cm
Thèmes de Bio-optical Modeling and Remote Sensing of Inland Waters :
Mots-clés :
AOP; Absorption; Adjacency correction; Aerosol model; Algae; Aquatic macrophytes; Aquatic optics; Atmospheric correction; Bio-optical model; Bio-optical modeling; Bio-optics; Biophysical parameters; Black-pixel assumption; CDOM; Chlorophyll fluorescence; Chlorophyll-a; Cyanobacteria; Fluorescence; Hyperspectral; IOP; Imaging spectrometry; Infrared; Inland waters; Lakes; Lakes and rivers; Matrix inversion; Neural networks; Ocean color; Phycocyanin; Phytoplankton; Radiative transfer; Reflectance; Remote sensing; Research priorities; Retrieval algorithms; Review; Satellite images; Satellites; Scattering; Shallow waters; Short wave infrared; Spectral angle mapper; Spectral matching; Suspended solids; Terminology; Turbidity; Water quality; Water reflectance