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170503s2017 ne ob 001 0 eng d |
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|a Bio-optical modeling and remote sensing of inland waters /
|c edited by Deepak R. Mishra, Igor Ogashawara, Anatoly A. Gitelson.
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264 |
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|a Amsterdam, Netherlands :
|b Elsevier,
|c 2017.
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300 |
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|a 1 online resource
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336 |
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|a text
|b txt
|2 rdacontent
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|a computer
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|a online resource
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|a Front Cover; Bio-optical Modeling and Remote Sensing of Inland Waters; Copyright Page; Contents; List of Contributors; Abbreviations and Notations; Abbreviations; Notations; 1 Remote Sensing of Inland Waters: Background and Current State-of-the-Art; 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; 2.1 Introduction; 2.2 Basic Principles.
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|a 2.2.1 Interaction of Light with Matter2.2.2 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; 2.3.1.1 Phytoplankton; 2.3.1.2 CDOM; 2.3.1.3 Total Suspended Matter; 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.
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|a 3 Atmospheric Correction for Inland Waters3.1 Introduction; 3.2 Challenges; 3.2.1 Challenges Due to Physical and Bio-optical Properties; 3.2.1.1 High Turbidity and Floating Objects; 3.2.1.2 Adjacency Effect; 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 Existing Algorithms; 3.3.1 Atmospheric Correction Algorithms; 3.3.1.1 Algorithms Deriving Aerosol Information from Clear Water Pixels in the Image, Assuming Spatial Homogeneity.
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|a 3.3.1.2 Algorithms Based on Extending the "Black-Pixel" Approach to the SWIR Region3.3.1.3 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; 3.4 Conclusion; Acknowledgments; References; 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.
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|a 4.4 CDOM Retrieval With Bio-Optical Models4.5 Final Considerations; References; 5 Bio-optical Modeling of Total Suspended Solids; 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; 6.1 Introduction.
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|a Includes index.
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588 |
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|a Online resource; title from PDF title page (ScienceDirect, viewed May 16, 2017).
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|a Includes bibliographical references and index.
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650 |
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0 |
|a Fresh water
|x Remote sensing.
|
650 |
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|a Water quality
|x Measurement
|x Remote sensing.
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650 |
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6 |
|a Eau douce
|0 (CaQQLa)201-0008792
|x T�el�ed�etection.
|0 (CaQQLa)201-0380277
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650 |
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6 |
|a Eau
|0 (CaQQLa)201-0097610
|x Qualit�e
|0 (CaQQLa)201-0097610
|x Mesure
|0 (CaQQLa)201-0097610
|x T�el�ed�etection.
|0 (CaQQLa)201-0380277
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|a SCIENCE
|x Earth Sciences
|x Geography.
|2 bisacsh
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650 |
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|a SCIENCE
|x Earth Sciences
|x Geology.
|2 bisacsh
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650 |
|
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|a Water quality
|x Measurement
|x Remote sensing
|2 fast
|0 (OCoLC)fst01171864
|
700 |
1 |
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|a Mishra, Deepak R.
|q (Deepak Ranjan),
|e editor.
|
700 |
1 |
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|a Ogashawara, Igor,
|e editor.
|
700 |
1 |
|
|a Gitelson, Anatoly A.,
|e editor.
|
776 |
0 |
8 |
|i Print version:
|t Bio-optical modeling and remote sensing of inland waters.
|d Amsterdam, Netherlands : Elsevier, 2017
|z 0128046449
|z 9780128046449
|w (OCoLC)953222770
|
856 |
4 |
0 |
|u https://sciencedirect.uam.elogim.com/science/book/9780128046449
|z Texto completo
|