Simulation of the Sea Surface for Remote Sensing

1. Front Matter

   Pages i-xiv

   PDF

2. Statistical Distributions of Sea Surface Elevations

   • Alexander Zapevalov, Konstantin Pokazeev, Tatiana Chaplina

   Pages 1-20

3. Statistical Distributions Sea Surface Slope

   • Alexander Zapevalov, Konstantin Pokazeev, Tatiana Chaplina

   Pages 21-52

4. On the Dispersion Relation of Sea Waves

   • Alexander Zapevalov, Konstantin Pokazeev, Tatiana Chaplina

   Pages 53-75

5. Modeling the Shape of the Impulse Reflected from the Sea Surface

   • Alexander Zapevalov, Konstantin Pokazeev, Tatiana Chaplina

   Pages 77-95

6. Effect of Long Surface Waves on the Bragg Scattering of Microwave

   • Alexander Zapevalov, Konstantin Pokazeev, Tatiana Chaplina

   Pages 97-115

7. Impact of Physicochemical Characteristics of the Sea Water on Bregg Scattering of Radio Waves

   • Alexander Zapevalov, Konstantin Pokazeev, Tatiana Chaplina

   Pages 117-136

8. Measurements of Statistical Moments of Sea Surface Slope Based on Satellite Sounding Data

   • Alexander Zapevalov, Konstantin Pokazeev, Tatiana Chaplina

   Pages 137-155

9. The Distribution of the Variance of the Sea Surface Slopes on the Spatial Scales Creating Their Waves

   • Alexander Zapevalov, Konstantin Pokazeev, Tatiana Chaplina

   Pages 157-172

10. Study of the Variability in the Ocean-Atmosphere Interface as a Reflective Surface of Light

    • Alexander Zapevalov, Konstantin Pokazeev, Tatiana Chaplina

    Pages 173-198

11. Physical Limitations of Accuracy of Remote Determination of Wind Speed Over the Ocean

    • Alexander Zapevalov, Konstantin Pokazeev, Tatiana Chaplina

    Pages 199-222

This book considers the formation of the signal reflected from the sea surface when sensing in the radio and optical range. Currently, remote sensing from space is the main source of information about the processes taking place in the atmosphere and ocean. The correct interpretation of remote sensing data requires detailed information about the rough surface that forms the reflected signal. The first three chapters describe the statistical and spatial-temporal characteristics of the sea surface, focusing on the effects associated with the nonlinearity of sea surface waves. The analysis makes extensive use of data obtained by the authors on a stationary oceanographic platform located on the Black sea. In the next seven chapters, the authors analyze how the nonlinearity of waves affects the formation of a signal reflected from the sea surface.
This book is geared for advanced level research in the general subject area of remote sensing and modeling as they apply to the coastalmarine environment. It is of value to scientists and engineers involved in the development of methods and instruments of remote sensing, analysis and interpretation of data. It is useful for students who have decided to devote themselves to the study of the oceans.

• Sea surface Change Detection
• Remote Sensing Technology
• Multi-Spectral and Hyperspectral Remote Sensing
• Nonlinearity
• Physical Modeling and Signatures
• Mathematical Modeling
• Remote Sensing/Photogrammetry

• Marine Hydrophysical Institute Russian Academy of Sciences, Sevastopol, Russia

  Alexander Zapevalov

• Faculty of Physics, M.V.Lomonosov Moscow State University, Moscow, Russia

  Konstantin Pokazeev

• Institute for Problems in Mechanics Russian Academy of Sciences, Moscow, Russia

  Tatiana Chaplina

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