By Victor Raizer
This ebook demonstrates the functions of passive microwave method for more suitable observations of ocean positive aspects, together with the detection of (sub)surface occasions and/or disturbances whereas laying out the advantages and bounds of those equipment. It represents not just an creation and entire description of the most ideas of ocean microwave radiometry and imagery, but in addition offers tips for additional experimental reviews. moreover, it expands the research of distant sensing tools, types, and methods and makes a speciality of a high-resolution multiband imaging remark concept. Such a complicated technique presents readers with a brand new point of geophysical details and knowledge acquisition granting the chance to enhance their services on complex microwave expertise, changing into now an imperative instrument for diagnostics of ocean phenomena and disturbances.
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Additional info for Advances in passive microwave remote sensing of oceans
A follow-up analysis reveals and specifies the properties and content of the collected data sets; interpretation provides physics-based insights into data mining with the goal to investigate possible effects and/or signatures. For example, geophysical representation and specification of the ocean microwave imaging data can be performed digitally using computer vision algorithms. This gives us realizations in the form of the so-called radiometric portrait. Data processing is divided into two parts: preprocessing and actual or thematic processing.
11 show that two principal types of solutions can be found—stable and unstable. This means that in the classic understanding, “real motions must not only satisfy the equations of hydrodynamics, but must be stable in the sense that the perturbations which inevitably arise under actual conditions must die out with time” (Monin and Yaglom 2007). It is clear that such a suggestion imposes stringent limits on a relation of an initial medium parameter and nonlinearity degree of the equations. Usually, the Reynolds number Re = U0L/ν0 (where U0 is the characteristic velocity, L is the characteristic scale, and ν0 is the kinematic viscosity) is applied as the main criterion of the stability.
Cygnus-Quasar Books, Powell, Ohio. Lavender, S. and Lavender, A. 2015. Practical Handbook of Remote Sensing. CRC Press, Boca Raton, FL. Martin, S. 2014. An Introduction to Ocean Remote Sensing, 2nd edition. Cambridge University Press, Cambridge, UK. Matzler, C. 2006. Thermal Microwave Radiation: Applications for Remote Sensing. The Institution of Engineering and Technology, London, UK. Njoku, E. G. 2014. Encyclopedia of Remote Sensing (Encyclopedia of Earth Sciences Series). Springer, New York, NY.