Last edited by Shaktishakar
Tuesday, April 21, 2020 | History

4 edition of Electromagnetic scattering modelling for quantitative remote sensing found in the catalog.

Electromagnetic scattering modelling for quantitative remote sensing

  • 88 Want to read
  • 30 Currently reading

Published by World Scientific in Singapore, New Jersey .
Written in English

    Subjects:
  • Remote sensing.,
  • Electromagnetic waves -- Scattering -- Mathematical models.

  • Edition Notes

    Includes bibliographical references (p. 323-327) and index.

    StatementYa-Qiu Jin.
    Classifications
    LC ClassificationsG70.4 .J56 1993
    The Physical Object
    Paginationxiv, 333 p. :
    Number of Pages333
    ID Numbers
    Open LibraryOL1191509M
    ISBN 109810216483
    LC Control Number94182497
    OCLC/WorldCa30635058

    Electromagnetic Wave Theory & Remote Sensing scattering equation and the Percus-Yevick result is used to represent the pair distribution function. The strong fluctuation theory is also applied to the study of electromagnatic wave scattering by a layer of random discrete scatterers. 27'28 Acoustic Wave Propagation Studies. Z. Chen, L. Tsang, and G. Zhang, "Application of stochastic Lindenmayer systems to study collective and cluster scattering in microwave remote sensing of vegetation," Progress in Electromagnetics Research, vol. 14, EMW Publishers, pp , Cambridge, Massachusetts The Normalized Difference Vegetation Index (NDVI) is a numerical indicator that uses the visible and near-infrared bands of the electromagnetic spectrum, and is adopted to analyze remote sensing measurements and assess whether the target being observed contains live green vegetation or not. Cambridge Core - Remote Sensing and Gis - Physical Principles of Remote Sensing - by W. G. Rees. Environmental Monitoring and Modelling Research Group, King's College London The Scattering of Electromagnetic Waves from Rough Surfaces. Norwood, Massachusetts: Cited by:

    Remote sensing and Hydrology. Remote sensing: Measuring environmental variables without any direct contact with a target-Measuring strength of electromagnetic radiation-Extraction of valuable information from the remote sensing data uses mathematically and statistically based algorithms. • Understand EM radiative transfer.


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Electromagnetic scattering modelling for quantitative remote sensing by Ya-Qiu Jin Download PDF EPUB FB2

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They should already possess an understanding that white light is the combination of all colors of the spectrum.