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    Atmospheric Remote Sensing: Principles and Applications

    Atmospheric Remote Sensing by Singh, Abhay Kumar; Tiwari, Shani;

    Principles and Applications

    Series: Earth Observation;

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      • Publisher's listprice EUR 140.00
      • The price is estimated because at the time of ordering we do not know what conversion rates will apply to HUF / product currency when the book arrives. In case HUF is weaker, the price increases slightly, in case HUF is stronger, the price goes lower slightly.

        59 388 Ft (56 560 Ft + 5% VAT)
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    59 388 Ft

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    Product details:

    • Publisher Elsevier
    • Date of Publication 9 November 2022

    • ISBN 9780323992626
    • Binding Paperback
    • No. of pages480 pages
    • Size 234x190 mm
    • Weight 1000 g
    • Language English
    • 453

    Categories

    Long description:

    Atmospheric Remote Sensing: Principles and Applications discusses the fundamental principles of atmospheric remote sensing and their applications in different research domains. Furthermore, the book covers the basic concepts of satellite remote sensing of the atmosphere, followed by Ionospheric remote sensing tools like Global Positioning System (GPS) and Very Low Frequency (VLF) wave. Sections emphasize the applications of atmospheric remote study in Ionospheric perturbation, fire detection, aerosol characteristics over land, ocean and Himalayan regions. In addition, the application of atmospheric remote sensing in disaster management like dust storms, cyclones, smoke plume, aerosol-cloud interaction, and their impact on climate change are discussed.

    This book is a valuable reference for students, researchers and professionals working in atmospheric science, remote sensing, and related disciplines.

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    Table of Contents:

    Section 1: Principles of atmospheric remote sensing
    1. Satellite Remote Sensing Aerosol Optical Depth (AOD) Retrievals: accuracy assessment, limitations, and usage recommendations over Asia
    2. Earth Observation Satellites (EOS) for global sustainability: Potentials and boundaries
    3. Remote Sensing and its implication to air pollution studies
    4. Global Navigation Satellite System and its Application in Remote Sensing of Atmosphere
    5. Estimation of Ionospheric Total Electron Content (TEC) from GNSS observations
    6. Impact of water vapor on atmospheric correction of satellite images

    Section 2: Application of atmospheric remote sensing
    7. Identification of fires over the Indian region from space
    8. Identification of different aerosol types observed at a semi-arid location in southern peninsular India retrieved from the CALIPSO
    9. Remote sensing of clouds: challenges and way forward
    10. Study of Aerosol - Cloud Interaction over Indian region using satellite remote sensing
    11. Aerosol loading over the Northern Indian ocean using spaceborne measurement
    12. Balloon - based remote sensing of Atmosphere
    13. Vertical distribution of atmospheric brown clouds using LiDAR remote sensing over Indian region
    14. Application of Remote Sensing to study forest fires over the Himalayan region
    15. Study of the atmospheric and ionospheric phenomenon using GPS based remote sensing technique
    16. Low-latitude lower ionosphere remote sensing using very low frequency (VLF) waves
    17. Remote Sensing of Ionosphere, Plasmasphere, and Magnetosphere by VLF Wave
    18. Remote Sensing of Ionospheric Irregularities
    19. Application of atmospheric remote sensing in disaster management
    20. Characteristics of tropical cyclones through remote sensing observations and techniques
    21. Significance of Remote sensing in Tropical Cyclone prediction and disaster management: Indian perspective
    22. Study of dust storm characteristics over Indo - Gangetic Basin through satellite remote sensing
    23. Geomorphological mapping of glacial and periglacial landforms using Remote Sensing: Examples from semi-arid and sub-humid Himalayan valleys
    24. Classification of Remotely sensed Formosat-2 Haridwar data using Deep Learning Artificial Neural Network and Convolutional Neural Network
    25. Remote sensing-based study of landslide hazard zonation in Namchi and its surrounding area of Sikkim, India

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