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Hyperspectral Remote Sensing Of Vegetation Second Edition Four Volume Set at Meripustak

Hyperspectral Remote Sensing Of Vegetation Second Edition Four Volume Set by Thenkabail Prasad S , T&F/Crc Press

Books from same Author: Thenkabail Prasad S

Books from same Publisher: T&F/Crc Press

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  • General Information  
    Author(s)Thenkabail Prasad S
    PublisherT&F/Crc Press
    Edition2nd Edition
    ISBN9781032475899
    Pages1632
    BindingSoftcover
    LanguageEnglish
    Publish YearMarch 2023

    Description

    T&F/Crc Press Hyperspectral Remote Sensing Of Vegetation Second Edition Four Volume Set by Thenkabail Prasad S

    Written by leading global experts, including pioneers in the field, the four-volume set on Hyperspectral Remote Sensing of Vegetation, Second Edition, reviews existing state-of-the-art knowledge, highlights advances made in different areas, and provides guidance for the appropriate use of hyperspectral data in the study and management of agricultural crops and natural vegetation.Volume I, Fundamentals, Sensor Systems, Spectral Libraries, and Data Mining for Vegetation introduces the fundamentals of hyperspectral or imaging spectroscopy data, including hyperspectral data processes, sensor systems, spectral libraries, and data mining and analysis, covering both the strengths and limitations of these topics.Volume II, Hyperspectral Indices and Image Classifications for Agriculture and Vegetation evaluates the performance of hyperspectral narrowband or imaging spectroscopy data with specific emphasis on the uses and applications of hyperspectral narrowband vegetation indices in characterizing, modeling, mapping, and monitoring agricultural crops and vegetation.Volume III, Biophysical and Biochemical Characterization and Plant Species Studies demonstrates the methods that are developed and used to study terrestrial vegetation using hyperspectral data. This volume includes extensive discussions on hyperspectral data processing and how to implement data processing mechanisms for specific biophysical and biochemical applications such as crop yield modeling, crop biophysical and biochemical property characterization, and crop moisture assessments.



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