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Books > Earth & environment > Geography > Cartography, geodesy & geographic information systems (GIS) > Remote sensing
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Hyperspectral Remote Sensing of Vegetation, Second Edition, Four Volume Set (Hardcover, 2nd edition)
Loot Price: R14,217
Discovery Miles 142 170
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Hyperspectral Remote Sensing of Vegetation, Second Edition, Four Volume Set (Hardcover, 2nd edition)
Series: Hyperspectral Remote Sensing of Vegetation, Second Edition
Expected to ship within 12 - 17 working days
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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. Volume IV, Advanced Applications in Remote Sensing of
Agricultural Crops and Natural Vegetation discusses the use of
hyperspectral or imaging spectroscopy data in numerous specific and
advanced applications, such as forest management, precision
farming, managing invasive species, and local to global land cover
change detection.
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