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Hyperspectral Indices and Image Classifications for Agriculture and Vegetation - Hyperspectral Remote Sensing of Vegetation (Paperback, 2nd edition)
Loot Price: R1,340
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Hyperspectral Indices and Image Classifications for Agriculture and Vegetation - Hyperspectral Remote Sensing of Vegetation (Paperback, 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 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. This volume presents and discusses topics
such as the non-invasive quantification of foliar pigments, leaf
nitrogen concentration of cereal crop, the estimation of nitrogen
content in crops and pastures, and forest leaf chlorophyll content,
among others. The concluding chapter provides readers with useful
guidance on the highlights and essence of Volume II through the
editors' perspective. Key Features of Volume II: Provides the
fundamentals of hyperspectral narrowband vegetation indices and
hyperspectral derivative vegetation indices and their applications
in agriculture and vegetation studies. Discusses the latest
advances in hyperspectral image classification methods and their
applications. Explains the massively big hyperspectral sensing data
processing on cloud computing architectures. Highlights the
state-of-the-art methods in the field of hyperspectral narrowband
vegetation indices for monitoring agriculture, vegetation, and
their properties such as plant water content, nitrogen,
chlorophyll, and others at leaf, canopy, field, and landscape
scales. Includes best global expertise on hyperspectral remote
sensing of agriculture, crop water use, plant species detection,
crop productivity and water productivity mapping, and modeling.
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