Analysis of data from imaging spectrometers to determine vegetation
parameters is a new and emerging field of science. Hyperspectral
remote sensing using field spectra, HyMap and Hyperion images are
here used to study the feed quality of pastures. Both environmental
and economical benefits can be achieved from predictive
relationships between hyperspectral data and pasture quality
parameters. The research described in this book provides
assessments of different analysis methods, including advantages and
limitations of different approaches as well as recommendations for
future investigations. The work was carried out at three study
sites in Victoria, Australia. Results show that there is a clear
potential for hyperspectral remote sensing to provide important
inputs to management decision system as pasture quality is the
third crucial component needed after biomass and growth rate. The
book gives both a thourough background to hyperspectral analysis of
vegetation to date and a comprehensive introduction to
hyperspectral remote sensing of pastures. It should therefore be
very of great interest to both students and professionals in the
fields of remote sensing and agronomy.
General
Imprint: |
Lap Lambert Academic Publishing
|
Country of origin: |
Germany |
Release date: |
August 2012 |
First published: |
August 2012 |
Authors: |
Susanne Thulin
|
Dimensions: |
229 x 152 x 30mm (L x W x T) |
Format: |
Paperback - Trade
|
Pages: |
540 |
ISBN-13: |
978-3-659-17175-8 |
Categories: |
Books >
Science & Mathematics >
Mathematics >
General
|
LSN: |
3-659-17175-1 |
Barcode: |
9783659171758 |
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