Paying particular attention to tropical forest ecosystems, this book illustrates the potential of hyperspectral remote sensing with regard to a variety of forest applications. Using analysis techniques that go beyond simple classification, it examines the use of hyperspectral reflectance indices, spectral mixture analysis, pattern classification, band selection, partial least-squares, linear discriminant analysis, and radiative transfer models. It focuses on the complex and unique set of challenges involved in using remote sensing technology and the data it provides. A CD-ROM including additional hyperspectral color images is included.
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