Land management issues, such as mapping tree species, recognizing
invasive plants, and identifying key geologic features, require an
understanding of complex technical issues before the best decisions can
be made. Hyperspectral remote sensing is one the technologies that can
help with reliable detection and identification. Presenting the
fundamentals of remote sensing at an introductory level, Hyperspectral
Remote Sensing: Principles and Applications explores all major aspects
of hyperspectral image acquisition, exploitation, interpretation, and
applications.
The book begins with several chapters on the basic concepts and
underlying principles of remote sensing images. It introduces spectral
radiometry concepts, such as radiance, irradiance, flux, and blackbody
radiation; covers imaging spectrometers, examining spectral range, full
width half maximum (FWHM), resolution, sampling, signal-to-noise ratio
(SNR), and multispectral and hyperspectral sensor systems; and addresses
atmospheric interactions. The book then discusses information
extraction, with chapters covering the underlying physics principles
that lead to the creation of an image and the interpretation of the
image's information. The final chapters describe case studies that
illustrate the use of hyperspectral remote sensing in agriculture,
environmental monitoring, forestry, and geology.
After reading this book, you will have a better understanding of how to
evaluate different approaches to hyperspectral analyses and to determine
which approaches will work for your applications.
