Description
Book SynopsisLand 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; a
Table of ContentsPreface. History and Description of Hyperspectral Imaging. Spectral Radiometry. Imaging Spectrometers: Operational Considerations. Hyperspectral Remote Sensing and the Atmosphere. Information Extraction from Optical Image Data. Hyperspectral and Ultraspectral Information Extraction Approaches. Agricultural Applications. Environmental Applications. Forestry Applications. Geology Applications. Index.
