Imaging Spectrometry: Basic Principles and Prospective by Freek D. van der Meer (auth.), Freek D. van der Meer, Steven

By Freek D. van der Meer (auth.), Freek D. van der Meer, Steven M. De Jong (eds.)

A major leap forward on the earth of earth statement was once made with the improvement of imaging spectrometry. Imaging spectrometers degree mirrored sun radiance from the earth in lots of slender spectral bands. one of these spectroscopical imaging method is in a position to detecting sophisticated absorption bands within the reflectance spectra and degree the reflectance spectra of varied items with a really excessive accuracy. for this reason, imaging spectrometry permits a greater id of gadgets on the earth floor and a greater quantification of the item homes than will be completed by means of conventional earth statement sensors corresponding to Landsat TM and notice. a number of the chapters within the ebook current the suggestions of imaging spectrometry by means of discussing the underlying physics and the analytical photograph processing innovations. the second one a part of the publication provides intimately a large choice of purposes of those new suggestions starting from mineral identity, mapping of expansive soils, land degradation, agricultural vegetation, typical crops and floor water caliber.

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These methods are the scope of this chapter. D. M. ), Imaging Spectrometry, 17-61. © 2002 Springer.

High-spectral resolution remotely sensed images are acquired to produce reflectance or radiance spectra for each pixel in the scene. Based upon the molecular absorptions and constituent scattering characteristics expressed in the spectrum we seek to: • Detect and identify the surface and atmospheric constituents present • Assess and measure the expressed constituent concentrations • Assign proportions to constituents in mixed spatial elements • Delineate spatial distribution of the constituents • Monitor changes in constituents through periodic data acquisitions • Simulate, calibrate and intercompare sensors • Validate, constrain and improve models New analytical processing techniques have been developed to analyze such high spectral dimensional data sets.

2 11m), thus smoothing to a large extent the reflectance characteristics of the surface (Goetz & Rowan 1981). 04 11m in width (Hunt 1980). High-spectral resolution remotely sensed images are acquired to produce reflectance or radiance spectra for each pixel in the scene. Based upon the molecular absorptions and constituent scattering characteristics expressed in the spectrum we seek to: • Detect and identify the surface and atmospheric constituents present • Assess and measure the expressed constituent concentrations • Assign proportions to constituents in mixed spatial elements • Delineate spatial distribution of the constituents • Monitor changes in constituents through periodic data acquisitions • Simulate, calibrate and intercompare sensors • Validate, constrain and improve models New analytical processing techniques have been developed to analyze such high spectral dimensional data sets.

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