High resolution derivative spectra in remote sensing

The use of derivative spectra is an established technique in analytical chemistry for the elimination of background signals and for resolving overlapping spectral features. Application of this technique for tackling analogous problems such as interference from soil background reflectance in the remo...

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Bibliographic Details
Published in:Remote sensing of environment 1990-07, Vol.33 (1), p.55-64
Main Authors: Demetriades-Shah, Tanvir H., Steven, Michael D., Clark, Jeremy A.
Format: Article
Language:English
Subjects:
BETA VULGARIS
CHLOROSE
CHLOROSIS
CLOROSIS
Earth Resources And Remote Sensing
ENERGIA SOLAR
ENERGIE SOLAIRE
ESPECTROMETRIA
FEUILLE
HOJAS
LEAVES
OPTICAL PROPERTIES
PROPIEDADES OPTICAS
PROPRIETE OPTIQUE
REFLECTANCE
REMOTE SENSING
SOLAR ENERGY
SPECTRAL DATA
SPECTROMETRIE
SPECTROMETRY
TELEDETECCION
TELEDETECTION
VEGETACION
VEGETATION
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Summary:The use of derivative spectra is an established technique in analytical chemistry for the elimination of background signals and for resolving overlapping spectral features. Application of this technique for tackling analogous problems such as interference from soil background reflectance in the remote sensing of vegetation or for resolving complex spectra of several target species within individual pixels in remote sensing is proposed. Methods for generating derivatives of high spectral resolution data are reviewed. Results of experiments to test the use of derivatives for monitoring chlorosis in vegetation show that derivative spectral indices are superior to conventional broad-band spectral indices such as the near-infrared / red reflectance ratio. Conventional broad-band indices are sensitive to both leaf cover as well as leaf color. New derivative spectral indices which were able to monitor chlorosis unambiguously were identified. Potential areas for the application of this technique in remote sensing are considered.
ISSN:0034-4257
1879-0704
DOI:10.1016/0034-4257(90)90055-Q