2012Journal of Hyperspectral Remote SensingOpen access

HYPERSPECTRAL VERSUS MULTISPECTRAL DATA FOR ZONATION OF VEGETABLE SPECIES: A ABSTRACT

Josiclêda Domiciano Galvíncio

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Abstract

Motivated by the increasing importance of hyperspectral remote sensing data and encouraged to improve the use of physical-mathematical models that a necessity multispectral image, this text wants to perform a abstract of correspondence between hyperspectral and multispectral information to improve of zonation environmental and plant species. In order, the use hyperspectral remote sensing has been promising in to characterize chemical and physical properties of vegetation. When combined with multispectral remote sensing may promote progress in monitoring the physical and chemical properties of spatial and temporal scale.

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Motivated by the increasing importance of hyperspectral remote sensing data and encouraged to improve the use of physical-mathematical models that a necessity multispectral image, this text wants to perform a abstract of correspondence between hyperspectral and multispectral information to improve of zonation environmental and plant species. In order, the use hyperspectral remote sensing has been promising in to characterize chemical and physical properties of vegetation. When combined with multispectral remote sensing may promote progress in monitoring the physical and chemical properties of spatial and temporal scale.

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Available abstract

Motivated by the increasing importance of hyperspectral remote sensing data and encouraged to improve the use of physical-mathematical models that a necessity multispectral image, this text wants to perform a abstract of correspondence between hyperspectral and multispectral information to improve of zonation environmental and plant species. In order, the use hyperspectral remote sensing has been promising in to characterize chemical and physical properties of vegetation. When combined with multispectral remote sensing may promote progress in monitoring the physical and chemical properties of spatial and temporal scale.

Key concepts: Hyperspectral imaging, Multispectral image, Remote sensing, Vegetation (pathology), Multispectral pattern recognition, Environmental science, Scale (ratio), Computer science

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