HYPERSPECTRAL VERSUS MULTISPECTRAL DATA FOR ZONATION OF VEGETABLE SPECIES: A ABSTRACT
Josiclêda Domiciano Galvíncio
Abstract
Open-access reader
Josiclêda Domiciano Galvíncio
Abstract
Open-access reader
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.
A significance statement is not available in the OpenAlex record.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
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