HYPERSPECTRAL VERSUS MULTISPECTRAL DATA FOR ZONATION OF VEGETABLE SPECIES: A ABSTRACT
DOI:
https://doi.org/10.5935/2237-2202.20110003Keywords:
NDVI, reflectance, HandHeld, FieldSpecAbstract
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.References
Lee, K. S., Cohen, W. B., Kennedy, R. E., Maiersperger, T. K., Gower, S. T. 2004. Hyperspectral versus multispectral data for estimating leaf area index in four different biomes. Remote Sensing of Environment, 91, 508-520p.
Silva, J.B. 2012. Sensoriamento Remoto Aplicado ao Estudo do Ecossistema Manguezal em Pernambuco. Tese de doutorado apresentada ao curso de pós-graduação em Geografia da Universidade Federal de Pernambuco, p.184.
Galvíncio, J. D., Naue, C. R., Angelotti, F., Moura, M. S. B. 2011. Vitis Vinifera Spectral Response to the Increase of CO2. Vol. 01, n. 01, 1-18p.
Silva, J.B. 2012. Sensoriamento Remoto Aplicado ao Estudo do Ecossistema Manguezal em Pernambuco. Tese de doutorado apresentada ao curso de pós-graduação em Geografia da Universidade Federal de Pernambuco, p.184.
Galvíncio, J. D., Naue, C. R., Angelotti, F., Moura, M. S. B. 2011. Vitis Vinifera Spectral Response to the Increase of CO2. Vol. 01, n. 01, 1-18p.
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Published
2012-04-13
How to Cite
Galvíncio, J. D. (2012). HYPERSPECTRAL VERSUS MULTISPECTRAL DATA FOR ZONATION OF VEGETABLE SPECIES: A ABSTRACT. Journal of Hyperspectral Remote Sensing, 1(3), 032–033. https://doi.org/10.5935/2237-2202.20110003
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Environmental Applications