Data of plant diversity, spectral reflectance at specie level and satellite spectral variables from the largest dry forest nucleus in South America.

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dc.contributorEdna Samara e Silva Medeiros; Célia Cristina Clemente Machado; Josiclêda Domiciano Galvíncio; MAGNA SOELMA BESERRA DE MOURA, CPATSA; Helder Farias Pereira de Araujo.
dc.creatorMEDEIROS, E. S. e S
dc.creatorMACHADO, C. C. C.
dc.creatorGALVÍNCIO, J. D.
dc.creatorMOURA, M. S. B. de
dc.creatorARAÚJO, H. F. P. de
dc.date2019-10-30T18:13:43Z
dc.date2019-10-30T18:13:43Z
dc.date2019-10-30
dc.date2019
dc.date2019-10-30T18:13:43Z
dc.date.accessioned2026-07-07T05:55:01Z
dc.descriptionThe use of satellite remote sensing makes it possible to acquire useful information about the environment, since it presents tools capable of assisting the practical search of information related to species richness. Here we present data on richness and Shannon index from phytosociological researches, vegetation indices and individual bands spectral reflectance from satellite images and leaf-level spectral reflectance from eight Caatinga species. For further interpretation of the data presented in this article, please see the research article ?Predicting plant species richness with satellite images in the largest dry forest nucleus in South America?
dc.identifierData in Brief, v. 25, p. 1-7, 2019.
dc.identifierhttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1113640
dc.identifier10.1016/j.dib.2019.104335
dc.identifier.urihttp://hdl.handle.net/123456789/502529
dc.languageeng
dc.rightsopenAccess
dc.subjectImagem de satelite
dc.subjectReflectância
dc.subjectSensoriamento Remoto
dc.subjectVegetação Nativa
dc.subjectBiodiversidade
dc.subjectClima
dc.subjectRemote sensing
dc.subjectClimatic zones
dc.titleData of plant diversity, spectral reflectance at specie level and satellite spectral variables from the largest dry forest nucleus in South America.
dc.typeArtigo de periódico

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