01531naa a2200277 a 450000100080000000500110000800800410001902400350006010000240009524501750011926000090029452006620030365000190096565000190098465000190100365000100102265000250103265000230105765300230108065300180110370000220112170000220114370000230116570000250118877300400121321136402019-10-30       2019    bl uuuu     u00u1 u    #d7 a10.1016/j.dib.2019.1043352DOI1 aMEDEIROS, E. S. e S  aData of plant diversity, spectral reflectance at specie level and satellite spectral variables from the largest dry forest nucleus in South Americah[electronic resource]  c2019  aThe 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?  aClimatic zones  aRemote sensing  aBiodiversidade  aClima  aSensoriamento Remoto  aVegetação Nativa  aImagem de satelite  aReflectância1 aMACHADO, C. C. C.1 aGALVÍNCIO, J. D.1 aMOURA, M. S. B. de1 aARAÚJO, H. F. P. de  tData in Briefgv. 25, p. 1-7, 2019.