Data of plant diversity, spectral reflectance at specie level and satellite spectral variables from the largest dry forest nucleus in South America
Edna Samara e Silva Medeiros,
Célia Cristina Clemente Machado,
Josiclêda Domiciano Galvíncio,
Magna Soelma Beserra de Moura,
Helder Farias Pereira de Araujo
Affiliations
Edna Samara e Silva Medeiros
Universidade Federal da Paraíba, Campus II, Centro de Ciências Agrárias, Cep: 58.397.000, Areia, PB, Brazil; Corresponding author.
Célia Cristina Clemente Machado
Universidade Estadual da Paraíba, Campus V, Centro de Ciências Biológicas e Sociais Aplicadas, Cep: 58071-160, Cristo Redentor - João Pessoa, PB, Brazil
Josiclêda Domiciano Galvíncio
Universidade Federal de Pernambuco, Centro de Filosofia e Ciências Geográficas, Cep: 50.670901, Recife, PE, Brazil
Magna Soelma Beserra de Moura
Empresa Brasileira de Pesquisa Agropecuária, Centro de Pesquisa Agropecuária do Trópico Semiárido, Cep: 56.302970, Petrolina, PE, Brazil
Helder Farias Pereira de Araujo
Universidade Federal da Paraíba, Campus II, Centro de Ciências Agrárias, Cep: 58.397.000, Areia, PB, Brazil
The 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” [1]. Keywords: Richness, Reflectance, Remote sensing
