Data of plant diversity, spectral reflectance at specie level and satellite spectral variables from the largest dry forest nucleus in South America
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 researche...
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2019-08-01
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| Series: | Data in Brief |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352340919306894 |
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doaj-a0ed50a2de474db590cca468a4fd20e22020-11-24T22:05:33ZengElsevierData in Brief2352-34092019-08-0125Data of plant diversity, spectral reflectance at specie level and satellite spectral variables from the largest dry forest nucleus in South AmericaEdna Samara e Silva Medeiros0Célia Cristina Clemente Machado1Josiclêda Domiciano Galvíncio2Magna Soelma Beserra de Moura3Helder Farias Pereira de Araujo4Universidade Federal da Paraíba, Campus II, Centro de Ciências Agrárias, Cep: 58.397.000, Areia, PB, Brazil; Corresponding author.Universidade Estadual da Paraíba, Campus V, Centro de Ciências Biológicas e Sociais Aplicadas, Cep: 58071-160, Cristo Redentor - João Pessoa, PB, BrazilUniversidade Federal de Pernambuco, Centro de Filosofia e Ciências Geográficas, Cep: 50.670901, Recife, PE, BrazilEmpresa Brasileira de Pesquisa Agropecuária, Centro de Pesquisa Agropecuária do Trópico Semiárido, Cep: 56.302970, Petrolina, PE, BrazilUniversidade Federal da Paraíba, Campus II, Centro de Ciências Agrárias, Cep: 58.397.000, Areia, PB, BrazilThe 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 sensinghttp://www.sciencedirect.com/science/article/pii/S2352340919306894 |
| collection |
DOAJ |
| language |
English |
| format |
Article |
| sources |
DOAJ |
| author |
Edna Samara e Silva Medeiros Célia Cristina Clemente Machado Josiclêda Domiciano Galvíncio Magna Soelma Beserra de Moura Helder Farias Pereira de Araujo |
| spellingShingle |
Edna Samara e Silva Medeiros Célia Cristina Clemente Machado Josiclêda Domiciano Galvíncio Magna Soelma Beserra de Moura Helder Farias Pereira de Araujo Data of plant diversity, spectral reflectance at specie level and satellite spectral variables from the largest dry forest nucleus in South America Data in Brief |
| author_facet |
Edna Samara e Silva Medeiros Célia Cristina Clemente Machado Josiclêda Domiciano Galvíncio Magna Soelma Beserra de Moura Helder Farias Pereira de Araujo |
| author_sort |
Edna Samara e Silva Medeiros |
| title |
Data of plant diversity, spectral reflectance at specie level and satellite spectral variables from the largest dry forest nucleus in South America |
| title_short |
Data of plant diversity, spectral reflectance at specie level and satellite spectral variables from the largest dry forest nucleus in South America |
| title_full |
Data of plant diversity, spectral reflectance at specie level and satellite spectral variables from the largest dry forest nucleus in South America |
| title_fullStr |
Data of plant diversity, spectral reflectance at specie level and satellite spectral variables from the largest dry forest nucleus in South America |
| title_full_unstemmed |
Data of plant diversity, spectral reflectance at specie level and satellite spectral variables from the largest dry forest nucleus in South America |
| title_sort |
data of plant diversity, spectral reflectance at specie level and satellite spectral variables from the largest dry forest nucleus in south america |
| publisher |
Elsevier |
| series |
Data in Brief |
| issn |
2352-3409 |
| publishDate |
2019-08-01 |
| description |
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 |
| url |
http://www.sciencedirect.com/science/article/pii/S2352340919306894 |
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