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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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Autores principales: Samara e Silva Medeiros, Edna, Machado, Célia Cristina Clemente, Galvíncio, Josiclêda Domiciano, de Moura, Magna Soelma Beserra, de Araujo, Helder Farias Pereira
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6717164/
https://www.ncbi.nlm.nih.gov/pubmed/31489350
http://dx.doi.org/10.1016/j.dib.2019.104335
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author Samara e Silva Medeiros, Edna
Machado, Célia Cristina Clemente
Galvíncio, Josiclêda Domiciano
de Moura, Magna Soelma Beserra
de Araujo, Helder Farias Pereira
author_facet Samara e Silva Medeiros, Edna
Machado, Célia Cristina Clemente
Galvíncio, Josiclêda Domiciano
de Moura, Magna Soelma Beserra
de Araujo, Helder Farias Pereira
author_sort Samara e Silva Medeiros, Edna
collection PubMed
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].
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spelling pubmed-67171642019-09-05 Data of plant diversity, spectral reflectance at specie level and satellite spectral variables from the largest dry forest nucleus in South America Samara e Silva Medeiros, Edna Machado, Célia Cristina Clemente Galvíncio, Josiclêda Domiciano de Moura, Magna Soelma Beserra de Araujo, Helder Farias Pereira Data Brief Agricultural and Biological Science 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]. Elsevier 2019-07-29 /pmc/articles/PMC6717164/ /pubmed/31489350 http://dx.doi.org/10.1016/j.dib.2019.104335 Text en © 2019 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Agricultural and Biological Science
Samara e Silva Medeiros, Edna
Machado, Célia Cristina Clemente
Galvíncio, Josiclêda Domiciano
de Moura, Magna Soelma Beserra
de Araujo, Helder Farias Pereira
Data of plant diversity, spectral reflectance at specie level and satellite spectral variables from the largest dry forest nucleus in South America
title 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_short 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
topic Agricultural and Biological Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6717164/
https://www.ncbi.nlm.nih.gov/pubmed/31489350
http://dx.doi.org/10.1016/j.dib.2019.104335
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