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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2019
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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]. |
format | Online Article Text |
id | pubmed-6717164 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
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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