Data of plant diversity, spectral reflectance at specie level and satellite spectral variables from the largest dry forest nucleus in South America.

Detalhes bibliográficos
Autor(a) principal: MEDEIROS, E. S. e S
Data de Publicação: 2019
Outros Autores: MACHADO, C. C. C., GALVÍNCIO, J. D., MOURA, M. S. B. de, ARAÚJO, H. F. P. de
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
Texto Completo: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1113640
Resumo: 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?
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spelling Data of plant diversity, spectral reflectance at specie level and satellite spectral variables from the largest dry forest nucleus in South America.Imagem de sateliteReflectânciaSensoriamento RemotoVegetação NativaBiodiversidadeClimaRemote sensingClimatic zonesThe 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?Edna Samara e Silva Medeiros; Célia Cristina Clemente Machado; Josiclêda Domiciano Galvíncio; MAGNA SOELMA BESERRA DE MOURA, CPATSA; Helder Farias Pereira de Araujo.MEDEIROS, E. S. e SMACHADO, C. C. C.GALVÍNCIO, J. D.MOURA, M. S. B. deARAÚJO, H. F. P. de2019-10-30T18:13:43Z2019-10-30T18:13:43Z2019-10-3020192019-10-30T18:13:43Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleData in Brief, v. 25, p. 1-7, 2019.http://www.alice.cnptia.embrapa.br/alice/handle/doc/111364010.1016/j.dib.2019.104335enginfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPA2019-10-30T18:13:49Zoai:www.alice.cnptia.embrapa.br:doc/1113640Repositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestcg-riaa@embrapa.bropendoar:21542019-10-30T18:13:49Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)false
dc.title.none.fl_str_mv 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.
spellingShingle Data of plant diversity, spectral reflectance at specie level and satellite spectral variables from the largest dry forest nucleus in South America.
MEDEIROS, E. S. e S
Imagem de satelite
Reflectância
Sensoriamento Remoto
Vegetação Nativa
Biodiversidade
Clima
Remote sensing
Climatic zones
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.
author MEDEIROS, E. S. e S
author_facet MEDEIROS, E. S. e S
MACHADO, C. C. C.
GALVÍNCIO, J. D.
MOURA, M. S. B. de
ARAÚJO, H. F. P. de
author_role author
author2 MACHADO, C. C. C.
GALVÍNCIO, J. D.
MOURA, M. S. B. de
ARAÚJO, H. F. P. de
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Edna Samara e Silva Medeiros; Célia Cristina Clemente Machado; Josiclêda Domiciano Galvíncio; MAGNA SOELMA BESERRA DE MOURA, CPATSA; Helder Farias Pereira de Araujo.
dc.contributor.author.fl_str_mv MEDEIROS, E. S. e S
MACHADO, C. C. C.
GALVÍNCIO, J. D.
MOURA, M. S. B. de
ARAÚJO, H. F. P. de
dc.subject.por.fl_str_mv Imagem de satelite
Reflectância
Sensoriamento Remoto
Vegetação Nativa
Biodiversidade
Clima
Remote sensing
Climatic zones
topic Imagem de satelite
Reflectância
Sensoriamento Remoto
Vegetação Nativa
Biodiversidade
Clima
Remote sensing
Climatic zones
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?
publishDate 2019
dc.date.none.fl_str_mv 2019-10-30T18:13:43Z
2019-10-30T18:13:43Z
2019-10-30
2019
2019-10-30T18:13:43Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv Data in Brief, v. 25, p. 1-7, 2019.
http://www.alice.cnptia.embrapa.br/alice/handle/doc/1113640
10.1016/j.dib.2019.104335
identifier_str_mv Data in Brief, v. 25, p. 1-7, 2019.
10.1016/j.dib.2019.104335
url http://www.alice.cnptia.embrapa.br/alice/handle/doc/1113640
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.source.none.fl_str_mv reponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron:EMBRAPA
instname_str Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron_str EMBRAPA
institution EMBRAPA
reponame_str Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
collection Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
repository.name.fl_str_mv Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
repository.mail.fl_str_mv cg-riaa@embrapa.br
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