Registro Completo |
Biblioteca(s): |
Embrapa Semiárido. |
Data corrente: |
30/10/2019 |
Data da última atualização: |
30/10/2019 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Autoria: |
MEDEIROS, E. S. e S; MACHADO, C. C. C.; GALVÍNCIO, J. D.; MOURA, M. S. B. de; ARAÚJO, H. F. P. de. |
Afiliação: |
Edna Samara e Silva Medeiros; Célia Cristina Clemente Machado; Josiclêda Domiciano Galvíncio; MAGNA SOELMA BESERRA DE MOURA, CPATSA; Helder Farias Pereira de Araujo. |
Título: |
Data of plant diversity, spectral reflectance at specie level and satellite spectral variables from the largest dry forest nucleus in South America |
Ano de publicação: |
2019 |
Fonte/Imprenta: |
Data in Brief, v. 25, p. 1-7, 2019. |
DOI: |
10.1016/j.dib.2019.104335 |
Idioma: |
Inglês |
Conteúdo: |
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? |
Palavras-Chave: |
Imagem de satelite; Reflectância. |
Thesagro: |
Biodiversidade; Clima; Sensoriamento Remoto; Vegetação Nativa. |
Thesaurus Nal: |
Climatic zones; Remote sensing. |
Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/203917/1/Data-of-plant-diversity-2019.pdf
|
Marc: |
LEADER 01531naa a2200277 a 4500 001 2113640 005 2019-10-30 008 2019 bl uuuu u00u1 u #d 024 7 $a10.1016/j.dib.2019.104335$2DOI 100 1 $aMEDEIROS, E. S. e S 245 $aData of plant diversity, spectral reflectance at specie level and satellite spectral variables from the largest dry forest nucleus in South America$h[electronic resource] 260 $c2019 520 $aThe 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? 650 $aClimatic zones 650 $aRemote sensing 650 $aBiodiversidade 650 $aClima 650 $aSensoriamento Remoto 650 $aVegetação Nativa 653 $aImagem de satelite 653 $aReflectância 700 1 $aMACHADO, C. C. C. 700 1 $aGALVÍNCIO, J. D. 700 1 $aMOURA, M. S. B. de 700 1 $aARAÚJO, H. F. P. de 773 $tData in Brief$gv. 25, p. 1-7, 2019.
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Registro original: |
Embrapa Semiárido (CPATSA) |