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Registro Completo |
Biblioteca(s): |
Embrapa Mandioca e Fruticultura. |
Data corrente: |
18/02/2016 |
Data da última atualização: |
07/03/2016 |
Tipo da produção científica: |
Resumo em Anais de Congresso |
Autoria: |
MACHADO, C. de F.; LEDO, C. A. da S.; RITZINGER, R. |
Afiliação: |
CRISTINA DE FATIMA MACHADO, CNPMF; CARLOS ALBERTO DA SILVA LEDO, CNPMF; ROGERIO RITZINGER, CNPMF. |
Título: |
Caracterização física e química de frutos de acessos de Spondias SPP |
Ano de publicação: |
2015 |
Fonte/Imprenta: |
In: SIMPÓSIO DE RECURSOS GENÉTICOS PARA A AMÉRICA LATINA E CARIBE, 10., 2015, Bento Gonçalves. Recursos genéticos no século 21: de Vavilov a Svalbard. Anais... [s.l.]: Sociedade Brasileira de Recursos Genéticos, 2015. |
Idioma: |
Português |
Conteúdo: |
A caracterização de acessos tem sido realizada em coleções de germoplasma; para gerar informações sobre a descrição e a classificação do material conservado, com a finalidade de subsidiar os programas de melhoramento genético para identificar indivíduos desejáveis e quantificar a diversidade. |
Thesagro: |
Umbu. |
Thesaurus Nal: |
Spondias. |
Categoria do assunto: |
-- |
Marc: |
LEADER 00941nam a2200157 a 4500 001 2037667 005 2016-03-07 008 2015 bl uuuu u00u1 u #d 100 1 $aMACHADO, C. de F. 245 $aCaracterização física e química de frutos de acessos de Spondias SPP$h[electronic resource] 260 $aIn: SIMPÓSIO DE RECURSOS GENÉTICOS PARA A AMÉRICA LATINA E CARIBE, 10., 2015, Bento Gonçalves. Recursos genéticos no século 21: de Vavilov a Svalbard. Anais... [s.l.]: Sociedade Brasileira de Recursos Genéticos$c2015 520 $aA caracterização de acessos tem sido realizada em coleções de germoplasma; para gerar informações sobre a descrição e a classificação do material conservado, com a finalidade de subsidiar os programas de melhoramento genético para identificar indivíduos desejáveis e quantificar a diversidade. 650 $aSpondias 650 $aUmbu 700 1 $aLEDO, C. A. da S. 700 1 $aRITZINGER, R.
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Embrapa Mandioca e Fruticultura (CNPMF) |
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Registro Completo
Biblioteca(s): |
Embrapa Solos. |
Data corrente: |
05/11/2019 |
Data da última atualização: |
11/11/2021 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
A - 1 |
Autoria: |
PINHEIRO, H. S. K.; BARBOSA, T. P. R.; ANTUNES, M. A. H.; CARVALHO, D. C. de; NUMMER, A. R.; CARVALHO JUNIOR, W. de; CHAGAS, C. da S.; FERNANDES-FILHO, E. I.; PEREIRA, M. G. |
Afiliação: |
HELENA S. K. PINHEIRO, UFRRJ; THERESA P. R. BARBOSA, UFRRJ; MAURO A. H. ANTUNES, UFRRJ; DANIEL COSTA DE CARVALHO, UnB; ALEXIS R. NUMMER, UFRRJ; WALDIR DE CARVALHO JUNIOR, CNPS; CESAR DA SILVA CHAGAS, CNPS; ELPÍDIO I. FERNANDES-FILHO, UFV; MARCOS GERVASIO PEREIRA, UFRRJ. |
Título: |
Assessment of phytoecological variability by red-edge spectral indices and soil-landscape relationships. |
Ano de publicação: |
2019 |
Fonte/Imprenta: |
Remote Sensing, v. 11, n. 20, 2448, 2019. |
DOI: |
https://doi.org/10.3390/rs11202448 |
Idioma: |
Inglês |
Conteúdo: |
There is a relation of vegetation physiognomies with soil and geological conditions that can be represented spatially with the support of remote sensing data. The goal of this research was to map vegetation physiognomies in a mountainous area by using Sentinel-2 Multispectral Instrument (MSI) data and morphometrical covariates through data mining techniques. The research was based on red-edge (RE) bands, and indices, to classify phytophysiognomies at two taxonomic levels. The input data was pixel sampled based on field sample sites. Data mining procedures comprised covariate selection and supervised classification through the Random Forest model. Results showed the potential of bands 3, 5, and 6 to map phytophysiognomies for both seasons, as well as Green Chlorophyll (CLg) and SAVI indices. NDVI indices were important, particularly those calculated with bands 6, 7, 8, and 8A, which were placed at the RE position. The model performance showed reasonable success to Kappa index 0.72 and 0.56 for the first and fifth taxonomic level, respectively. The model presented confusion between Broadleaved dwarf-forest, Parkland Savanna, and Bushy grassland. Savanna formations occurred variably in the area while Bushy grasslands strictly occur in certain landscape positions. Broadleaved forests presented the best performance (first taxonomic level), and among its variation (fifth level) the model could precisely capture the pattern for those on deep soils from gneiss parent material. The approach was thus useful to capture intrinsic soil-plant relationships and its relation with remote sensing data, showing potential to map phytophysiognomies in two distinct taxonomic levels in poorly accessible areas. MenosThere is a relation of vegetation physiognomies with soil and geological conditions that can be represented spatially with the support of remote sensing data. The goal of this research was to map vegetation physiognomies in a mountainous area by using Sentinel-2 Multispectral Instrument (MSI) data and morphometrical covariates through data mining techniques. The research was based on red-edge (RE) bands, and indices, to classify phytophysiognomies at two taxonomic levels. The input data was pixel sampled based on field sample sites. Data mining procedures comprised covariate selection and supervised classification through the Random Forest model. Results showed the potential of bands 3, 5, and 6 to map phytophysiognomies for both seasons, as well as Green Chlorophyll (CLg) and SAVI indices. NDVI indices were important, particularly those calculated with bands 6, 7, 8, and 8A, which were placed at the RE position. The model performance showed reasonable success to Kappa index 0.72 and 0.56 for the first and fifth taxonomic level, respectively. The model presented confusion between Broadleaved dwarf-forest, Parkland Savanna, and Bushy grassland. Savanna formations occurred variably in the area while Bushy grasslands strictly occur in certain landscape positions. Broadleaved forests presented the best performance (first taxonomic level), and among its variation (fifth level) the model could precisely capture the pattern for those on deep soils from gneiss parent material. The a... Mostrar Tudo |
Thesagro: |
Conservação; Recurso Natural; Sensoriamento Remoto. |
Thesaurus NAL: |
Conservation areas; Remote sensing. |
Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/204270/1/Assessment-of-phytoecological-variability-by-red-edge-spectral-indices-and-soil-landscape-relationships-2019.pdf
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Marc: |
LEADER 02609naa a2200289 a 4500 001 2113915 005 2021-11-11 008 2019 bl uuuu u00u1 u #d 024 7 $ahttps://doi.org/10.3390/rs11202448$2DOI 100 1 $aPINHEIRO, H. S. K. 245 $aAssessment of phytoecological variability by red-edge spectral indices and soil-landscape relationships.$h[electronic resource] 260 $c2019 520 $aThere is a relation of vegetation physiognomies with soil and geological conditions that can be represented spatially with the support of remote sensing data. The goal of this research was to map vegetation physiognomies in a mountainous area by using Sentinel-2 Multispectral Instrument (MSI) data and morphometrical covariates through data mining techniques. The research was based on red-edge (RE) bands, and indices, to classify phytophysiognomies at two taxonomic levels. The input data was pixel sampled based on field sample sites. Data mining procedures comprised covariate selection and supervised classification through the Random Forest model. Results showed the potential of bands 3, 5, and 6 to map phytophysiognomies for both seasons, as well as Green Chlorophyll (CLg) and SAVI indices. NDVI indices were important, particularly those calculated with bands 6, 7, 8, and 8A, which were placed at the RE position. The model performance showed reasonable success to Kappa index 0.72 and 0.56 for the first and fifth taxonomic level, respectively. The model presented confusion between Broadleaved dwarf-forest, Parkland Savanna, and Bushy grassland. Savanna formations occurred variably in the area while Bushy grasslands strictly occur in certain landscape positions. Broadleaved forests presented the best performance (first taxonomic level), and among its variation (fifth level) the model could precisely capture the pattern for those on deep soils from gneiss parent material. The approach was thus useful to capture intrinsic soil-plant relationships and its relation with remote sensing data, showing potential to map phytophysiognomies in two distinct taxonomic levels in poorly accessible areas. 650 $aConservation areas 650 $aRemote sensing 650 $aConservação 650 $aRecurso Natural 650 $aSensoriamento Remoto 700 1 $aBARBOSA, T. P. R. 700 1 $aANTUNES, M. A. H. 700 1 $aCARVALHO, D. C. de 700 1 $aNUMMER, A. R. 700 1 $aCARVALHO JUNIOR, W. de 700 1 $aCHAGAS, C. da S. 700 1 $aFERNANDES-FILHO, E. I. 700 1 $aPEREIRA, M. G. 773 $tRemote Sensing$gv. 11, n. 20, 2448, 2019.
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