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| Registros recuperados : 25 | |
| 3. |  | SANTOS, A. M.; MITJA, D.; CARVALHO, D. C. Extrato arbóreo nas pastagens: o caso da agricultura familiar (comunidade de Benfica, sul do Pará). In: CONGRESSO BRASILEIRO DA CIÊNCIA DAS PLANTAS DANINHAS, 25., 2006, Brasília, DF. Convivendo com as plantas daninhas: resumos. Brasília, DF: Sociedade Brasileira da Ciência das Plantas Daninhas: UnB: Embrapa Cerrados, 2006. p. 57| Biblioteca(s): Embrapa Cerrados. |
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| 5. | | CARVALHO, D. C. de; PEREIRA, M. G.; MENEZES, L. F. T. de. Aporte de biomassa e nutrientes por Allagoptera arenaria na restinga da Marambaia, Rio de Janeiro, RJ. Floresta, Curitiba, v. 44, n. 3, p. 349-358, jul./set. 2014.| Biblioteca(s): Embrapa Florestas. |
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| 7. | | CARVALHO, D. C. de; BIASI, L. A.; RIBAS, L. L. F.; TELLES, C. A.; ZANETTE, F. Embriogênese somática do caquizeiro. Revista Brasileira de Fruticultura, Jaboticabal, v.26, n.2, p.280-283, 2004.| Biblioteca(s): Embrapa Mandioca e Fruticultura. |
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| 9. | | BRAGA, T. V. S.; GUIMARÃES, T. M.; CARVALHO, D. C. de; BALDANI, V. L. D.; SILVA, E. M. R. Associação de bactérias fixadoras de nitrogênio em Allagoptera arenaria (Gomes) O. Kuntze na Restinga de Marambaia, RJ. In: JORNADA DE INICIAÇÃO CIENTÍFICA DA UNIVERSIDADE FEDERAL RURAL DO RIO DE JANEIRO, 18., 2008, Seropédica, RJ. Seropédica, RJ, 2008. Parceria: UFRRJ.| Biblioteca(s): Embrapa Agrobiologia. |
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| 10. | | CARVALHO, D. C. de; ALBUQUERQUE, M. C. de F. e.; CANEPPELE, M. A. B.; BRITO, J.; COSTA, J. Avaliação da resistência mecânica de grãos de milho via teste de impacto. Revista Brasileira de Engenharia Agrícola e Ambiental, v. 15, n. 6, p. 724-730, jul., 2011.| Biblioteca(s): Embrapa Algodão. |
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| 12. | | BORGES, V. S.; SANTIAGO, P. C.; LIMA, N. G. S.; COUTINHO, M. E.; ETEROVICK, P. C.; CARVALHO, D. C. Evolutionary significant units within populations of neotropical Broad-Snouted Caimans (Caiman latirostris, Daudin, 1802). Journal of Herpetology, v. 52, n. 3, p. 282-288, 2018.| Biblioteca(s): Embrapa Pantanal. |
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| 13. | | CARVALHO, D. C. F.; COSTA, A. M. da; VIANA, J. H. M.; SAMPAIO, J. L. D.; JARDIM, C. H. Caracterização física e química dos solos de voçorocas na porção norte da Bacia Hidrográfica do Rio Pandeiros, Minas Gerais. In: SIMPÓSIO MINEIRO DE CIÊNCIA DO SOLO, 4., 2017, Viçosa, MG. Solos no espaço e tempo: trajetórias e tendências: anais. Viçosa, MG: Universidade Federal de Viçosa, 2017. p. 368-370.| Biblioteca(s): Embrapa Milho e Sorgo. |
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| 14. | | GIÁCOMO, R. G.; CARVALHO, D. C. de; MARCOS, G. P.; SOUZA, A. B. de; GAUI, T. D. Florística e fitossociologia em áreas de campu sujo e cerrado SENSU STRICTO na estação ecológica de Pirapitinga-Mg. Ciência Florestal, Santa Maria, RS, v. 23, n. 1, p. 29-43, jan./mar. 2013.| Biblioteca(s): Embrapa Florestas. |
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| 17. | | GOIS, G. C.; CAMPOS, F. S.; ARAÚJO, C. A.; ARAUJO, G. G. L. de; CARVALHO, D. C. de O. Morfologia, produção e potencialidades na nutrição animal da melancia forrageira (Citrullus lanatus var. citroides): uma revisão. Revista de la Facultad de Medicina Veterinaria y Zootecnia, v. 70, n. 1, p. 107-124, 2023.| Biblioteca(s): Embrapa Semiárido. |
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| 18. | | CIPRIANI, H. N.; SALMAN, A. K. D.; ABREU, S. R de; LORGA, C. A. de F.; CARVALHO, D. C. T.; CRUZ, P. G. da. Caracterização do sombreamento de sistemas de integração pecuária-floresta em Porto Velho, Rondônia. In: CONGRESSO DE PLANTAÇÕES FLORESTAIS, 2023. Anais... Série Técnica IPEF, v. 26, n. 48, mai. 2023.| Biblioteca(s): Embrapa Rondônia. |
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| 19. | | FELIPE-SILVA, A.S; OLIVEIRA, D. A. A; CARVALHO, D. C. C.; PAIVA, S. R.; KUABARA, M. Y.; VALE FILHO, V. R. Caracterização genética do cão fila brasileiro por meio de marcadores micro-satélites. In: CONGRESSO BRASILEIRO DE RECURSOS GENÉTICOS; WORKSHOP EM BIOPROSPECÇÃO E CONSERVAÇÃO DE PLANTAS NATIVAS DO SEMI-ÁRIDO, 3.; WORKSHOP INTERNACIONAL SOBRE BIOENERGIA E MEIO AMBIENTE, 2010, Salvador. Bancos de germoplasma: descobrir a riqueza, garantir o futuro: anais. Brasília, DF: Embrapa Recursos Genéticos e Biotecnologia, 2010. CD-ROM| Biblioteca(s): Embrapa Recursos Genéticos e Biotecnologia. |
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| 20. | | SANTOS, G. L. dos; PEREIRA, M. G.; CONTO, T. de; CARVALHO, D. C. de; AMORIM, T. A. de; MENDONÇA, V. M. M.; MORAES, L. F. D. de. Influência da pedoforma na composição do banco de sementes em floresta secundária na Região de Mar de Morros, Pinheiral - RJ. Ciência Florestal, v. 27, n. 4, p. 1217-1228, out. 2017.| Biblioteca(s): Embrapa Agrobiologia. |
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| Registros recuperados : 25 | |
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Registro Completo
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Biblioteca(s): |
Embrapa Solos. |
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Data corrente: |
05/11/2019 |
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Data da última atualização: |
11/11/2021 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 1 |
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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. |
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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. |
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Título: |
Assessment of phytoecological variability by red-edge spectral indices and soil-landscape relationships. |
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Ano de publicação: |
2019 |
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Fonte/Imprenta: |
Remote Sensing, v. 11, n. 20, 2448, 2019. |
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DOI: |
https://doi.org/10.3390/rs11202448 |
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Idioma: |
Inglês |
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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 |
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Thesagro: |
Conservação; Recurso Natural; Sensoriamento Remoto. |
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Thesaurus NAL: |
Conservation areas; Remote sensing. |
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Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
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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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Embrapa Solos (CNPS) |
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