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| Registros recuperados : 11 | |
| 2. |  | RIBEIRO, A.; FERRAZ FILHO, A. C.; OLIVEIRA, E. B. de. Usos, importância econômica e perspectivas de mercado. In: REIS, C. F.; OLIVEIRA, E. B. de; SANTOS, A. M. (Ed.). Mogno-africano (Khaya spp.): atualidades e perspectivas do cultivo no Brasil. Brasília, DF: Embrapa, 2019. Cap. 2, p. 50-73.| Biblioteca(s): Embrapa Florestas. |
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| 3. | | OLIVEIRA, E. B. de; RIBEIRO, A.; FERRAZ FILHO, A. C.; REIS, C. A. F.; BARREIRA, S. Softwares para manejo de precisão e análise econômica de mogno-africano, em plantios puros e em ILPF. In: REIS, C. F.; OLIVEIRA, E. B. de; SANTOS, A. M. (Ed.). Mogno-africano (Khaya spp.): atualidades e perspectivas do cultivo no Brasil. Brasília, DF: Embrapa, 2019. Cap. 11, p. 266-286.| Biblioteca(s): Embrapa Florestas. |
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| 6. | | FERRAZ FILHO, A. C.; SCOLFORO, J. R. S.; OLIVEIRA, A. D. de; MELLO, J. M. de. Modeling growth and yield of loblolly pine stands under intensive management. Pesquisa Agropecuária Brasileira, Brasília, DF, v. 50, n. 8, p. 707-717, ago. 2015. Título em português: Modelagem do crescimento e da produção de povoamento de Pinus taeda sob manejo intensivo.| Biblioteca(s): Embrapa Unidades Centrais. |
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| 7. | | RIBEIRO, A.; FERRAZ FILHO, A. C.; SCOLFORO, J. R. S.; PÉLLICO NETTO, S.; MACHADO, S do A. Estrutura da distribuição diamétrica em plantio experimental de candeia (Eremanthus erythropappus (DC.) MacLeish). Ciência Florestal, Santa Maria, v. 24, n. 4, p. 1055-1065, out./dez. 2014.| Biblioteca(s): Embrapa Florestas. |
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| 8. | | SILVA, P. H. da; GOMIDE, L. R.; FIGUEIREDO, E. O.; CARVALHO, L. M. T. de; FERRAZ FILHO, A. C. Optimal selective logging regime and log landing location models: a case study in the Amazon forest. Acta Amazonica, Manaus, v. 48, n. 1, p. 18-27, 2018.| Biblioteca(s): Embrapa Acre. |
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| 9. | | FERRAZ FILHO, A. C.; SCOLFORO, J. R. S.; FERREIRA, M. Z.; MAESTRI, R.; ASSIS, A. L. de; OLIVEIRA, A. D. de; MELLO, J. M. de. Dominant height projection model with the addition of environmental variables. Cerne, Lavras, v. 17, n. 3, p. 427-433, jul./set. 2011.| Biblioteca(s): Embrapa Florestas. |
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| 10. | | OLIVEIRA, V. R. de; RIBEIRO, A.; PAREYN, F. G. C.; DRUMOND, M. A.; PORTO, D. D.; KIILL, L. H. P.; FERRAZ FILHO, A. C. The influence of clear-cut area size on forest regrowth: a case study in the dry tropical forests of Pernambuco, Brazil. Cerne, v. 29, n. 1, e-103165, 2023.| Biblioteca(s): Embrapa Semiárido. |
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| 11. | | RIBEIRO, A.; FERRAZ FILHO, A. C.; MELLO, J. M. de; FERREIRA, M. Z.; LISBOA, P. M. M.; SCOLFORO, J. R. S. Estratégias e metodologias de ajuste de modelos hipsométricos em plantios de Eucalyptus sp. Cerne, Lavras, v. 16, n. 1, p. 22-31, jan./mar. 2010.| Biblioteca(s): Embrapa Florestas. |
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| Registros recuperados : 11 | |
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Registro Completo
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Biblioteca(s): |
Embrapa Agrossilvipastoril. |
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Data corrente: |
19/10/2016 |
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Data da última atualização: |
19/10/2016 |
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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: |
DEMATTÊ, J. A. M.; TERRA, F. da S.; OTTO, R.; TOMA, R. S.; PEREIRA, L. H.; NASCIMENTO, A. F. do; BORTOLETTO, M. A. M. |
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Afiliação: |
José A. M. Demattê, USP-ESALQ; Fabrício da Silva Terra, UFVJM; Rafael Otto, USP-ESALQ; Raul Shiso Toma, UFC; Luiz Henrique Pereira, UNESP-IGCE; ALEXANDRE FERREIRA DO NASCIMENTO, CPAMT; Marco Antonio Melo Bortoletto, GRUPO CLEALCO. |
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Título: |
Assessment of sugarcane harvesting residue effects on soil spectral behavior |
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Ano de publicação: |
2016 |
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Fonte/Imprenta: |
Scientia Agricola, Piracicaba, v. 73, n. 2, p. 159-168, mar./abr., 2016 |
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ISSN: |
0103-9016 |
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DOI: |
http://dx.doi.org/10.1590/0103-9016-2014-0370 |
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Idioma: |
Português |
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Conteúdo: |
When the harvesting of sugarcane involves a mechanized process, plant residues remain on the soil surface, which makes proximal and remote sensing difficult to monitor. This study aimed to evaluate, under laboratory conditions, differences in the soil spectral behavior of surface layers Quartzipsamment and Hapludox soil classes due to increasing levels of sugarcane?s dry (DL) and green (GL) leaf cover on the soil. Soil cover was quantified by supervised classification of the digital images (photography) taken of the treatments. The spectral reflectance of the samples was obtained using the FieldSpec Pro (350 to 2500 nm). TM-Landsat bands were simulated and the Normalized Difference Vegetation Index (NDVI) and soil line were also determined. Soil cover ranged from 0 to 89 % for DL and 0 to 80 % for GL. Dry leaf covering affected the features of the following soil constituents: iron oxides (480, 530 and 900 nm) and kaolinite (2200 nm). Water absorption (1400 and 1900 nm) and chlorophyll (670 nm) were determinant in differentiating between bare soil and GL covering. Bands 3 and 4 and NDVI showed pronounced variations as regards differences in soil cover percentage for both DL and GL. The soil line allowed for discrimination of the bare soil from the covered soil (DL and GL). High resolution sensors from about 50 % of the DL or GL covering are expected to reveal differences in soil spectral behavior. Above this coverage percentage, soil assessment by remote sensing is impaired. |
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Palavras-Chave: |
NDVI; Soil line; Soil proximal sensing; Soil remote sensing; TM-Landsat. |
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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/148949/1/2016-cpamt-nascimento-surgane-residue-effects-soil.pdf
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Marc: |
LEADER 02328naa a2200277 a 4500
001 2055007
005 2016-10-19
008 2016 bl uuuu u00u1 u #d
022 $a0103-9016
024 7 $ahttp://dx.doi.org/10.1590/0103-9016-2014-0370$2DOI
100 1 $aDEMATTÊ, J. A. M.
245 $aAssessment of sugarcane harvesting residue effects on soil spectral behavior$h[electronic resource]
260 $c2016
520 $aWhen the harvesting of sugarcane involves a mechanized process, plant residues remain on the soil surface, which makes proximal and remote sensing difficult to monitor. This study aimed to evaluate, under laboratory conditions, differences in the soil spectral behavior of surface layers Quartzipsamment and Hapludox soil classes due to increasing levels of sugarcane?s dry (DL) and green (GL) leaf cover on the soil. Soil cover was quantified by supervised classification of the digital images (photography) taken of the treatments. The spectral reflectance of the samples was obtained using the FieldSpec Pro (350 to 2500 nm). TM-Landsat bands were simulated and the Normalized Difference Vegetation Index (NDVI) and soil line were also determined. Soil cover ranged from 0 to 89 % for DL and 0 to 80 % for GL. Dry leaf covering affected the features of the following soil constituents: iron oxides (480, 530 and 900 nm) and kaolinite (2200 nm). Water absorption (1400 and 1900 nm) and chlorophyll (670 nm) were determinant in differentiating between bare soil and GL covering. Bands 3 and 4 and NDVI showed pronounced variations as regards differences in soil cover percentage for both DL and GL. The soil line allowed for discrimination of the bare soil from the covered soil (DL and GL). High resolution sensors from about 50 % of the DL or GL covering are expected to reveal differences in soil spectral behavior. Above this coverage percentage, soil assessment by remote sensing is impaired.
653 $aNDVI
653 $aSoil line
653 $aSoil proximal sensing
653 $aSoil remote sensing
653 $aTM-Landsat
700 1 $aTERRA, F. da S.
700 1 $aOTTO, R.
700 1 $aTOMA, R. S.
700 1 $aPEREIRA, L. H.
700 1 $aNASCIMENTO, A. F. do
700 1 $aBORTOLETTO, M. A. M.
773 $tScientia Agricola, Piracicaba$gv. 73, n. 2, p. 159-168, mar./abr., 2016
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