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| 122. |  | ROMEIRA, K. M.; ABDALLA, G.; GONÇALVES, R. P.; PEGORIN, G. S.; AZEREDO, H. M. C. de; MUSSAGY, C. U.; HERCULANO, R. D. Residual starch packaging derived from potato washing slurries to preserve fruits. Food and Bioprocess Technology, v. 14, p. 2248?2259, 2021.| Biblioteca(s): Embrapa Agroindústria Tropical. |
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| 123. | | OLIVEIRA, A. S.; NIRO, C. M.; BRESOLIN, J. D.; SOARES, V. F.; FERREIRA, M. D.; SIVIERI, K.; AZEREDO, H. M. C. de. Dehydrated strawberries for probiotic delivery: Influence of dehydration and probiotic incorporation methods. LWT. Food Science and Technology, v. 144, a. 111105, 2021. 1 - 10| Biblioteca(s): Embrapa Agroindústria Tropical; Embrapa Instrumentação. |
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| 124. | | SANTOS, D. de V.; GODOY, R. C. B. de; AZEREDO, H. M. C. de; AMORIM, T. da S.; SANTOS, B. S. dos. Desenvolvimento de extrato hidrossolúvel de soja com polpa de cajá. In: SEMINÁRIO DE INICIAÇÃO CIENTÍFICA, 13.; SEMANA DE PESQUISA E PÓS-GRADUAÇÃO, 9., 2007, Ilhéus. A pesquisa na UESC. Ilhéus: UESC, 2007.| Biblioteca(s): Embrapa Mandioca e Fruticultura. |
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| 125. | | PAULA, G. A.; BENEVIDES, N. M. B.; CUNHA, A. P.; OLIVEIRA, A. V. de; PINTO, A. M. B; MORAIS, J. P. S.; AZEREDO, H. M. C. de. Development and characterization of edible films from mixtures of k-carrageenan, i-carrageenan, and alginate. Food Hydrocolloids, v. 47, p. 140-145, 2015.| Biblioteca(s): Embrapa Agroindústria Tropical. |
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| 126. | | PEREIRA, P. H. F.; OLIVEIRA, T. I. S.; ROSA, M. de F.; CAVALCANTE, F. L.; MOATES, G. K.; WELLNER, N.; WALDRON, K. W.; AZEREDO, H. M. C. de. Pectin extraction from pomegranate peels with citric acid. International Journal of Biological Macromolecules, v. 88, p. 373-379, 2016.| Biblioteca(s): Embrapa Agroindústria Tropical. |
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| 128. | | JALES, K. A.; MAIA, G. A.; GARRUTI, D. dos S.; SOUZA NETO, M. A.; AZEREDO, H. M. C. de; BRITO, E. S. de. Otimização das condições de isolamento dos voláteis do headspace do maracujá amarelo por concentração a vácuo em Porapak Q. Alimentos e Nutrição, Araraquara, v.17, n.2, p.195-201, 2006.| Biblioteca(s): Embrapa Agroindústria Tropical. |
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| 130. | | MOREIRA, G. E. G.; COSTA, M. G. M.; SOUZA, A. C. R. de; BRITO, E. S. de; MEDEIROS, M. de F. D. de; AZEREDO, H. M. C. de. Physical properties of spray dried acerola pomace extract as affected by temperature and drying aids. Food Science and Technology / Lebensmittel-Wissenschaft + Technologie, v.42, n.2, p.641-645, 2009.| Biblioteca(s): Embrapa Agroindústria Tropical. |
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| 132. | | MCHUGH, T. H.; MATTOSO, L. H. C.; MOURA, M. R. de; AZEREDO, H. M. C. de; DOGAN, N.; AVENA-BUSTILLOS, R. J. Improved barrier, mechanical and thermal properties of hydrophilic edible films by incorporation of nanoparticles and nanofibers. In: INTERNATIONAL CONFERENCE ON ADVANCED MATERIALS - ICAM, 11.; ENCONTRO SBPMat, 8., 2009, Rio de Janeiro. Abstracts... Rio de Janeiro: SBPMat, 2009. 1 CD-ROM.| Biblioteca(s): Embrapa Instrumentação. |
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| 133. | | IKEDA, M.; CARVALHO, C. W. P. de; HELM, C. V.; AZEREDO, H. M. C. de; GODOY, R. C. B. de; RIBANI, R. H. Influence of Brazilian pine seed flour addition on rheological, chemical and sensory properties of gluten-free rice flour cakes. Ciência Rural [online]. 2018, vol.48, n.6, e20170732. Epub June 28, 2018.| Biblioteca(s): Embrapa Agroindústria de Alimentos; Embrapa Agroindústria Tropical; Embrapa Florestas. |
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| 136. | | AZEREDO, H. M. C. de; ARAÚJO, F. B. S. de; GARRUTI, D. dos S.; QUEIROZ, A. A. M.; PINTO, G. A. S. Stability of mango cubes preserved by hurdle technology. Ciência e Agrotecnologia, v. 29, n.2, mar./abr., p. 377 - 381, 2005.| Biblioteca(s): Embrapa Agroindústria Tropical. |
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| 140. | | AZEREDO, H. M. C. de; VRETTOU, C. K.; MOATES, G. K.; WELLNER, N.; CROSS, K.; PEREIRA, P. H. F.; WALDRON, K. W. Wheat straw hemicellulose films as affected by citric acid. Food Hydrocolloids, v. 50, p. 1-6, 2015.| Biblioteca(s): Embrapa Agroindústria Tropical. |
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| Registros recuperados : 173 | |
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Registro Completo
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Biblioteca(s): |
Embrapa Agrossilvipastoril. |
|
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 |
|
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
|
|
Marc: |
LEADER 02328naa a2200277 a 4500
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005 2016-10-19
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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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