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Registro Completo |
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Biblioteca(s): |
Embrapa Florestas. |
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Data corrente: |
08/06/2017 |
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Data da última atualização: |
11/07/2017 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
CADEMARTORI, P. H. G. de; STAFFORD, L.; BLANCHET, P.; MAGALHAES, W. L. E.; BOLZON DE MUNIZ, G. I. |
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Afiliação: |
Pedro Henrique Gonzalez de Cademartori, Doutorando da UFPR; Luc Stafford, Departement de Physique, Universite de Montreal; Pierre Blanchet, NSERC; WASHINGTON LUIZ ESTEVES MAGALHAES, CNPF; Graciela Ines Bolzon de Muniz, UFPR. |
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Título: |
Enhancing the water repellency of wood surfaces by atmospheric pressure cold plasma deposition of fluorocarbon film. |
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Ano de publicação: |
2017 |
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Fonte/Imprenta: |
RSC Advances, v. 7, n. 46, p. 29159-29169, Jun. 2017. |
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DOI: |
10.1039/c7ra03334f |
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Idioma: |
Inglês |
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Conteúdo: |
In this study, fluorocarbon thin filmsweredepositedonthe surfaceofwhite spruce andBrazilian cedarwoods via atmospheric pressure dielectric barrier discharge in the afterglow mode with octafluoropropane gas. A pretreatment with oxygen plasma was introduced before the thin film deposition to determine if this plasma condition could increase the wood nano/micro roughness, helping to improve the hydrophobicity of the surface. The optimal conditions of water repellency for both woods were examined in terms of their resistance to aging in controlled conditions. The water contact angle measurements showed a hydrophobic surface with a stable angle for both woods. X-ray photoelectron spectroscopy reveals the presence of CF, CF2 and CF3 functional groups after the Ar/C3F8 plasma, especially for longer treatments. The open-air system of the plasma reactor leads to the simultaneous fluorination and incorporation of oxygen-containing groups. The pre-treatment of oxygen plasma increases the wood roughness; however, the chemical attachment of oxygen molecules is more significant, negatively affecting the degree of repellency of the plasma-coated woods. On the other hand, the fluorocarbon deposition increases the wood roughness and creates a hydrophobic surface simultaneously. Even with partial defluorination after aging, both plasma-coated woods retain a similar degree of water repellency, which partially avoid chemical reorganization of their surface due to environmental exposure. |
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Palavras-Chave: |
Atmospheric plasma; Filme de fluorcarbono; Hydrophobic surface; Molhabilidade; Plasma a frio; Plasma atmosférico; Plasma treatment; Superfície hidrofóbica; Surface modification; Wetting. |
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Thesagro: |
Madeira. |
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Thesaurus Nal: |
Wood treatment. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/160655/1/2017-Washington-RCSA-Enhancing.pdf
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Marc: |
LEADER 02486naa a2200325 a 4500
001 2070623
005 2017-07-11
008 2017 bl uuuu u00u1 u #d
024 7 $a10.1039/c7ra03334f$2DOI
100 1 $aCADEMARTORI, P. H. G. de
245 $aEnhancing the water repellency of wood surfaces by atmospheric pressure cold plasma deposition of fluorocarbon film.$h[electronic resource]
260 $c2017
520 $aIn this study, fluorocarbon thin filmsweredepositedonthe surfaceofwhite spruce andBrazilian cedarwoods via atmospheric pressure dielectric barrier discharge in the afterglow mode with octafluoropropane gas. A pretreatment with oxygen plasma was introduced before the thin film deposition to determine if this plasma condition could increase the wood nano/micro roughness, helping to improve the hydrophobicity of the surface. The optimal conditions of water repellency for both woods were examined in terms of their resistance to aging in controlled conditions. The water contact angle measurements showed a hydrophobic surface with a stable angle for both woods. X-ray photoelectron spectroscopy reveals the presence of CF, CF2 and CF3 functional groups after the Ar/C3F8 plasma, especially for longer treatments. The open-air system of the plasma reactor leads to the simultaneous fluorination and incorporation of oxygen-containing groups. The pre-treatment of oxygen plasma increases the wood roughness; however, the chemical attachment of oxygen molecules is more significant, negatively affecting the degree of repellency of the plasma-coated woods. On the other hand, the fluorocarbon deposition increases the wood roughness and creates a hydrophobic surface simultaneously. Even with partial defluorination after aging, both plasma-coated woods retain a similar degree of water repellency, which partially avoid chemical reorganization of their surface due to environmental exposure.
650 $aWood treatment
650 $aMadeira
653 $aAtmospheric plasma
653 $aFilme de fluorcarbono
653 $aHydrophobic surface
653 $aMolhabilidade
653 $aPlasma a frio
653 $aPlasma atmosférico
653 $aPlasma treatment
653 $aSuperfície hidrofóbica
653 $aSurface modification
653 $aWetting
700 1 $aSTAFFORD, L.
700 1 $aBLANCHET, P.
700 1 $aMAGALHAES, W. L. E.
700 1 $aBOLZON DE MUNIZ, G. I.
773 $tRSC Advances$gv. 7, n. 46, p. 29159-29169, Jun. 2017.
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Registro original: |
Embrapa Florestas (CNPF) |
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Biblioteca |
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Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
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Registro Completo
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Biblioteca(s): |
Embrapa Agricultura Digital. |
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Data corrente: |
24/08/2022 |
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Data da última atualização: |
25/08/2022 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
B - 3 |
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Autoria: |
SANTOS, L. T. dos; WERNER, J. P. S.; REIS, A. A. dos; TORO, A. P. G.; ANTUNES, J. F. G.; COUTINHO, A. C.; LAMPARELLI, R. A. C.; MAGALHÃES, P. S. G.; ESQUERDO, J. C. D. M.; FIGUEIREDO, G. K. D. A. |
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Afiliação: |
FEAGRI/UNICAMP; FEAGRI/UNICAMP; UNICAMP; FEAGRI/UNICAMP; JOAO FRANCISCO GONCALVES ANTUNES, CNPTIA; ALEXANDRE CAMARGO COUTINHO, CNPTIA; UNICAMP; UNICAMP; JULIO CESAR DALLA MORA ESQUERDO, CNPTIA, FEAGRI/UNICAMP; FEAGRI/UNICAMP. |
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Título: |
Multitemporal segmentation of Sentinel-2 images in an agricultural intensification region in Brazil. |
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Ano de publicação: |
2022 |
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Fonte/Imprenta: |
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, v. V-3-2022, p. 389-395, 2022. |
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DOI: |
https://doi.org/10.5194/isprs-annals-V-3-2022-389-2022 |
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Idioma: |
Inglês |
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Notas: |
Edition of proceedings of the 2022 edition of the XXIVth ISPRS Congress, Nice, France. |
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Conteúdo: |
ABSTRACT: With the recent evolution in the sensor's spatial resolution, such as the MultiSpectral Imager (MSI) of the Sentinel-2 mission, the need to use segmentation techniques in satellite images has increased. Although the advantages of image segmentation to delineate agricultural fields in images are already known, the literature shows that it is rarely used to consider temporal changes in highly managed regions with the intensification of agricultural activities. Therefore, this work aimed to evaluate a multitemporal segmentation method based on the coefficient of variation of spectral bands and vegetation indices obtained from Sentinel-2 images, considering two agricultural years (2018-2019 and 2019-2020) in an area with agricultural intensification. Images of the coefficient of variation represented the spectro-temporal dynamics within the study area. These images were also used to apply an edge detection filter (Sobel) to verify their performance. The region-based algorithm Watershed Segmentation (WS) was used in the segmentation process. Subsequently, to assess the quality of the segmentation results produced, the metrics Potential Segmentation Error (PSE), Number-of-Segments Ratio (NSR), and Euclidean Distance 2 (ED2) were calculated from manually delineated reference objects. The segmentation achieved its best performance when applied to the unfiltered coefficient of variation images of spectral bands with an ED2 equal to 7.289 and 2.529 for 2018-2019 and 2019-2020, respectively. There was a tendency for the WS algorithm to produce over-segmentation in the study area; however, its use proved to be effective in identifying objects in a dynamic area with the intensification of agricultural activities. MenosABSTRACT: With the recent evolution in the sensor's spatial resolution, such as the MultiSpectral Imager (MSI) of the Sentinel-2 mission, the need to use segmentation techniques in satellite images has increased. Although the advantages of image segmentation to delineate agricultural fields in images are already known, the literature shows that it is rarely used to consider temporal changes in highly managed regions with the intensification of agricultural activities. Therefore, this work aimed to evaluate a multitemporal segmentation method based on the coefficient of variation of spectral bands and vegetation indices obtained from Sentinel-2 images, considering two agricultural years (2018-2019 and 2019-2020) in an area with agricultural intensification. Images of the coefficient of variation represented the spectro-temporal dynamics within the study area. These images were also used to apply an edge detection filter (Sobel) to verify their performance. The region-based algorithm Watershed Segmentation (WS) was used in the segmentation process. Subsequently, to assess the quality of the segmentation results produced, the metrics Potential Segmentation Error (PSE), Number-of-Segments Ratio (NSR), and Euclidean Distance 2 (ED2) were calculated from manually delineated reference objects. The segmentation achieved its best performance when applied to the unfiltered coefficient of variation images of spectral bands with an ED2 equal to 7.289 and 2.529 for 2018-2019 and 2019-202... Mostrar Tudo |
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Palavras-Chave: |
AssesSeg; Coefficient of variation; Coeficiente de variação; Detecção de bordas; Edge detection; Índice de vegetação; Intensificação agrícola; OBIA; Segmentação de bacias hidrográficas; Sobel; Watershed segmentation. |
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Thesaurus NAL: |
Vegetation index. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/1145716/1/AP-Multitemporal-segmentation-Sentinel2-2022.pdf
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Marc: |
LEADER 03126naa a2200397 a 4500
001 2145716
005 2022-08-25
008 2022 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.5194/isprs-annals-V-3-2022-389-2022$2DOI
100 1 $aSANTOS, L. T. dos
245 $aMultitemporal segmentation of Sentinel-2 images in an agricultural intensification region in Brazil.$h[electronic resource]
260 $c2022
500 $aEdition of proceedings of the 2022 edition of the XXIVth ISPRS Congress, Nice, France.
520 $aABSTRACT: With the recent evolution in the sensor's spatial resolution, such as the MultiSpectral Imager (MSI) of the Sentinel-2 mission, the need to use segmentation techniques in satellite images has increased. Although the advantages of image segmentation to delineate agricultural fields in images are already known, the literature shows that it is rarely used to consider temporal changes in highly managed regions with the intensification of agricultural activities. Therefore, this work aimed to evaluate a multitemporal segmentation method based on the coefficient of variation of spectral bands and vegetation indices obtained from Sentinel-2 images, considering two agricultural years (2018-2019 and 2019-2020) in an area with agricultural intensification. Images of the coefficient of variation represented the spectro-temporal dynamics within the study area. These images were also used to apply an edge detection filter (Sobel) to verify their performance. The region-based algorithm Watershed Segmentation (WS) was used in the segmentation process. Subsequently, to assess the quality of the segmentation results produced, the metrics Potential Segmentation Error (PSE), Number-of-Segments Ratio (NSR), and Euclidean Distance 2 (ED2) were calculated from manually delineated reference objects. The segmentation achieved its best performance when applied to the unfiltered coefficient of variation images of spectral bands with an ED2 equal to 7.289 and 2.529 for 2018-2019 and 2019-2020, respectively. There was a tendency for the WS algorithm to produce over-segmentation in the study area; however, its use proved to be effective in identifying objects in a dynamic area with the intensification of agricultural activities.
650 $aVegetation index
653 $aAssesSeg
653 $aCoefficient of variation
653 $aCoeficiente de variação
653 $aDetecção de bordas
653 $aEdge detection
653 $aÍndice de vegetação
653 $aIntensificação agrícola
653 $aOBIA
653 $aSegmentação de bacias hidrográficas
653 $aSobel
653 $aWatershed segmentation
700 1 $aWERNER, J. P. S.
700 1 $aREIS, A. A. dos
700 1 $aTORO, A. P. G.
700 1 $aANTUNES, J. F. G.
700 1 $aCOUTINHO, A. C.
700 1 $aLAMPARELLI, R. A. C.
700 1 $aMAGALHÃES, P. S. G.
700 1 $aESQUERDO, J. C. D. M.
700 1 $aFIGUEIREDO, G. K. D. A.
773 $tISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences$gv. V-3-2022, p. 389-395, 2022.
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Embrapa Agricultura Digital (CNPTIA) |
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