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 | Acesso ao texto completo restrito à biblioteca da Embrapa Florestas. Para informações adicionais entre em contato com cnpf.biblioteca@embrapa.br. |
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Registro Completo |
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Biblioteca(s): |
Embrapa Florestas. |
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Data corrente: |
10/07/2018 |
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Data da última atualização: |
10/07/2018 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
CANETTI, A.; GARRASTAZU, M. C.; MATTOS, P. P. de; BRAZ, E. M.; PELLICO NETTO, S. |
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Afiliação: |
Aline Canetti, Pós graduanda da UFPR; MARILICE CORDEIRO GARRASTAZU, CNPF; PATRICIA POVOA DE MATTOS, CNPF; EVALDO MUNOZ BRAZ, CNPF; Sylvio Pellico Netto, UFPR. |
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Título: |
Understanding multi-temporal urban forest cover using high resolution images. |
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Ano de publicação: |
2018 |
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Fonte/Imprenta: |
Urban Forestry & Urban Greening, v. 29, p. 106-112, Jan. 2018. |
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DOI: |
10.1016/j.ufug.2017.10.020 |
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Idioma: |
Inglês |
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Conteúdo: |
Urban forests offer city residents a better quality of life. They also act as barrier and filter to pollutants resulting from human activities. Mapping the distribution of forests in urban areas is therefore important for good urban planning. Currently, high resolution images are considered useful tools to quantify forested urban areas for large scale urban development. The objective of this work was to evaluate multi-temporal urban forest area changes over different land-use classes, using available high-resolution images obtained from different satellites. The municipality of Araucaria (Paraná State) was chosen as study area because it is a large industrial zone of southern Brazil. The effects on the forests within this municipality caused by the increase in human activities between 2005 and 2012 were determined using high resolution images (5 m). We recorded a reduction of 22.8% in the forests surrounding urban areas of the municipality, as a result of deforestation of 791 ha and plantation of only 251 ha. The utility, commercial and residential zones which are more crowded the areas of highest population density were those which showed the greatest loss of tree cover. Object-based classification accuracy using images from different satellites was sufficient to quantify the evolution of tree-cover over the studied period. |
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Palavras-Chave: |
Image processing; Object-based classification; Processamento de imagem. |
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Thesagro: |
Cobertura Vegetal; Floresta Urbana. |
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Thesaurus Nal: |
Urban forestry. |
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Categoria do assunto: |
K Ciência Florestal e Produtos de Origem Vegetal |
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Marc: |
LEADER 02122naa a2200253 a 4500
001 2093157
005 2018-07-10
008 2018 bl uuuu u00u1 u #d
024 7 $a10.1016/j.ufug.2017.10.020$2DOI
100 1 $aCANETTI, A.
245 $aUnderstanding multi-temporal urban forest cover using high resolution images.$h[electronic resource]
260 $c2018
520 $aUrban forests offer city residents a better quality of life. They also act as barrier and filter to pollutants resulting from human activities. Mapping the distribution of forests in urban areas is therefore important for good urban planning. Currently, high resolution images are considered useful tools to quantify forested urban areas for large scale urban development. The objective of this work was to evaluate multi-temporal urban forest area changes over different land-use classes, using available high-resolution images obtained from different satellites. The municipality of Araucaria (Paraná State) was chosen as study area because it is a large industrial zone of southern Brazil. The effects on the forests within this municipality caused by the increase in human activities between 2005 and 2012 were determined using high resolution images (5 m). We recorded a reduction of 22.8% in the forests surrounding urban areas of the municipality, as a result of deforestation of 791 ha and plantation of only 251 ha. The utility, commercial and residential zones which are more crowded the areas of highest population density were those which showed the greatest loss of tree cover. Object-based classification accuracy using images from different satellites was sufficient to quantify the evolution of tree-cover over the studied period.
650 $aUrban forestry
650 $aCobertura Vegetal
650 $aFloresta Urbana
653 $aImage processing
653 $aObject-based classification
653 $aProcessamento de imagem
700 1 $aGARRASTAZU, M. C.
700 1 $aMATTOS, P. P. de
700 1 $aBRAZ, E. M.
700 1 $aPELLICO NETTO, S.
773 $tUrban Forestry & Urban Greening$gv. 29, p. 106-112, Jan. 2018.
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Registro original: |
Embrapa Florestas (CNPF) |
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Biblioteca |
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Registro |
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Voltar
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Registro Completo
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Biblioteca(s): |
Embrapa Arroz e Feijão. |
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Data corrente: |
02/03/2018 |
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Data da última atualização: |
07/03/2018 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
B - 2 |
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Autoria: |
SILVA, A. G.; CANAVARI, M.; SIDALI, K. L. |
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Afiliação: |
ALUISIO GOULART SILVA, CNPAF; MAURIZIO CANAVARI, Università di Bologna; KATIA LAURA SIDALI, Free University of Bozen. |
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Título: |
A Technology Acceptance Model of common bean growers' intention to adopt Integrated Production in the Brazilian Central Region. |
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Ano de publicação: |
2017 |
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Fonte/Imprenta: |
Die Bodenkultur: Journal of Land Management, Food and Environment, v. 68, n. 3, p. 131-143, 2017. |
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ISSN: |
0006-5471 |
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DOI: |
doi.org/10.1515/boku-2017-0012 |
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Idioma: |
Inglês |
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Conteúdo: |
The Brazilian government encouraged the Integrated Production (IP) farming system adoption to mitigate the negative environmental impacts of intensive bean production in irrigated areas of the Brazilian savanna. By ensuring food-safety and the use of sustainable agricultural practices, IP may strengthen national agriculture competitiveness. Regardless of the government efforts to promote IP in the main agricultural regions and among the largest food growers, only few slowly adopted it. Therefore, studying the process of technology adoption is important to identify possible problems that could affect adoption and diffusion of this farming system. We applied a Technology Acceptance Model (TAM) to explain the adoption and use of IP by the common beans growers from one of the most important bean production regions in Brazil. Ninety-three interviews were administered to different actors involved in beans production. A Structural Equation Model (SEM) following a confirmatory factor analysis (CFA) was used to identify the relationship between factors. The findings suggest that respondents have positive perceptions toward adopting IP. Perceived usefulness has a positive impact on attitude, and attitudes affect behavioral intention. However, the proposed model only partially explains IP adoption intentions. |
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Thesagro: |
Adoção de inovações; Feijão; Pesquisa social; Produção Integrada; Transferência de tecnologia. |
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Thesaurus NAL: |
Innovation adoption; Integrated agricultural systems. |
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Categoria do assunto: |
B Sociologia Rural |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/173492/1/35161.pdf
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Marc: |
LEADER 02188naa a2200253 a 4500
001 2088455
005 2018-03-07
008 2017 bl uuuu u00u1 u #d
022 $a0006-5471
024 7 $adoi.org/10.1515/boku-2017-0012$2DOI
100 1 $aSILVA, A. G.
245 $aA Technology Acceptance Model of common bean growers' intention to adopt Integrated Production in the Brazilian Central Region.$h[electronic resource]
260 $c2017
520 $aThe Brazilian government encouraged the Integrated Production (IP) farming system adoption to mitigate the negative environmental impacts of intensive bean production in irrigated areas of the Brazilian savanna. By ensuring food-safety and the use of sustainable agricultural practices, IP may strengthen national agriculture competitiveness. Regardless of the government efforts to promote IP in the main agricultural regions and among the largest food growers, only few slowly adopted it. Therefore, studying the process of technology adoption is important to identify possible problems that could affect adoption and diffusion of this farming system. We applied a Technology Acceptance Model (TAM) to explain the adoption and use of IP by the common beans growers from one of the most important bean production regions in Brazil. Ninety-three interviews were administered to different actors involved in beans production. A Structural Equation Model (SEM) following a confirmatory factor analysis (CFA) was used to identify the relationship between factors. The findings suggest that respondents have positive perceptions toward adopting IP. Perceived usefulness has a positive impact on attitude, and attitudes affect behavioral intention. However, the proposed model only partially explains IP adoption intentions.
650 $aInnovation adoption
650 $aIntegrated agricultural systems
650 $aAdoção de inovações
650 $aFeijão
650 $aPesquisa social
650 $aProdução Integrada
650 $aTransferência de tecnologia
700 1 $aCANAVARI, M.
700 1 $aSIDALI, K. L.
773 $tDie Bodenkultur: Journal of Land Management, Food and Environment$gv. 68, n. 3, p. 131-143, 2017.
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Registro original: |
Embrapa Arroz e Feijão (CNPAF) |
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