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Biblioteca(s): |
Embrapa Trigo. |
Data corrente: |
02/12/2019 |
Data da última atualização: |
02/12/2019 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Autoria: |
NUNES, M. R.; KARLEN, D. L.; DENARDIN, J. E.; CAMBARDELLA, C. A. |
Afiliação: |
MÁRCIO R. NUNES, USDA; DOUGLAS L. KARLEN, USDA; JOSE ELOIR DENARDIN, CNPT; CYNTHIA A. CAMBARDELLA, USDA. |
Título: |
Corn root and soil health indicator response to no-till production practices. |
Ano de publicação: |
2019 |
Fonte/Imprenta: |
Agriculture, Ecosystems & Environment, v. 285, 106607, Dec. 2019. |
DOI: |
10.1016/j.agee.2019.106607 |
Idioma: |
Inglês |
Thesagro: |
Carbono; Compactação do Solo; Conservação do Solo; Estrutura do Solo. |
Thesaurus Nal: |
Root growth; Soil compaction; Soil organic carbon; Soil quality; Soil structure. |
Categoria do assunto: |
-- |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/205965/1/ID44791-2019v285AgricEcosEnviron106607.pdf
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Marc: |
LEADER 00806naa a2200265 a 4500 001 2115713 005 2019-12-02 008 2019 bl uuuu u00u1 u #d 024 7 $a10.1016/j.agee.2019.106607$2DOI 100 1 $aNUNES, M. R. 245 $aCorn root and soil health indicator response to no-till production practices.$h[electronic resource] 260 $c2019 650 $aRoot growth 650 $aSoil compaction 650 $aSoil organic carbon 650 $aSoil quality 650 $aSoil structure 650 $aCarbono 650 $aCompactação do Solo 650 $aConservação do Solo 650 $aEstrutura do Solo 700 1 $aKARLEN, D. L. 700 1 $aDENARDIN, J. E. 700 1 $aCAMBARDELLA, C. A. 773 $tAgriculture, Ecosystems & Environment$gv. 285, 106607, Dec. 2019.
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Embrapa Trigo (CNPT) |
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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. |
Registro Completo
Biblioteca(s): |
Embrapa Florestas. |
Data corrente: |
10/07/2018 |
Data da última atualização: |
10/07/2018 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
A - 1 |
Autoria: |
CANETTI, A.; GARRASTAZU, M. C.; MATTOS, P. P. de; BRAZ, E. M.; PELLICO NETTO, S. |
Afiliação: |
Aline Canetti, Pós graduanda da UFPR; MARILICE CORDEIRO GARRASTAZU, CNPF; PATRICIA POVOA DE MATTOS, CNPF; EVALDO MUNOZ BRAZ, CNPF; Sylvio Pellico Netto, UFPR. |
Título: |
Understanding multi-temporal urban forest cover using high resolution images. |
Ano de publicação: |
2018 |
Fonte/Imprenta: |
Urban Forestry & Urban Greening, v. 29, p. 106-112, Jan. 2018. |
DOI: |
10.1016/j.ufug.2017.10.020 |
Idioma: |
Inglês |
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. |
Palavras-Chave: |
Image processing; Object-based classification; Processamento de imagem. |
Thesagro: |
Cobertura Vegetal; Floresta Urbana. |
Thesaurus NAL: |
Urban forestry. |
Categoria do assunto: |
K Ciência Florestal e Produtos de Origem Vegetal |
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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