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Registro Completo |
Biblioteca(s): |
Embrapa Agrobiologia. |
Data corrente: |
29/01/2009 |
Data da última atualização: |
16/03/2015 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Autoria: |
JANTALIA, C. P.; SANTOS, H. P.; ALVES, B. J. R. |
Afiliação: |
Cláudia Pozzi Jantalia, Embrapa Agrobiologia; H.P. Santos, Embrapa Trigo; Bruno José Eodrigues Alves, Embrapa Agrobiologia. |
Título: |
Fluxes of nitrous oxide from soil under different crop rotations and tillage systems in the south of Brasil. |
Ano de publicação: |
2008 |
Fonte/Imprenta: |
Nutrient Cycling in Agroecosystems, v, 82, p. 161-173, 2008. |
ISSN: |
1519-8928 |
Idioma: |
Inglês |
Notas: |
Parceria: Embrapa Trigo. |
Conteúdo: |
The aim of this study was to estimate the emission of N2O from cropping systems under conventional and zero tillage in an 18-year-old experiment conducted on a Rhodic Ferralsol in the South of Brazil. Fluxes of N2O were measured over two years using static-closed chambers in the two tillage systems with three crop rotations. |
Palavras-Chave: |
Fixação biológica de nitrogênio. |
Thesagro: |
Soja. |
Categoria do assunto: |
-- |
Marc: |
LEADER 00922naa a2200193 a 4500 001 1630365 005 2015-03-16 008 2008 bl --- 0-- u #d 022 $a1519-8928 100 1 $aJANTALIA, C. P. 245 $aFluxes of nitrous oxide from soil under different crop rotations and tillage systems in the south of Brasil. 260 $c2008 500 $aParceria: Embrapa Trigo. 520 $aThe aim of this study was to estimate the emission of N2O from cropping systems under conventional and zero tillage in an 18-year-old experiment conducted on a Rhodic Ferralsol in the South of Brazil. Fluxes of N2O were measured over two years using static-closed chambers in the two tillage systems with three crop rotations. 650 $aSoja 653 $aFixação biológica de nitrogênio 700 1 $aSANTOS, H. P. 700 1 $aALVES, B. J. R. 773 $tNutrient Cycling in Agroecosystems, v, 82, p. 161-173, 2008.
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| Acesso ao texto completo restrito à biblioteca da Embrapa Semiárido. Para informações adicionais entre em contato com cpatsa.biblioteca@embrapa.br. |
Registro Completo
Biblioteca(s): |
Embrapa Semiárido. |
Data corrente: |
03/01/2023 |
Data da última atualização: |
03/01/2023 |
Tipo da produção científica: |
Capítulo em Livro Técnico-Científico |
Autoria: |
BARMPOUTIS, P.; STATHAKI, T.; LLOYD, J.; MOURA, M. S. B. de. |
Afiliação: |
PANAGIOTIS BARMPOUTIS, Imperial College London, UK; TANIA STATHAKI, Imperial College London, UK; JONATHAN LLOYD, Imperial College London, UK; MAGNA SOELMA BESERRA DE MOURA, CPATSA. |
Título: |
Tropical tree species 3D modelling and classification based on LiDAR technology. |
Ano de publicação: |
2022 |
Fonte/Imprenta: |
In: INFORMATION RESOURCES MANAGEMENT ASSOCIATION. Research anthology on ecosystem conservation and preserving biodiversity. Pensilvânia: IGI Global: Engineering Science Reference, 2022. |
Páginas: |
cap. 17, p. 326-346. |
DOI: |
10.4018/978-1-6684-5678-1.ch017 |
Idioma: |
Inglês |
Conteúdo: |
Over the last decade or so, laser scanning technology has become an increasingly popular and important tool for forestry inventory, enabling accurate capture of 3D information in a fast and environmentally friendly manner. To this end, the authors propose here a system for tropical tree species classification based on 3D scans of LiDAR sensing technology. In order to exploit the interrelated patterns of trees, skeleton representations of tree point clouds are extracted, and their structures are divided into overlap- ping equal-sized 3D segments. Subsequently, they represent them as third-order sparse structure tensors setting the value of skeleton coordinates equal to one. Based on the higher-order tensor decomposition of each sparse segment, they 1) estimate the mode-n singular values extracting intra-correlations of tree branches and 2) model tropical trees as linear dynamical systems extracting appearance information and dynamics. The proposed methodology was evaluated in tropical tree species and specifically in a dataset consisting of 26 point clouds of common Caatinga dry-forest trees. |
Palavras-Chave: |
Árvores tropicais; Tecnologia de detecção LiDAR; Uso Sustentável. |
Thesagro: |
Biodiversidade; Caatinga; Desenvolvimento Sustentável; Ecologia; Floresta; Inventário Florestal. |
Thesaurus NAL: |
Forestry; Natural resources; Natural resources conservation; Sustainable development. |
Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
Marc: |
LEADER 02252naa a2200337 a 4500 001 2150588 005 2023-01-03 008 2022 bl uuuu u00u1 u #d 024 7 $a10.4018/978-1-6684-5678-1.ch017$2DOI 100 1 $aBARMPOUTIS, P. 245 $aTropical tree species 3D modelling and classification based on LiDAR technology.$h[electronic resource] 260 $c2022 300 $acap. 17, p. 326-346. 520 $aOver the last decade or so, laser scanning technology has become an increasingly popular and important tool for forestry inventory, enabling accurate capture of 3D information in a fast and environmentally friendly manner. To this end, the authors propose here a system for tropical tree species classification based on 3D scans of LiDAR sensing technology. In order to exploit the interrelated patterns of trees, skeleton representations of tree point clouds are extracted, and their structures are divided into overlap- ping equal-sized 3D segments. Subsequently, they represent them as third-order sparse structure tensors setting the value of skeleton coordinates equal to one. Based on the higher-order tensor decomposition of each sparse segment, they 1) estimate the mode-n singular values extracting intra-correlations of tree branches and 2) model tropical trees as linear dynamical systems extracting appearance information and dynamics. The proposed methodology was evaluated in tropical tree species and specifically in a dataset consisting of 26 point clouds of common Caatinga dry-forest trees. 650 $aForestry 650 $aNatural resources 650 $aNatural resources conservation 650 $aSustainable development 650 $aBiodiversidade 650 $aCaatinga 650 $aDesenvolvimento Sustentável 650 $aEcologia 650 $aFloresta 650 $aInventário Florestal 653 $aÁrvores tropicais 653 $aTecnologia de detecção LiDAR 653 $aUso Sustentável 700 1 $aSTATHAKI, T. 700 1 $aLLOYD, J. 700 1 $aMOURA, M. S. B. de 773 $tIn: INFORMATION RESOURCES MANAGEMENT ASSOCIATION. Research anthology on ecosystem conservation and preserving biodiversity. Pensilvânia: IGI Global: Engineering Science Reference, 2022.
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