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| Registros recuperados : 24 | |
| 2. |  | VICENTE, L. E.; LOEBMANN, D. G. dos S. W.; VICTORIA, D. de C.; KOGA-VICENTE, A. Monitoring of agricultural land use in São Paulo State - Brazil using geotechnology approach. In: INTERNATIONAL CONSORTIUM ON APPLIED BIOECONOMY RESEARCH, 16.; SEMINAR EAAE, 128., 2012, Ravello, Italy. Anais... Ravello: CABR, 2012. 14 p.| Biblioteca(s): Embrapa Territorial. |
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| 5. | | ROGGIA, S.; BUENO, A. de F.; OLIVEIRA, M. C. N. de; GREGO, C. R.; KOGA-VICENTE, A.; VICENTE, L. E. Aplicação localizada de parasitoide de ovos e inseticida químico para o manejo do percevejo Euschistus heros em soja. In: CONGRESSO BRASILEIRO DE SOJA, 9., 2022, Foz do Iguaçu. Desafios para a produtividade sustentável no Mercosul: resumos. Brasília, DF: Embrapa, 2022. p. 98.| Biblioteca(s): Embrapa Meio Ambiente. |
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| 8. | | PORTINHO, J. L.; GOMES, A. C. C.; KOGA-VICENTE, A.; MILANI, F. C. C.; PENTEAN, R. P.; MANZATTO, C. V.; ARAUJO, L. S. de; VICENTE, L. E. The pathways influence of agricultural expansion on water quality of fish farming in Ilha Solteira reservoir, São Paulo, Brazil. Aquaculture, v. 536, article 736405, 2021.| Biblioteca(s): Embrapa Meio Ambiente. |
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| 9. | | ALFONSI, W. M. V.; COLTRI, P. P.; ZULLO JÚNIOR, J.; PATRÍCIO, F. R. A.; GONÇALVES, R. R. do V.; SHINJI, K.; ALFONSI, E. L.; KOGA-VICENTE, A. Geographical distribution of the incubation period of coffee leaf rust in climate change scenarios. Pesquisa Agropecuária Brasileira, Brasília, v. 54, e00273, jan.-dez. 2019. Título em português: Distribuição geográfica do período de incubação da ferrugem do cafeeiro em cenários de mudanças climáticas.| Biblioteca(s): Embrapa Unidades Centrais. |
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| 10. | | GAROFALO, D. F. T.; KONDO, V. Y.; VICENTE, L. E.; SILVA, M. G. da; KOGA-VICENTE, A.; RAMOS, N. P.; PACKER, A. P. Pre-harvesting biomass burning for sugarcane crop: comparing emission factors for realist results. In: SIMPÓSIO BRASILEIRO DE SENSORIAMENTO REMOTO, 19., 2019, Santos. Anais... São José dos Campos: INPE, 2019. Ref. 96710. p. 1-4.| Biblioteca(s): Embrapa Meio Ambiente. |
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| 11. | | PORTINHO, J. L.; GOMES, A. C. C.; KOGA-VICENTE, A.; MANZATTO, C. V.; MILANI, F. C. C.; ARAUJO, L. S. de; VICENTE, L. E. An interactive webgis platform for enhanced support of integrated environmental management of aquaculture In: SIMPÓSIO BRASILEIRO DE SENSORIAMENTO REMOTO, 19., 2019, Santos. Anais... São José dos Campos: INPE, 2019. Artigo 96069. p. 1-4.| Biblioteca(s): Embrapa Meio Ambiente. |
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| 12. | | VICENTE, L. E.; SILVA, A. F. da; BUENO, A. de F.; KOGA-VICENTE, A.; ARAUJO, L. S. de; MACIEL, R. M. A.; ROGGIA, S. Dados hiperespectrais de variedades de soja sob diferentes tempos de ataque do percevejo Euschistus heros. In: SIMPÓSIO BRASILEIRO DE SENSORIAMENTO REMOTO, 20., 2023, Florianópolis. Anais [...]. São José dos Campos: Instituto Nacional de Pesquisas Espaciais, 2023. Ref. 155756. p. 960-963.| Biblioteca(s): Embrapa Meio Ambiente; Embrapa Soja. |
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| 13. | | PEROSA, B. B.; MANZATTO, C. V.; VICENTE, L. E.; KOGA-VICENTE, A.; ARAUJO, L. S. de; ASSAD, E. D.; GURGEL, A. Emissões de gases do efeito estufa pela agricultura de baixa emissão de carbono. Agroanalysis, v. 40, n. 5, p. 29-31, maio 2020.| Biblioteca(s): Embrapa Agricultura Digital. |
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| 14. | | PEROSA, B. B.; MANZATTO, C. V.; VICENTE, L. E.; KOGA-VICENTE, A.; ARAUJO, L. S. de; ASSAD, E. D.; GURGEL, A. da C. Emissões de gases do efeito estufa pela agricultura de baixa emissão de carbono. Agroanalysis, v. 40, n. 5, p. 29-31, mai. 2020.| Biblioteca(s): Embrapa Meio Ambiente. |
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| 15. | | KOGA-VICENTE, A.; VICENTE, L. E.; ROGGIA, S.; ARAUJO, L. S. de; CRECCI, C. V.; SILVA, A. F. da; GUERRERO, J. V. Elaboração de biblioteca espectral de soja (Glycine max) em ambiente de rede colaborativa utilizando o sistema AgroTag. In: SIMPÓSIO BRASILEIRO DE SENSORIAMENTO REMOTO, 20., 2023, Florianópolis. Anais [...]. São José dos Campos: Instituto Nacional de Pesquisas Espaciais, 2023. Ref. 156004. p. 1806-1809.| Biblioteca(s): Embrapa Meio Ambiente; Embrapa Soja. |
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| 16. | | ZULLO JÚNIOR, J.; MACEDO JÚNIOR, C.; EVANGELISTA, B. A.; PINTO, H. S.; MARIN, F. R.; ASSAD, E. D.; KOGA-VICENTE, A. Riscos climáticos da cultura da cana-de-açúcar. In: BAENINGER, R.; ZULLO JUNIOR, J.; AIDAR, T.; PERES, R. G. (Org.). Regiões canavieiras. Campinas: Unicamp, 2013. p. 63-78. (Por dentro do Estado de São Paulo, 6).| Biblioteca(s): Embrapa Agricultura Digital. |
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| 17. | | PORTINHO, J. L.; GOMES, A. C. C.; KOGA-VICENTE, A.; SILVA, M. S. G. M. e; ARAUJO, L. S. de; LOSEKANN, M. E.; SAULINO, H. H. L.; MANZATTO, C. V.; VICENTE, L. E. Desenvolvimento e validação de metodologias multissensor/multiescala para coleta, análise e disponibilização de dados de qualidade de água em áreas aquícolas: o caso de Ilha Solteira no contexto projeto componente manejo e gestão ambiental da aquicultura (projeto BRS/AQUA). In: CARNEIRO, V. A.; SANTOS, J. C. V. (Org.). O matraquear das águas no cerrado. Anápolis: UEG, 2019. p. 179-198. E-book.| Biblioteca(s): Embrapa Meio Ambiente. |
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| 18. | | VICENTE, L. E.; PADILHA, M. C. C.; SILVA, A. F. da; KOGA-VICENTE, A.; DEMATTÊ, J. A. M.; GUERRERO, J. V.; ARAUJO, L. S. de; SILVA, G. F. da. Imagens hiperespectrais do sensor PRISMA na detecção de argilominerais em solos tropicais. In: SIMPÓSIO BRASILEIRO DE SENSORIAMENTO REMOTO, 20., 2023, Florianópolis. Anais [...]. São José dos Campos: Instituto Nacional de Pesquisas Espaciais, 2023. Ref. 156060. p. 2004-2007.| Biblioteca(s): Embrapa Meio Ambiente. |
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| 19. | | PADILHA, M. C. C.; VICENTE, L. E.; DEMATTÊ, J. A. M.; LOEBMANN, D. G. dos S. W.; URBINA SALAZAR, D.; KOGA-VICENTE, A.; ARAUJO, L. S. de; MANZATTO, C. V. Prediction statistical model for soil organic carbon mapping in crop areas using the Landsat/OLI sensor. In: SIMPÓSIO BRASILEIRO DE SENSORIAMENTO REMOTO, 19., 2019, Santos. Anais... São José dos Campos: INPE, 2019. Ref. 96042. p. 1-4.| Biblioteca(s): Embrapa Meio Ambiente. |
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| 20. | | PORTINHO, J. L.; GOMES, A. C. C.; KOGA-VICENTE, A.; SILVA, M. S. G. M. e; ARAUJO, L. S. de; MANZATTO, C. V.; PEROSA, B. B.; VICENTE, L. E.; RODRIGUES, G. S. Indicadores de boas práticas de manejo na aquicultura. Agroanalysis, v. 40, n. 2, p. 31-32, fev. 2020.| Biblioteca(s): Embrapa Meio Ambiente. |
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| Registros recuperados : 24 | |
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Registro Completo
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Biblioteca(s): |
Embrapa Meio Ambiente. |
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Data corrente: |
09/03/2022 |
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Data da última atualização: |
09/03/2022 |
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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: |
MATTOS, S. H. V. L. de; VICENTE, L. E.; KOGA-VICENTE, A.; BIELENKI JUNIOR, C.; PIQUEIRA, J. R. C. |
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Afiliação: |
SÉRGIO HENRIQUE VANNUCCHI LEME DE MATTOS, UFSCar; LUIZ EDUARDO VICENTE, CNPMA; ANDREA KOGA-VICENTE; CLÁUDIO BIELENKI JUNIOR, UFSCar; JOSÉ ROBERTO CASTILHO PIQUEIRA, POLI-USP. |
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Título: |
Metrics based on information entropy applied to evaluate complexity of landscape patterns. |
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Ano de publicação: |
2022 |
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Fonte/Imprenta: |
Plos One, v. 17, n.1, e0262680, 2022. |
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Páginas: |
23 p. |
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ISSN: |
1932-6203 |
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DOI: |
https://doi.org/10.1371/journal.pone.0262680 |
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Idioma: |
Inglês |
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Conteúdo: |
Abstract: Landscape is an ecological category represented by a complex system formed by interactions between society and nature. Spatial patterns of different land uses present in a landscape reveal past and present processes responsible for its dynamics and organisation. Measuring the complexity of these patterns (in the sense of their spatial heterogeneity) allows us to evaluate the integrity and resilience of these complex environmental systems. Here, we show how landscape metrics based on information entropy can be applied to evaluate the complexity (in the sense of spatial heterogeneity) of patches patterns, as well as their transition zones, present in a Cerrado conservation area and its surroundings, located in south-eastern Brazil. The analysis in this study aimed to elucidate how changes in land use and the consequent fragmentation affect the complexity of the landscape. The scripts CompPlex HeROI and CompPlex Janus were created to allow calculation of information entropy (He), variability (He/Hmax), and López-Ruiz, Mancini, and Calbet (LMC) and Shiner, Davison, and Landsberg (SDL) measures. CompPlex HeROI enabled the calculation of these measures for different regions of interest (ROIs) selected in a satellite image of the study area, followed by comparison of the complexity of their patterns, in addition to enabling the generation of complexity signatures for each ROI. CompPlex Janus made it possible to spatialise the results for these four measures in landscape complexity maps. As expected, both for the complexity patterns evaluated by CompPlex HeROI and the complexity maps generated by CompPlex Janus, the areas with vegetation located in a region of intermediate spatial heterogeneity had lower values for the He and He/Hmax measures and higher values for the LMC and SDL measurements. So, these landscape metrics were able to capture the behaviour of the patterns of different types of land use present in the study area, bringing together uses linked to vegetation with increased canopy coverage and differentiating them from urban areas and transition areas that mix different uses. Thus, the algorithms implemented in these scripts were demonstrated to be robust and capable of measuring the variability in information levels from the landscape, not only in terms of spatial datasets but also spectrally. The automation of measurement calculations, owing to informational entropy provided by these scripts, allows a quick assessment of the complexity of patterns present in a landscape, and thus, generates indicators of landscape integrity and resilience. MenosAbstract: Landscape is an ecological category represented by a complex system formed by interactions between society and nature. Spatial patterns of different land uses present in a landscape reveal past and present processes responsible for its dynamics and organisation. Measuring the complexity of these patterns (in the sense of their spatial heterogeneity) allows us to evaluate the integrity and resilience of these complex environmental systems. Here, we show how landscape metrics based on information entropy can be applied to evaluate the complexity (in the sense of spatial heterogeneity) of patches patterns, as well as their transition zones, present in a Cerrado conservation area and its surroundings, located in south-eastern Brazil. The analysis in this study aimed to elucidate how changes in land use and the consequent fragmentation affect the complexity of the landscape. The scripts CompPlex HeROI and CompPlex Janus were created to allow calculation of information entropy (He), variability (He/Hmax), and López-Ruiz, Mancini, and Calbet (LMC) and Shiner, Davison, and Landsberg (SDL) measures. CompPlex HeROI enabled the calculation of these measures for different regions of interest (ROIs) selected in a satellite image of the study area, followed by comparison of the complexity of their patterns, in addition to enabling the generation of complexity signatures for each ROI. CompPlex Janus made it possible to spatialise the results for these four measures in landscape c... Mostrar Tudo |
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Thesagro: |
Cerrado; Ecossistema; Floresta; Sensoriamento Remoto; Uso da Terra. |
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Thesaurus NAL: |
Entropy; Forests; Remote sensing. |
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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/232278/1/Vicente-Metrics-based-2021.pdf
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Marc: |
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100 1 $aMATTOS, S. H. V. L. de
245 $aMetrics based on information entropy applied to evaluate complexity of landscape patterns.$h[electronic resource]
260 $c2022
300 $a23 p.
520 $aAbstract: Landscape is an ecological category represented by a complex system formed by interactions between society and nature. Spatial patterns of different land uses present in a landscape reveal past and present processes responsible for its dynamics and organisation. Measuring the complexity of these patterns (in the sense of their spatial heterogeneity) allows us to evaluate the integrity and resilience of these complex environmental systems. Here, we show how landscape metrics based on information entropy can be applied to evaluate the complexity (in the sense of spatial heterogeneity) of patches patterns, as well as their transition zones, present in a Cerrado conservation area and its surroundings, located in south-eastern Brazil. The analysis in this study aimed to elucidate how changes in land use and the consequent fragmentation affect the complexity of the landscape. The scripts CompPlex HeROI and CompPlex Janus were created to allow calculation of information entropy (He), variability (He/Hmax), and López-Ruiz, Mancini, and Calbet (LMC) and Shiner, Davison, and Landsberg (SDL) measures. CompPlex HeROI enabled the calculation of these measures for different regions of interest (ROIs) selected in a satellite image of the study area, followed by comparison of the complexity of their patterns, in addition to enabling the generation of complexity signatures for each ROI. CompPlex Janus made it possible to spatialise the results for these four measures in landscape complexity maps. As expected, both for the complexity patterns evaluated by CompPlex HeROI and the complexity maps generated by CompPlex Janus, the areas with vegetation located in a region of intermediate spatial heterogeneity had lower values for the He and He/Hmax measures and higher values for the LMC and SDL measurements. So, these landscape metrics were able to capture the behaviour of the patterns of different types of land use present in the study area, bringing together uses linked to vegetation with increased canopy coverage and differentiating them from urban areas and transition areas that mix different uses. Thus, the algorithms implemented in these scripts were demonstrated to be robust and capable of measuring the variability in information levels from the landscape, not only in terms of spatial datasets but also spectrally. The automation of measurement calculations, owing to informational entropy provided by these scripts, allows a quick assessment of the complexity of patterns present in a landscape, and thus, generates indicators of landscape integrity and resilience.
650 $aEntropy
650 $aForests
650 $aRemote sensing
650 $aCerrado
650 $aEcossistema
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700 1 $aBIELENKI JUNIOR, C.
700 1 $aPIQUEIRA, J. R. C.
773 $tPlos One$gv. 17, n.1, e0262680, 2022.
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Embrapa Meio Ambiente (CNPMA) |
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