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Registro Completo |
Biblioteca(s): |
Embrapa Territorial. |
Data corrente: |
11/12/2017 |
Data da última atualização: |
03/05/2019 |
Tipo da produção científica: |
Artigo em Anais de Congresso |
Autoria: |
TEIXEIRA, A. H. de C.; HERNANDEZ, F. B. T.; LEIVAS, J. F.; NUÑEZ, D. N. C.; MOMESSO, R. F. A. |
Afiliação: |
ANTONIO HERIBERTO DE C TEIXEIRA, CNPM; FERNANDO B. T. HERNANDEZ, UNESP; JANICE FREITAS LEIVAS, CNPM; DANIEL N. C. NUÑEZ, UNESP; RENATO F. A. MOMESSO, UNESP. |
Título: |
Surface temperature estimated with Landsat 8 images and geostatistical tools in the northwestern São Paulo state. |
Ano de publicação: |
2017 |
Fonte/Imprenta: |
In: REMOTE SENSING FOR AGRICULTURE, ECOSYSTEMS, AND HYDROLOGY, 19., 2017, Warsaw. Proceedings... Warsaw: SPIE, 2017. (SPIE proceedings, v. 10421). |
Páginas: |
P. 104210F-104210F-9. |
ISBN: |
0277-786X |
DOI: |
10.1117/12.2277588 |
Idioma: |
Inglês |
Conteúdo: |
In the northwestern side of São Paulo state, irrigated crops are replacing natural vegetation, bringing importance for the development and applications of tools to quantify the energy and water balances. Remote sensing together with geostatistical tools are suitable for these tasks, being the surface temperature (T0) one of the radiation balance modelling input parameters. However, due to the importance of high both spatial and temporal resolutions to capture the dynamics of water and vegetation conditions, when the thermal bands are absent in several high-resolution satellites, applications on water resources studies are limited. This paper aimed to test the Moving Average (MA) and the Nearest Point (NP) geostatistical interpolation methods for estimate T0 with and without the Landsat 8 (L8) thermal bands by using a net of agrometeorological stations. In the case of using the L8 satellite thermal radiances, the Plankꞌs low was applied to its bands 10 and 11. Without these bands, T0 was retrieved as residue in the radiation balance. Up scaling the satellite overpass T0 to daily scale resulted in a root mean square error (RMSE) of only 1.72 and 1.74 K when compared with values resulted from the MA and NP applications with the residual method, respectively. However, the MA method seemed to be more suitable than the NP one, being concluded that the coupled use of high spatial resolution images without a thermal band and interpolated weather data throughout the MA method is suitable for large-scale energy and water balance studies. MenosIn the northwestern side of São Paulo state, irrigated crops are replacing natural vegetation, bringing importance for the development and applications of tools to quantify the energy and water balances. Remote sensing together with geostatistical tools are suitable for these tasks, being the surface temperature (T0) one of the radiation balance modelling input parameters. However, due to the importance of high both spatial and temporal resolutions to capture the dynamics of water and vegetation conditions, when the thermal bands are absent in several high-resolution satellites, applications on water resources studies are limited. This paper aimed to test the Moving Average (MA) and the Nearest Point (NP) geostatistical interpolation methods for estimate T0 with and without the Landsat 8 (L8) thermal bands by using a net of agrometeorological stations. In the case of using the L8 satellite thermal radiances, the Plankꞌs low was applied to its bands 10 and 11. Without these bands, T0 was retrieved as residue in the radiation balance. Up scaling the satellite overpass T0 to daily scale resulted in a root mean square error (RMSE) of only 1.72 and 1.74 K when compared with values resulted from the MA and NP applications with the residual method, respectively. However, the MA method seemed to be more suitable than the NP one, being concluded that the coupled use of high spatial resolution images without a thermal band and interpolated weather data throughout the MA method ... Mostrar Tudo |
Palavras-Chave: |
Geosciences; Interpolation methods; Radiation balance. |
Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
Marc: |
LEADER 02398nam a2200229 a 4500 001 2082022 005 2019-05-03 008 2017 bl uuuu u00u1 u #d 022 $a0277-786X 024 7 $a10.1117/12.2277588$2DOI 100 1 $aTEIXEIRA, A. H. de C. 245 $aSurface temperature estimated with Landsat 8 images and geostatistical tools in the northwestern São Paulo state.$h[electronic resource] 260 $aIn: REMOTE SENSING FOR AGRICULTURE, ECOSYSTEMS, AND HYDROLOGY, 19., 2017, Warsaw. Proceedings... Warsaw: SPIE, 2017. (SPIE proceedings, v. 10421).$c2017 300 $aP. 104210F-104210F-9. 520 $aIn the northwestern side of São Paulo state, irrigated crops are replacing natural vegetation, bringing importance for the development and applications of tools to quantify the energy and water balances. Remote sensing together with geostatistical tools are suitable for these tasks, being the surface temperature (T0) one of the radiation balance modelling input parameters. However, due to the importance of high both spatial and temporal resolutions to capture the dynamics of water and vegetation conditions, when the thermal bands are absent in several high-resolution satellites, applications on water resources studies are limited. This paper aimed to test the Moving Average (MA) and the Nearest Point (NP) geostatistical interpolation methods for estimate T0 with and without the Landsat 8 (L8) thermal bands by using a net of agrometeorological stations. In the case of using the L8 satellite thermal radiances, the Plankꞌs low was applied to its bands 10 and 11. Without these bands, T0 was retrieved as residue in the radiation balance. Up scaling the satellite overpass T0 to daily scale resulted in a root mean square error (RMSE) of only 1.72 and 1.74 K when compared with values resulted from the MA and NP applications with the residual method, respectively. However, the MA method seemed to be more suitable than the NP one, being concluded that the coupled use of high spatial resolution images without a thermal band and interpolated weather data throughout the MA method is suitable for large-scale energy and water balance studies. 653 $aGeosciences 653 $aInterpolation methods 653 $aRadiation balance 700 1 $aHERNANDEZ, F. B. T. 700 1 $aLEIVAS, J. F. 700 1 $aNUÑEZ, D. N. C. 700 1 $aMOMESSO, R. F. A.
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Embrapa Territorial (CNPM) |
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Biblioteca(s): |
Embrapa Arroz e Feijão. |
Data corrente: |
21/05/2020 |
Data da última atualização: |
21/05/2020 |
Tipo da produção científica: |
Resumo em Anais de Congresso |
Autoria: |
SILVA, A. C. M. da; BARBOSA, E. T.; LOBO JUNIOR, M. |
Afiliação: |
AMANDA CARVALHO MONTEIRO DA SILVA, estagiária CNPAF; ELDER TADEU BARBOSA, CNPAF; MURILLO LOBO JUNIOR, CNPAF. |
Título: |
Ajuste de metodologia para detecção de resistência de Trichoderma spp. ao fungicida Carbendazim em microplacas. |
Ano de publicação: |
2019 |
Fonte/Imprenta: |
In: SEMINÁRIO JOVENS TALENTOS, 13., 2019, Santo Antônio de Goiás. Resumos... Santo Antônio de Goiás: Embrapa Arroz e Feijão, 2019. |
Páginas: |
p. 22. |
ISBN: |
978-65-86056-69-3 |
Idioma: |
Português |
Conteúdo: |
O objetivo deste trabalho foi otimizar uma metodologia desenvolvida para detectar isolados de Trichoderma spp. resistentes ao fungicida Carbendazim, que afeta mais de 40 gêneros de fungos. |
Palavras-Chave: |
Microplacas. |
Thesagro: |
Controle Biológico; Fungicida; Trichoderma. |
Categoria do assunto: |
H Saúde e Patologia |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/213133/1/CNPAF-2019-jt-p22.pdf
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Marc: |
LEADER 00907nam a2200205 a 4500 001 2122450 005 2020-05-21 008 2019 bl uuuu u00u1 u #d 020 $a978-65-86056-69-3 100 1 $aSILVA, A. C. M. da 245 $aAjuste de metodologia para detecção de resistência de Trichoderma spp. ao fungicida Carbendazim em microplacas.$h[electronic resource] 260 $aIn: SEMINÁRIO JOVENS TALENTOS, 13., 2019, Santo Antônio de Goiás. Resumos... Santo Antônio de Goiás: Embrapa Arroz e Feijão$c2019 300 $ap. 22. 520 $aO objetivo deste trabalho foi otimizar uma metodologia desenvolvida para detectar isolados de Trichoderma spp. resistentes ao fungicida Carbendazim, que afeta mais de 40 gêneros de fungos. 650 $aControle Biológico 650 $aFungicida 650 $aTrichoderma 653 $aMicroplacas 700 1 $aBARBOSA, E. T. 700 1 $aLOBO JUNIOR, M.
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