|
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.
Download
Esconder MarcMostrar Marc Completo |
|
Registro original: |
Embrapa Territorial (CNPM) |
|
