Methodology of spatialization of energy balance components using MODIS and ERA Interim data

Juliano Schirmbeck, Denise Cybis Fontana, Anderson Luis Ruhoff, Debora Regina Roberti, Lucimara Wolfarth Schirmbeck

Resumo


This work aims at proposing a methodology to spatialize the Energy Balance (EB) components from the combined use of MODIS sensor products and ERA-Interim reanalysis data, and to evaluate the performance of the OSEB and METRIC models for estimating EB components in the predominantly humid subtropical climate of Rio Grande do Sul, Brazil. The research was conducted for 3 consecutive years from 2009 to 2011. The temporal variation patterns of the EB components were analyzed by comparing the values estimated by the models against the reference measurements of a micrometeorological tower (Sulflux network). For the spatial variability analysis, reference evapotranspiration (ETo) was calculated at a local scale (data from Weather stations of the National Institute of Meteorology) and a regional scale (ERA-Interim reanalysis data) while the consistency between these estimates was also verified. Afterward, using only the pixels in which the sensible heat flux represented more than 50% of the radiation balance, correlation maps between ETo ERA-Interim and latent heat fluxes were constructed. The estimated BE components are consistent regarding both, the order of magnitude and variation throughout the year, when compared to the reference measurements of the micrometeorological tower. The spatial variability analyses also reveal satisfactory results for both models, however, the METRIC model results showed greater coherence since it provided a greater number of dates with consistent results, thus being indicated as the most suitable model for building the time series.

Palavras-chave


OSEB; METRIC; Latent heat flux; Time series

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Referências


ALLEN, R. G. et al. Evapotranspiración del cultivo: guías para la determinación de los requerimientos de agua de los cultivos. Roma: FAO, 2006. 323 p. (FAO: Irrigation and Drainage Paper, 56).

ALLEN, R. G.; TASUMI, M.; TREZZA, R. Satellite-based energy balance for mapping evapotranspiration with internalized calibration (METRIC) - Model. Journal of Irrigation and Drainage Engineering, v. 133, p. 380-394, 2007.

BASTIAANSSEN, W. G. M. SEBAL-based sensible and latent heat fluxes in the irrigated Gediz Basin, Turkey. Journal of Hydrology, v. 229, p. 87-100, 2000.

BOEGH, E.; SOEGAARD, H.; THOMSEN, A. Evaluating evapotranspiration rates and surface conditions using Landsat TM to estimate atmospheric resistance and surface resistance. Remote Sensing of Environment, v. 79, p. 329-343, 2002.

CAMMALLERI, C. et al. Applications of a remote sensing-based two-source energy balance algorithm for mapping surface fluxes without in situ air temperature observations. Remote Sensing of Environment, v. 24, p. 502-515, 2012.

DANELICHEN, V. H. M. et al. Estimation of soil heat flux in a neo tropical wetland region using remote sensing techniques. Revista Brasileira de Meteorologia, v. 29, p. 469-482, 2014.

DEE, D. P. et al. The ERA-Interim reanalysis: configuration and performance of the data assimilation system. Quarterly Journal of the Royal Meteorological Society, v. 137, p. 553-597, 2011.

DICKEN, U.; COHEN, S.; TANNY, J. Examination of the Bowen ratio energy balance technique for evapotranspiration estimates in screen houses. Biosystems Engineering, v. 114, p. 397-405, 2013.

GAN, G. et al. An optimized two source energy balance model based on complementary concept and canopy conductance. Remote Sensing of Environment, v. 223, p. 243-256, 2019.

ISAAKS, E. H.; SRIVASTAVA, R. M. An introduction to applied geostatistics. New York: Oxford University Press, 1989.

JUNGES, A. H. et al. Temporal profiles of vegetation indices for characterizing grazing intensity on natural grasslands in Pampa biome. Scientia Agrícola, v. 73, p. 332-337, 2016.

KLERING, E. V. et al. Modelo agrometeorológico espectral para estimativa da produtividade de grãos de arroz irrigado no Rio Grande do Sul. Bragantia, v. 75, p. 247-256, 2016.

KUSTAS, W. P. et al. Revisiting the paper “Using radiometric surface temperature for surface energy flux estimation in Mediterranean drylands from a two-source perspective”. Remote Sensing of Environment, v. 184, p. 645-653, 2016.

LONG, D.; SINGH, V. P. Assessing the impact of end-member selection on the accuracy of satellite-based spatial variability models for actual evapotranspiration estimation. Water Resources Research, v. 49, p. 2601-2618, 2013.

MATZENAUER, R.; RADIN, B.; ALMEIDA, I. R. de. Atlas climático: Rio Grande do Sul. Porto Alegre: Secretaria da Agricultura Pecuária

e Agronegócio; Fundação Estadual de Pesquisa Agropecuária, [2011]. Disponível em: https://www.agricultura.rs.gov.br/upload/arquivos/202005/13110034-atlas-climatico-rs.pdf Acesso em: 5 jul. 2020.

MORAN, M. S. et al. Apping surface energy balance components by combining landsat thermatic mapper and ground-based meteorological data. Remote Sensing of Environment, v. 30, p. 77-87, 1989.

MOREIRA, A. et al. Dados meteorológicos estimados em condições de clima subtropical e a relação com índices de vegetação. Revista Brasileira de Cartografia, v. 69, p. 1075-1091, 2017.

MOREIRA, V. S. et al. Seasonality of soil water exchange in the soybean growing season in southern Brazil. Scientia Agrícola, v. 72, p. 103-113, 2015.

QI, J. et al. A modified soil adjusted vegetation index (MSAVI). Remote Sensing Environment, v. 48, p. 119-126, 1994.

QIU, J. et al. Comparison of temporal trends from multiple soil moisture data sets and precipitation: the implication of irrigation on regional soil moisture trend. International Journal of Applied Earth Observation and Geoinformation, v. 48, p. 17-27, 2016.

RIVAS, R. E.; CARMONA, F. Evapotranspiration in the Pampean Region using field measurements and satellite data. Physics and Chemistry of the Earth, Parts A/B/C, v. 55, p. 27-34, 2013.

RÖTZER, K.; MONTZKA, C.; VEREECKEN, H. Spatio-temporal variability of global soil moisture products. Journal of Hydrology, v. 522, p. 187-202, 2015.

SANTANELLO, J. A.; FRIEDL, M. A. Diurnal covariation in soil heat flux and net radiation. Journal of Applied Meteorology, v. 42, p. 851-862, 2003.

SANTOS, J. S. et al. Identificação da dinâmica espaço-temporal para estimar área cultivada de soja a partir de imagens MODIS no Rio Grande do Sul. Revista Brasileira de Engenharia Agrícola e Ambiental, v. 18, p. 54-63, 2014.

SENTELHAS, P. C. et al. The soybean yield gap in Brazil: magnitude, causes and possible solutions for sustainable production. Journal of Agricultural Science, v. 153, p. 1-18, 2015.

SÜTTERLIN, M. et al. Albedo and reflectance anisotropy retrieval from AVHRR operated onboard NOAA and MetOp satellites: algorithm performance and accuracy assessment for Europe. Remote Sensing of Environment, v. 168, p. 163-176, 2015.

TIMMERMANS, W. J. et al. An intercomparison of the Surface Energy Balance Algorithm for Land (SEBAL) and the Two-Source Energy Balance (TSEB) modeling schemes. Remote Sensing of Environment, v. 108, p. 369-384, 2007.

TIMMERMANS, W. J.; KUSTAS, W. P.; ANDREU, A. Utility of an automated thermal-based approach for monitoring evapotranspiration. Acta Geophysica, v. 63, p. 1571-1608, 2015.




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