Evapotranspiration estimated from satellite images in the Tangará da Serra region, Mato Grosso

Authors

DOI:

https://doi.org/10.30681/rcaa.v20i2.6513

Keywords:

Biophysical variables, Energy balance, Sebal

Abstract

Due to the evapotranspiration to be one of the main causes of water loss to the atmosphere and the main component of the hydrological cycle, its determination becomes indispensable for regional climate dynamics, especially for Mato Grosso due to agricultural potential. In this way, it was aimed to estimate the real daily evapotranspiration of different vegetable covers in the city of Tangará da Serra-MT, Brazil. Images of the Landsat-8 satellite, acquired in 04/19/2019, in orbit 227-70. In the studied scene, four targets were chosen for analysis of biophysical variables and real daily evapotranspiration. The targets were: exposed soil, pasture, native vegetation and corn cultivated area. The mean NDVI in the native vegetation was 29.41% higher than in the pasture and 164.61% higher than in the exposed soil, pointing out the efficiency of the index as indicative of biomass. The albedo of the corn area, when compared to the native vegetation, pasture and exposed soil, was 28.5%, 46.15% and 12.31% higher, respectively. The higher the albedo and the lower the NDVI resulted in higher temperature. In the areas of maize, pasture and soil exposed the Rn was 4.62%, 10.48% and 8.53% smaller than in native vegetation. When comparing the evapotranspiration of corn areas, pasture and exposed soil, it was noticed that these were 6.46%, 37.65% and 78.02%, respectively, smaller than in the area of native vegetation. Concluding that there were differences in the spatial pattern of the variables analyzed according to the type of land cover.

Downloads

Download data is not yet available.

References

ALLEN, R.G.; MORSE, A.; TASUMI, M; BASTIAANSSEN, W; KRAMBER, W.; ANDERSON, H. Evapotranspiration from Landsat (SEBAL) for water rights management and compliance with multi-state water compacts. In: IGARSS 2001. Scanning the Present and Resolving the Future. Proceedings. IEEE 2001 International Geoscience and Remote Sensing Symposium (Cat. No.01CH37217), 2001, pp. 830-833 vol.2, DOI: 10.1109/IGARSS.2001.976651.

ALLEN, R.G.; PEREIRA, L.S.; RAES, D.; SMITH, M. Crop evapotranspiration - Guidelines for computing crop water requirements - FAO Irrigation and drainage paper 56. FAO – Food and Agriculture Organization of the United Nations Rome, 1998. Disponível em: https://www.fao.org/3/x0490e/x0490e00.htm.

ALLEN, R.G.; TASUMI, M; TREZZA, R.; BASTIAANSSEN, W.; WATERS, R. Surface energy balance algorithms for land. Advance training and users manual. Kimberly. University of Idaho, version 1.0, 98p., 2002. Disponível em: https://www.posmet.ufv.br/wp-content/uploads/2016/09/MET-479-Waters-et-al-SEBAL.pdf.

ARRAES, F.D.D.; ANDRADE, E.M.; SILVA, B.B. Dinâmica do balanço de energia sobre o açude Orós e suas adjacências. Revista Caatinga, v.25, n.1, p.119-127, 2012. Disponível em: https://periodicos.ufersa.edu.br/caatinga/article/view/2024.

BASTIAANSSEN, W. G. M.; MENENTI, M.; FEDDES, R. A.; HOLTSLAG, A. A. M. A remote sensing surface energy balance algorithm for land (SEBAL) I. Formulation. Journal of Hydrology, v. 212-201, p. 198-212, 1998. DOI: https://doi.org/10.1016/S0022-1694(98)00253-4.

BASTIAANSSEN, W.G.M.; NOORDMAN, E.J.M.; PELGRUM, H.; DAVIDS, G. SEBAL Model with remotely sensed data to improve water-resources management under actual field conditions. Journal of Irrigation and Drainage Engineering, v.131, n.1, p 85-89, 2005. Disponível em: https://ascelibrary.org/doi/abs/10.1061/%28ASCE%290733-9437%282005%29131%3A1%2885%29.

BIUDES, M.S.; CAMPELO JR., J.H.; NOGUEIRA, J.S.; SANCHES, L. Estimate of energy balance in cambarazal and pasture in the north of Pantanal by Bowen ratio method. Revista Brasileira de Meteorologia, v.24, n.2, p.135-143, 2009. DOI: https://doi.org/10.1590/S0102-77862009000200003.

BIUDES, M.S.; MACHADO, N.G.; DANELICHEN, V.H.M.; SOUZA, M.C; VOURLITIS, G.L.; NOGUEIRA, J.S. Ground and remote sensing-based measurements of leaf área index in a transitional forest and seasonal flooded forest in Brazil. International Journal of Biometeorology, v.58, n.6, p.1181-1193, 2014. DOI: https://doi.org/10.1007/s00484-013-0713-4.

BIUDES, M.S.; VOURLITIS, G.L.; MACHADO, N.G.; ARRUDA, P.H.Z.; NEVES, G.A.R.; LOBO, F.A.; NEALE, C.M.U.; NOGUEIRA, J.S. Patterns of energy exchange for tropical ecosystems across a climate gradient in Mato Grosso, Brazil. Agricultural and Forest Meteorology, v.202, p.112–124, 2015. DOI: https://doi.org/10.1016/j.agrformet.2014.12.008.

BRAGA, A.C. Vegetation Index in the São Gonçalo Irrigated Perimeter - PB. Journal of Hyperspectral Remote Sensing, v. 4, n. 2, p. 65-74, 2014. DOI: https://doi.org/10.29150/jhrs.v4.2.p65-74.

BRAZ, A.M.; ÁGUAS, T.A.; GARCIA, P.H.M. Análise de índices de vegetação NDVI e SAVI e Índice de Área Foliar (IAF) para a comparação da cobertura vegetal na bacia hidrográfica do córrego Ribeirãozinho, município de Selvíria-MS. Revista Percurso, v.7, n.2, p.5-22, 2015. DOI: https://periodicos.uem.br/ojs/index.php/Percurso/article/view/49650.

CETEGEO-SR. Centro Tecnológico de Geoprocessamento e Sensoriamento Remoto. Universidade do Estado de Mato Grosso – UNEMAT, Tangará da Serra-MT. 2019. https://pesquisa.unemat.br/geoclimamt/.

CLARINDO, W.R.; DALLACORT, R.; DIAS, V.R.M.; RIEPPO, R.C.; BARRETO, J.G. Estimativa de Produtividade da Cultura do Milho Safrinha por Imagens de Satélite Landsat 8. Enciclopédia Biosfera, v.19, n.40, p.201-2015, 2022. DOI: 10.18677/EnciBio_2022B16.

CONAB. Companhia Nacional de Abastecimento. Informações Agropecuárias: Safras. 2019. Disponível em: www.conab.gov.br.

DALLACORT, R.; MARTINS, J.A.; INOUE, M.H.; FREITAS, P.S.L.; COLETTI, A. J. Rain distribution in Tangará da Serra, mid-northern Mato Grosso state, Brazil. Acta Scientiarum Agronomy, v.3, n.2, p.193-200, 2011. DOI: https://doi.org/10.4025/actasciagron.v33i2.5838.

EMBRAPA. Empresa Brasileira de Pesquisa Agropecuária. Centro Nacional de Pesquisa de Solos. Sistema brasileiro de classificação de solos. Brasília, Serviço de Produção de Informação, 2006. 412p. Disponível em: https://www.embrapa.br/solos/sibcs.

FAUSTO, M.A.; MACHADO, N.G.; NOGUEIRA, J.S.; BIUDES, M.S. Net radiation estimated by remote sensing in Cerrado areas in the Upper Paraguay River Basin. Journal of Applied Remote Sensing, v.8, n.1, p.083541, 2014. DOI: https://doi.org/10.1117/1.JRS.8.083541.

FERRONATO, A.; CHIG, L.A.; GOULART, D.B.; CAMPELO JR., J.H.; PEREIRA, L.C.; BIUDES, M.S. Métodos de estimativa da evapotranspiração de referência para Santo Antônio do Leverger-MT. Revista de Ciências Agroambientais, v.14, n.1, p.110-118, 2016. DOI: https://doi.org/10.5327/rcaa.v14i1.1418.

GIONGO, P.R.; MOURA, B.A.; SILVA, A.P.N.; MEDEIROS, S.R.R. Uso de sensoriamento remoto para estimar o saldo de radiação em áreas de cana-de-açúcar e cerrado. Revista Científica Eletrônica de Agronomia, v.19, p.8-21, 2011. Disponível em: http://faef.revista.inf.br/site/e/agronomia-19-edicao-junho-de-2011.html#tab575.

GIONGO, P.R.; MOURA, G.B.A.; SILVA, B.B.; ROCHA, H.R.; MEDEIROS, S.R.R.; NAZARENO, A.C. Surface albedo from Landsat 5 images in areas of sugar cane and cerrado. Revista Brasileira de Engenharia Agrícola e Ambiental, v.14, n.3, p.279-287, 2010. DOI: https://doi.org/10.1590/S1415-43662010000300007.

GUSMÃO, A.C.V.L.; SILVA, B.B.; MONTENEGRO, S.M.G.L.; GALVÍNCIO, J.D. Determination of the net radiation in Bananal Island, TO with orbital images. Revista Brasileira de Engenharia Agrícola e Ambiental, v.16, n.10, p.1107-1114, 2012. DOI: https://doi.org/10.1590/S1415-43662012001000011.

HOPKINS, W.G. A new view of statistics. Internet Society for Sport Science. 2000. Disponível em: http://www.sportsci.org/resource/stats/.

JENSEN, J.R. Sensoriamento Remoto do Ambiente: uma perspectiva em recursos terrestres. 2009. 2a Edição traduzida pelo Instituto Nacional de Pesquisas Espaciais – INPE. São Paulo, Parêntese, 672p.

LEITE, M.E.; VELOSO, G.A.; LEITE, M.R.; SILVA, L.A.P. Análise do Comportamento do Saldo de Radiação Instantâneo em Áreas de Cerrado por Produtos Orbitais. Revista Brasileira de Geografia Física, v.11, n.6, p.2067-2081, 2018. DOI: https://doi.org/10.26848/rbgf.v11.6.p2067-2080.

MACHADO, N.G.; BIUDES, M.S.; ANGELINI, L.P.; QUERINO, C.A.S.; ANGELINI, P.C.B.S. Impact of Changes in surface cover on energy balance in a tropical city by remote sensing: A study case in Brazil. Remote Sensing Applications: Society and Environment, v.20, p.100373, 2020. DOI: https://doi.org/10.1016/j.rsase.2020.100373.

MARTINS A.L.; CUNHA, C.R.; PEREIRA, V.M.R.; DANELICHEN, V.H.M.; MACHADO, N.G.; LOBO, F.A.; MUSIS, C.R.; BIUDES, M.S. Changes in biophysical indices due to the change of land cover in native cerrado area in Mato Grosso State. Revista Ciência e Natura, v.37, n.3, p.152-159, 2015. DOI: https://doi.org/10.5902/2179460X16145

MARTINS, A.P.; ROSA, R. Real evapotranspiration estimate from images of MODIS/AQUA sensor and SEBAL algorithm in Paranaíba river basin – Brazil. Caderno de Geografia, v.29, n.57, 2019. DOI: https://doi.org/10.5752/P.2318-2962.2019v29n57p351-367.

MONTEIRO, P.F.C.; FONTANA, D.C.; SANTOS, T.V.; ROBERTI, D.R. Estimation of energy balance components and evapotranspiration in soybean crop in southern Brazil using TM - Landsat 5 images. Bragantia, v.73, n.1, p.72–80, 2014. https://doi.org/10.1590/brag.2014.005.

OLIVEIRA, L.M.M.; MONTENEGRO, S.M.G.L.; SILVA, B.B.; ANTONINO, A.C.D.; MOURA, A.E.S.S. Real evapotranspiration in catchment area of northeastern Brazil through the SEBAL and MODIS products. Revista Brasileira de Engenharia Agrícola e Ambiental, v.18, n.10, p.1039-1046, 2014. DOI: https://doi.org/10.1590/1807-1929/agriambi.v18n10p1039-1046.

PAVÃO, V.M.; QUERINO, C.A.S.; BENEDITI, C.A.; PAVÃO, L.L.; QUERINO, J.K.A.S.; MACHADO, N.G.; BIUDES, M.S. Temperatura e Albedo da superfície por Imagens TM Landsat 5 em diferentes usos do Solo no sudoeste da Amazônia Brasileira. Revista Brasileira de Climatologia, v.16, p.169-183, 2015. DOI: http://dx.doi.org/10.5380/abclima.v16i0.40128.

PAVÃO, V.M.; QUERINO, C.A.S.; BENEDITI, C.A.; PAVÃO, L.L.; QUERINO, J.K.A.S.; MACHADO, N.G.; BIUDES, M.S. Variação espacial e temporal do saldo de radiação superficial em uma área do sul do Amazonas, Brasil. Revista Raega, v.37, p.333-352, 2016. DOI: http://dx.doi.org/10.5380/raega.v37i0.42469.

QGIS Development Team (2019). QGIS Geographic Information System. Open Source Geospatial Foundation Project. Disponível em: http://qgis.osgeo.org.

R Core Team (2019). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. Disponível em: https://www.R-project.org/.

SANCHES, F.M.; XIMENES, A.R.; CORADI, P.C.; ROQUE, C.G.; CUNHA, F.F. Estimativa da evapotranspiração de referência na região norte do Brasil. Revista de Ciências Agroambientais, v.13, n.2, p. 19-31, 2015. DOI: https://doi.org/10.5327/rcaa.v13i2.1179.

SANTOS, F.A.; SANTOS, C.A.C; ARAÚJO, A.L.; BRAGA, A.C. Changes in the radiative balance in pastures and forest areas through orbital MODIS images. Revista Brasileira de Geografia Física, v.6, n.5, p.1023 - 1036, 2013. DOI: https://doi.org/10.26848/rbgf.v6i5.233093.

SILVA, B.B; BRAGA, A.C.; BRAGA, C.C. Balanço de radiação no perímetro irrigado São Gonçalo-PB mediante imagens orbitais. Revista Caatinga, v.24, n.3, p.145-152, 2011. Disponível em: https://periodicos.ufersa.edu.br/caatinga/article/view/2282.

SILVA, B.B; BRAGA, A.C.; BRAGA, C.C.; OLIVEIRA, L.M.M.; MONTENEGRO, S.M.G.; BARBOSA JR., B. Procedures for calculation of the albedo with OLI-Landsat 8 images: Application to the Brazilian semi-arid. Revista Brasileira de Engenharia Agrícola e Ambiental, v.20, n.1, p.3-8, 2016. DOI: https://doi.org/10.1590/1807-1929/agriambi.v20n1p3-8.

SILVA, B.B; GALVÍNCIO, J.D.; MONTENEGRO, S.M.G.L.; MACHADO, C.C.C.; OLIVEIRA, L.M.M.; MOURA, M.S.B. Assessment of gross primary production - GPP in the irrigated perimeter São Gonçalo - PB using remote sensing. Revista Brasileira de Meteorologia, v.28, n.1, p.57-64, 2013. DOI: https://doi.org/10.1590/S0102-77862013000100006.

SILVA, B.B; MONTENEGRO, S.M.G.L.; SILVA, V.P.R.; ROCHA, H.R.; GALVÍNCIO, J.D.; OLIVEIRA, L.M.M. Determination of instantaneous and daily net radiation from TM – Landsat 5 data in a subtropical watershed. Journal of Atmospheric and Solar-Terrestrial Physics, v.135, p.42-49, 2015. DOI: https://doi.org/10.1016/j.jastp.2015.09.020.

UDA, P.K.; CORSEUIL, C.W.; KOBIYAMA, M.; SILVA, F.V. Análise da evapotranspiração real diária para diferentes usos e coberturas do solo da bacia do rio Negrinho-SC por meio do modelo SEBAL e imagens ASTER. In: XVI Simpósio Brasileiro de Sensoriamento Remoto, 16, Foz do Iguaçu, 2013, Anais eletrônicos... INPE, n. 1999, p. 5856-5863, 2013. Disponível em: https://www.labhidro.ufsc.br/Artigos/UDA_et_al_16SBSR.pdf.

USGS. United States Geological Survey. Product guide: Landsat 8 surface reflectance code (LaSRC) product. Versão 3. 2020. Disponível em: https://www.usgs.gov/media/files/landsat-8-collection-1-land-surface-reflectance-code-product-guide.

VELOSO, G.A.; FERREIRA, M.E.; SILVA, B.B. Determination of Real Evapotranspiration Daily in Areas of Jaiba Irrigated Project (Minas Gerais, Brazil) through Images Landsat 5-TM. Revista Cerrados, v.15, n.1, p.53-76, 2017. DOI: https://doi.org/10.22238/rc24482692v15n12017p53a76.

ZANCHI, F.B.; WATERLOO, M.J.; AGUIAR, L.J.G.; RANDOW, C.; KRUIJT, B.; CARDOSO, F.L.; MANZI, A.O. Estimate of the Leaf Area Index (LAI) and Biomass in pasture in the state of Rondônia - Brazil. Acta Amazonica, v.39, n.2, p.335-348, 2009. DOI: https://doi.org/10.1590/S0044-59672009000200012.

ZHOU, X.; HUANG, W.; KONG, W. YE, H.; LUO, J.; CHEN, P. Remote estimation of canopy nitrogen content in winter wheat using airborne hyperspectral reflectance measurements. Advances in Space Research, v. 58, n. 9, p. 1627-1637, 2016. DOI: https://doi.org/10.1016/j.asr.2016.06.034

Published

2023-02-19

Issue

Section

Engenharia Agrícola

How to Cite

Evapotranspiration estimated from satellite images in the Tangará da Serra region, Mato Grosso. (2023). Revista De Ciências Agro-Ambientais, 20(2), 90-103. https://doi.org/10.30681/rcaa.v20i2.6513

Similar Articles

11-20 of 172

You may also start an advanced similarity search for this article.

Most read articles by the same author(s)