Evapotranspiration estimation in urban areas through TM digital images - Landsat 5
DOI:
https://doi.org/10.5007/1982-5153.2019v34n72p559Abstract
Evapotranspiration (ET) has great relevance in the air temperature and contributes to the climate balance in urban areas. In this context, this study aimed to estimate evapotranspiration in the city of Recife-PE in order to analyze the intra-urban differences in the various types of roofing. Six digital images of the TM - Landsat 5 sensor regarding orbit 214 and points 65, 66 were used. The density of sensible heat and latent heat fluxes were calculated based on SEBAL algorithm. The evapotranspiration results were consistent when compared with values obtained by the method of FAO-Penman-Monteith, with absolute error between 0.18 and 1.23 mm d-1, minimum and maximum, respectively, and average of 0.86 mm d-1. The highest evapotranspiration rates were found in protection units and water bodies between 5.0 and 6.0 mm d-1, approximately, while in surfaces with intense constructive densification, values close to 1.0 mm d-1 were found. The methodology used consistently represented the various types of roofing and can promote a significant advance in the monitoring of the urban climate.
References
ALLEN, R.G.; JENSEN, M.E.; BORNAN, R. D. Operational estimates of reference evapotranspiration. Agronomy Journal, Madison, v.81, n. 4, p.650-662, 1989.
ALLEN, R. G.; PEREIRA, L. S.; SMITH, M. Crop Evapotranspiration – Guidelines for Computing Crop Water Requirements. FAO Irrigation and Drainage Paper, No. 56, FAO. Rome, Italy, 318 p. 1998.
ALLEN, R. G.; TASUMI, M.; TREZZA, R. SEBAL (Surface Energy Balance Algorithms for Land). Advance Training and Users Manual – Idaho Implementation, VERSION 1.0, 97p., 2002.
BASTIAANSSEN, W.G.M.; MENENTI, M.; FEDDES, R. A.; HOLTSLAG, A.A.M.A. Remote Sensing Surface Energy Balance Algorithm for Land (SEBAL) 1. Formulation. Journal of Hydrology, v. 212-213, p. 198-212, 1998.
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.
BEZERRA, B. G.; SILVA, B. B.; FERREIRA, N. J. Estimativa da evapotranspiração real diária utilizando-se imagens digitais TM - Landsat 5. Revista Brasileira de Meteorologia, v.23, p. 305-317, 2008.
BEZERRA, M. V. C.; SILVA, B. B.; BEZERRA, B. G. Avaliação dos efeitos atmosféricos no albedo e NDVI obtidos com imagens de satélite. Revista Brasileira de Engenharia Agrícola e Ambiental. Campina Grande, PB. v.15, p. 709-717, 2011.
BRUTSAERT, W. Evaporation Into the Atmosphere: Theory, History and Applications. D. Reidel Pub, Co, 299 p. 1982.
CHANDER, G.; MARKHAM, B. L.; BARSI, J. A. Revised Landsat - 5 Thematic Mapper Radiometric Calibration. IEEE Geoscience and Remote Sensing Letters, v. 4, n. 3, p. 490-494, 2007.
CHOUDHURY, B. J. Estimating evaporation and carbon assimilation using infrared temperature data: vistas in modelling. Theory and Applications of Optical Remote Sensing, p.628-690, 1989.
CORREA, A. C. B. Contribuição à análise do Recife como um Geossistema Urbano. Revista de Geografia da UFPE, Vol.23 n.3. p.86-102 Recife: UFPE, 2006.
DE BRUIN, H. A. R.; STRICKER, J. N. M. Evaporation of grass under non-restricted soil moisture conditions, Hydrology Science Journal, n. 45(2), p. 391– 406, 2000.
FILHO, V. P. S.; VISWANADHAM, Y.; SANTOS, J. M. Determinação da constante de von-Karman a partir de dados coletados na Amazônia. Revista Brasileira de Meteorologia, v.7, n.1, p.535-541, 1992.
GOMES, L. C. F.; SANTOS, C. A. C.; ALMEIDA, H. A. Balanço de Energia à Superfície para a Cidade de Patos-PB Usando Técnicas de Sensoriamento Remoto, Revista Brasileira de Geografia Física, v. 6, p.15-28, 2013.
GRIMMOND, C. S. B.; KUTTLER, W.; LINDQVIST, S.; ROTH, M. Urban Climatology ICUC6. International Journal of Climatology, v.27, p.1847-1848, 2007.
LIU, W et al. Actual evapotranspiration estimation for different land use and land cover in urban regions using Landsat 5 data. Journal of Applied Remote Sensing, vol. 4, p.1-14, 2010.
LOMBARDO, M. A. Ilha de calor nas metrópoles: o exemplo de São Paulo. 1 ed. Hucitec, 1985.
MACHADO, C. C. C.; SILVA, B. B. DA.; ALBUQUERQUE, M. B.; GALVÍNCIO, J. D. Evapotranspiração real diária utilizando uma imagem digital TM-Landsat 5 e o algoritmo SEBAL. In anais do Workshop Internacional de Inovações Tecnológicas na Irrigação, p.1-5, 2012.
MEDINA, J. L.; CAMACHO, E.; RECA, J.; LÓPEZ, R.; ROLDÁN, J. Determination and analysis of regional evapotranspiration in Southern Spain based on Remote Sensing and GIS. Physical and Chemistry of the Earth, vol. 23, No. 4, 427-432, 1998.
MENDONÇA, J. C.; SOUSA, E. F.; BOUHID, R. G.; SILVA, B. B.; FERREIRA, N. J. Estimativa do fluxo do calor sensível utilizando o algoritmo sebal e imagens modis para a região norte fluminense, RJ. Revista Brasileira de Meteorologia, v.27, n.1, p. 85- 94, 2012.
MONTEITH, J. L. Evaporation and environment. In G.E. Fogg (ed.) Symposium of the Society for Experimental Biology, The State and Movement of Water in Living Organisms, Vol. 19, Academic Press, Inc., NY. p. 205-234. 1965.
MONTEIRO, C. A. F. Por um Suporte Teórico e Prático para Estimular Estudos Geográficos de Clima Urbano no Brasil. Geosul, ano V, n.9, p.7-19, 1º Semestre. 1990.
MONIN, A S.; OBUKHOV, A. M. Dimensionless characteristics of turbulence in the surface layer of the atmosphere, Trudy Akad Nauk SSSR Geophizica, v. 24, p.163-187, 1954.
MOREIRA, E. B. M. Balanço de energia e evapotranspiração na cidade do Recife por sensoriamento remoto. Tese. Universidade Federal de Pernambuco, 155p, 2014.
PAULSON, C. A. The Mathematical Representation of Wind Speed and Temperature Profiles in the Unstable Atmospheric Surface Layer. Journal of Applied Meteorology, v.9, p. 856-861, 1970.
PEREZ, J. C.; SANCHEZ, M. A. V.; BARRADAS, V. L. Clima, urbanización y uso del suelo en ciudades tropicales de Mexico. RNIU, Puebla, México, Ciudades 51. 2001.
PONZONI, F. J.; SHIMABUKURO, Y. E. Sensoriamento remoto no estudo da vegetação. São José dos Campos: Parêntesis, 2007. 136 p.
KUSTAS, W. P.; NORMAN, J. M. Use of remote sensing for evapotranspiration monitoring over land surfaces. Journal of Hydrology, v. 41, p. 495–516, 1996.
SHUTTLEWORTH, W. J.; GURNEY, R. J.; HSU, A. Y. & ORMSBY, J. P. FIFE: the variation in energy partition at surface flux sites. IAHS Publ. n. 186, 1989.
SILVA, B. B. da., BEZERRA, M. V. C. Determinação dos fluxos de calor sensível e latente na superfície utilizando imagens TM - Landsat 5. Revista Brasileira de Agrometeorologia, v. 14, n. 2, p. 174-186, 2006.
SILVA, B. B. da., SILVA, S. T. A.; GOMES, H. B. Alterações climáticas decorrentes de mudanças no uso da terra mediante sensoriamento remoto. Revista Mercator, v.9, p. 91-106, 2010.
SILVA, B. B da., 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.
TASUMI, M. Progress in operational estimation of regional evapotranspiration using satellite imagery. Dissertation presented at The University of Idaho, USA. 357 p, 2003.
TEIXEIRA, A. H. C.; W.G.M., BASTIAANSSEN, AHMAD, M–UD–D, BOS, M. G. Reviewing SEBAL input parameters for assessing evapotranspiration and water productivity for the Low-Middle São Francisco River basin, Brazil Part A: Calibration and validation. Agricultural and Forest Meteorology, v.149, p.462-476, 2009a.
TEIXEIRA, A. H. C.; W.G.M., BASTIAANSSEN, AHMAD, M–UD–D, BOS, M. G. Reviewing SEBAL input parameters for assessing evapotranspiration and water productivity for the Low-Middle São Francisco River basin, Brazil Part B: Application to the large scale. Agricultural and Forest Meteorology, v.149, p.477- 490, 2009b.
TIMMERMANS, J. W.; JIMÉNEZ-MUNÕZ, J. C.; HIDALGO, V.; RICHTER, K.; SOBRINHO, J. A. Estimation of the spatially distributed surface energy budget for AgriSAR 2006, part I: remote sensing model intercomparison. Ieee Journal of Selected Topics in Applied Earth Observations and Remote Sensing, v.4, p.465-481, 2011.
TREZZA, R. Evapotranspiration using a satellite-based surface energy balance with standardized ground control. Ph.D. dissertation, Utah State University., Logan, Utah, 247p. 2002.
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 anais... Simpósio Brasileiro de Sensoriamento Remoto, p. 323-332, 2013.
WANG, J., T.W.; SAMMIS, C.A.; MEIER, L.J.; SIMMONS, D.R.; MILLER, AND Z. SAMANI. A modified SEBAL model for spatially estimating pecan consumptive water use for Las Cruces, New Mexico. 15th Conference on Applied Climatology. Hilton Savannah Desoto, Savannah, Georgia. 20-24, June, 2005.
WEBB, E. K. Profile Relationships: the Log-linear Range and Extension to Strong Stability. Quartely Journal of the Royal Meteorological Society, v. 96 p. 67-90, 1970.
Downloads
Published
Issue
Section
License
![Licença Creative Commons](https://i.creativecommons.org/l/by/4.0/88x31.png)
Este trabalho está licenciado com uma Licença Creative Commons - Atribuição 4.0 Internacional.