APPLICATION OF THE SEBAL MODEL FOR DETERMINING THE NET RADIATION IN THE CARIRI CEARENSE REGION

Maria Tamyres Barbosa Nascimento, João Alvino Sampaio Silva, Carlos Wagner Oliveira, Ana Célia Maia Meireles, Francisco Luan Fernandes

Abstract


The urbanization process has contributed directly to the variation of climatic conditions, since this is mainly due to the substitution of vegetation cover for the construction of urban environments. The removal of these areas of vegetation implies changes in their albedo patterns and monochromatic reflectance causing an irregularity in the radiation distribution cycle. Thus, the objective of this work is to determine the balance of radiation in the Cariri Cearense region, by remote sensing using the algorithm SEBAL (Surface Energy Balance Algorithm for Land) and Landsat 5TM images 2616/65 on 07/30/2006, 08/18/2007, 09/21/2008, 09/24/2009, 10/13/2010, 08/29/2011. For a more detailed appreciation of the values of net radiation (Rn), three targets were chosen in the scene, which were: native forest, sparse forest, exposed soil area. All these targets located to windward of the Chapada do Araripe. The Rn estimates showed an increase in dense native forest regions due to the greater vegetative area, in all the images studied. The values for sparse forest and exposed soil were lower.

Keywords


Chapada do Araripe, Remote Sensing, Landsat.

References


Bastiaanssen, W. G., Menenti, M., Fedds, R. A., Holtslag, A. A., 1998 A remote sensing surface energy balance algorithm for land (SEBAL) 1. Formulation. Journal of hidrology 212-213, 198- 212.

Bezerra, M. V. C., Silva, B. B. da, Bezerra, B. G., 2011. Avaliação dos efeitos atmosféricos no albedo e NDVI obtidos com imagens de satélite. Revista Brasileira de Engenharia Agrícola e Ambiental 15(7), 709–717.

Conçeição, A. F., dos Santos Furtado, A. L., Filardi, A.L., Ninomya, M., Lourenço, F. R., 2008. Remote Sensing and GIS applications as tool for planning and control FMD in Brazilian Border, Campinas, SP, Brasil,

Huete, A. R., Tucker, C. J., 1991. Investigation of soil influence in AVHRR red and near infrared. vegetation index imagery. International Journal of Remote Sensing, Basingstoke 12, 1223-1242.

Lombardo, M.A., 1985. Ilhas de Calor nas Metrópoles: o exemplo de São Paulo. São Paulo: HUCITEC.

Nicácio, R. M., 2008, Evapotranspiração real e umidade do solo usando dados de sensores orbitais e a metodologia SEBAL na bacia do rio São Francisco [Rio de Janeiro] 2008 XVII, 320 p. 29,7 cm (COPPE/UFRJ,D.Sc.,Engenharia Civil, 2008) Tese -Universidade Federal do Rio de Janeiro, COPPE

Silva, B. B. da, Lopes, G. M., Azevedo, P. V., 2005. Balanço de radiação em áreas irrigadas utilizando imagens Landsat 5 – TM. Revista Brasileira de Meteorologia. Rio de Janeiro, 20 (2), 243- 252.

Silva, T. G. F.. Moura, M. S. B, Zolnier, S., Soares, J. M., de Souza, L. S. B., Brandão, E. O., 2011. Variação do balanço de radiação e de energia da cana-de-açúcar irrigada no semiárido brasileiroRevista Brasileira de Engenharia Agrícola e Ambiental 15, 139-147.

Weligepolage, K., 2005. Estimation of spatial and temporal distribuition of evapotranspirationby satellite remote sensing – A case study in Hupselse Beek. 114 f. Dissertação de Mestrado. International Institute for Geo- information Science and Earth Observation.




Copyright (c) 2017 Journal of Hyperspectral Remote Sensing

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Indexadores / Base de Dados:

 

Google Scholar

 

Journal of Hyperspectral Remote Sensing - eISSN: 2237-2202