CASE STUDY: IDENTIFICATION OF DESERTIFICATION IN THE YEARS 1999, 2006 AND 2011 IN MOSSORÓ-RN
DOI :
https://doi.org/10.29150/jhrs.v5.4.p101-106Mots-clés :
Remote Sensing, Desertification, SemiaridRésumé
Desertification is defined as a process of destruction of the productive potential of the land by means of the pressure exerted by human activities on fragile ecosystems, whose regeneration capacity is low. The UN classifies desertification just the damage in range located in climates semiarid, arid and sub-humid dry. This process causes three types of impacts: environmental, social and economic. The objective of this study was to evaluate the efficiency of application of the Surface Energy Balance Algorithm for Land (SEBAL) model in estimating surface albedo, temperature and vegetation index, indicators those used to assess desertification in the city of Natal, Rio Grande do Norte, making a comparison between years 1999, 2006 and 2011, having as parameter data of TM / Landsat-5. The variables studied are important weather and climate parameters in meteorological studies. The results showed that the surface albedo is increasing, temperature and vegetation index had similar behaviors in 2006, in which these two corresponded to higher values than in 1999 and 2011.
Références
Araujo, I. R., Silva, H. P., Lopes, A. S.; Alencar, B. P. B., Silva, H. D. B. Cálculo de NDVI no suporte ao estudo de desertificação no município de Orobó –PE, In: III Simpósio Brasileiro de Ciências Geodésicas e Tecnologias da Geoinformação. Recife - PE, 2010.
Barbosa, H.A., Hueti, A.R., Baethgen, W.E. A 20 - year study of NDVI variability over the Northeast Region of Brazil. Journal of Arid Environments, London, v.67, p. 288-307, 2006.
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.
Chander, G., Markham, B. Revised Landsat - 5 TM radiometric calibration procedures and post calibration dynamic ranges. IEEE Transactions on Geoscience and Remote Sensing, 41(11), p. 2674 - 2677, 2003.
Huete, A. R. Adjusting Vegetation Indices for Soil Influences. International Agrophysics. 4 (4), p. 367 - 376, 1988.
Markham, B. L., Barker, L. L. Thematic mapper bandpass solar exoatmospherical irradiances. Int. Journal of Remote Sensing, v. 8, nº. 3, p. 517 - 523, 1987.
Mesquita, F.L.L. Monitoramento do balanço de radiação na região metropolitana do Rio de Janeiro. 80 f. Dissertação (Mestrado) - Curso de Meteorologia, Departamento de Instituto de Geociências do Centro de Ciências Matemáticas e da Natureza, Universidade Federal do Rio de Janeiro, Rio de Janeiro, 2012.
Monteith, J.L., Unsworth, M.H. Principles of Environmetal Physics. New York, Chapman and Hall, Inc, 1990.
Wang, S.; Grant, R.F.; Verseghy, D.L.; Black, T.A. Modelling plant carbon and nitrogen dynamics of a boreal aspen forest in CLASS – the Canadian Land surface Scheme. Ecology Modelling.142, p. 135-154, 2001.
