Correlation between precipitation and vegetation indexes under preserved Caatinga condition
DOI:
https://doi.org/10.29150/jhrs.v7.1.p21-30Schlagworte:
Remote sensing, NDVI, SAVI, LAI, semiarid.Abstract
The remote sensing techniques have been improved during the last few years, and vegetation indexes have become an increasingly used instrument for the evaluation of landscape units, for instance, the Caatinga's biome. Thus, some indexes such as the Normalized Difference Vegetation Index (NDVI), the Soil Adjusted Vegetation Index (SAVI) and the Leaf Area Index (LAI) are important tools in the study of the vegetation's behavior under the most different climatic conditions, especially in regions of the Brazilian semiarid that have scarce and poorly distributed rains, concentrated in the first half of the year. The objective of this research is to evaluate the influence of precipitation in the behavior of preserved Caatinga's vegetation through vegetation indexes using satellite images. For this, rainfall data of the Aiuaba Experimental Basin (AEB) provided by FUNCEME for the years 2003, 2004 and 2005, were analyzed. In conclusion, there is a strong correlation between rainfall precipitation and the increasing of the vegetation cover in the studied area, showing that the vegetation indexes can be considered as efficient parameters to evaluate the vegetation's behavior under preserved Caatinga condition.
Literaturhinweise
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, p. 198-212, 1998.
BEZERRA, E. C.; BEZERRA, J. E. G.; MENDES, M. F. Precipitações. In: Atlas do Ceará. Fortaleza. IPLNCE, 1997.
COSTA, C. A. G. Umidade do solo e disponibilidade hídrica na zona das raízes em condições naturais de Caatinga preservada. 2012. Tese (Doutorado) - Engenharia Agrícola, Universidade Federal do Ceará, Fortaleza, 2012.
CREUTZFELDT, B. Remote sensing based characterization of land cover and terrain properties for hydrological modeling in the semi-arid Northeast of Brazil – Final Year Work. 28f. Dissertação. Institutfür Geoökologie – Instituto de Ciências Ambientais, Potsdam University, Potsdam, Germany, 2006.
DE ARAÚJO, J. C.; PIEDRA J. I. G. Comparative hydrology: analysis of a semiarid and a humid tropical watershed. Hydrological Processes, New York, v. 23, n. 8, p. 1169–1178, 2009.
FIGUEIREDO, J. V. de. Início da geração de escoamento superficial em uma bacia semiárida em Caatinga preservada. Dissertação de Mestrado. 84 f. Universidade Federal do Ceará. Mestrado em Engenharia Agrícola. Fortaleza, 2011.
FRANÇA, D. A.; FERREIRA, N. J. Considerações sobre o uso de satélites na detecção e avaliação de queimadas. In: XII Simpósio Brasileiro de Sensoriamento Remoto (SBSR), 2005, Goiânia, São José dos Campos: INPE, 2005. Artigos, Anais p. 3017-3023. CD-ROM, On-line. ISBN 85-17-00018-8. Disponível em: <http://marte.sid.inpe.br/col/ltid.inpe.br/sbsr/2004/11.20.11.30/doc/3017.pdf>. Acesso em: 10.out.2016.
HUETE, A.R. A soil-adjusted vegetation index (SAVI). Remote Sens. Environ., v. 25, p. 53-70, 1988.
PONZONI, F. J. Comportamento espectral da vegetação. In. Sensoriamento Remoto - Reflectância dos alvos naturais. Brasília: UnB, EMBRAPA, 2001. p.157-199.
REDDY, S.J. Climatic classification: the semi-arid tropics and its environment - a review. Pesquisa Agropecuária Brasileira. v.8, n.18 p.823-847, 1983.
SAMPAIO, E.V.S.B. Caracterização da caatinga e fatores ambientais que afetam a ecologia das plantas lenhosas. In: Sales, V.C. (Ed.). Ecossistemas brasileiros: manejo e conservação. Fortaleza, Expressão Gráfica e Editora, 2003. 391 p.
