Author(s): FADUL, M. J. do A.; FIDALGO, E. C. C.; PEDREIRA, B. da C. C. G.; PRADO, R. B.

Summary: Multitemporal, remotely sensed data applied to land use land cover dynamic studies require radiometric correction of images, in addition to geometric correction. This allow the analysis of temporal variation of targets without the influence of others factors such as the atmospheric effects. This study aims to apply the dark-object subtraction technique to correct atmospheric effects and to analyze the results on multitemporal images of rivers Macacu and Caceribu watersheds, in Rio de Janeiro state, in Atlantic Forest region. Images without clouds from sensors TM/Landsat-5 and ETM+/Landsat-7 were selected for analysis of land use land cover dynamic of two periods: 1997 to 2002 and 2002 to 2007. The results indicated that the correction method did not reduce the atmospheric effects in a satisfactory manner. These effects continued to influence in any significant way in the spectral response of the targets. The major differences between the levels of gray of the corrected images were among the images of different sensors, indicating likely influence of the response of the sensors on the final results. o objetivo do presente trabalho é analisar o efeito da correção atmosférica aplicando método de subtração de nível de ci nza em imagens multitemporais da região das bacias hidrográficas dos rios Macacu e Caceribu, no Estado do Rio de Janeiro, em região de Mata Atlântica.

Publication year: 2009

Types of publication: Paper in annals and proceedings

Unit: Embrapa Soils

Keywords: Imagens multitemporais, Processamento digital de imagens, Sensoriamento Remoto