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Edson E. Sano, Laerte G. Ferreira, and Alfredo R. Huete

(INPE). For illustration purpose, Figure 3 shows the dry-season JERS-1 and TM color composite of the study area. The Landsat images were converted to the “top of atmosphere” apparent reflectances and then corrected for Rayleigh scattering and ozone absorption using the 6S radiative transfer code simulations ( Vermote et al. 1997 ). The corrected reflectance data were spectrally converted to the NDVI ( Rouse et al. 1974 ) and EVI ( Huete et al. 1994 ; Justice et al. 1998 ) algorithms as follows

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Gregory P. Asner, David E. Knapp, Amanda N. Cooper, Mercedes M. C. Bustamante, and Lydia P. Olander

regions, the system must also allow for normalization of images via rescaling and for image edge detection and mosaicking. These criteria resulted in the Carnegie Landsat Analysis System (CLAS) presented in Figure 3 . Raw Landsat ETM+ data are geocorrected, then sensor gains and offsets are used to convert from a digital number (DN) to exoatmospheric radiance. The radiance data are passed to a fully automated version of the 6S atmospheric radiative transfer model ( Vermote et al. 1997 ). The 6S

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