Fraction images derived from EO-1 Hyperion multitemporal data for dry season green up analysis in Tapajós National Forest, Brazilian Amazonia

In this study, we present an approach for phenology analysis of Amazon green-up using Linear Spectral Mixing Model applied to Hyperion multitemporal data. The study area was selected in the Tapajo¿s National Forest located in Para¿ State, Brazilian Amazonia. The region has well-defined dry and wet seasons with yearly rain about 2, 100 mm a dry season occurring from June to October. The study area is primarily covered by dense tropical rain forest (¿Floresta Ombro¿fila Densa¿) with a high number of emergent tree species. The EO-1 Hyperion data were acquired in July, August and September 2001, corresponding to the dry season in this region. The Linear Spectral Mixing Model was applied on each calibrated surface reflectance data, generating vegetation, soil, and shade fraction images. Then fundamental statistical analyses were carried out to evaluate the differences within the vegetation and shade fraction images derived from medium spatial resolution Hyperion images for rainforest phenology analysis.