The aim of this research was to monitor the amount of solar energy absorbed by chlorophyll at branch scale during the dry season, in a central eastern Amazonian evergreen forest, and verify how broadband and narrowband vegetation indices, as well as canopy fractions can be used for monitoring the absorption of energy by chlorophyll at the species level. Seventeen hyperspectral images (385-1050 nm, ~ 4 nm spectral resolution), which were acquired from a tower-mounted camera (late July to late September, 2012), were used in this study. Seven vegetation indices, three canopy fractions (green vegetation, GV, non-photosynthetic vegetation, NPV, and shade fractions), and the depth of the chlorophyll absorption band, were calculated for three tree species in the camera image: Chamaecrista xinguensis (CHXI), Erisma uncinatum (ERUN) and Manilkara huberi (MAHU). Each individual (and species) displays a distinct phenological behavior, and ERUN has the highest values and the lowest variation of chlorophyll absorption band depth during the studied period. Our results show that the dry season changes in chlorophyll absorption band depth are not correlated with the shade fraction; instead, it can be explained by the dry season variations in GV and NPV, as well as by three vegetation indices: Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) and Plant Senescence Reflectance Index (PSRI). Although NDVI and EVI are more consistent during the time, only NDVI and PSRI are correlated with the absorption of the electromagnetic energy by chlorophyll within the studied crowns (and species).