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Retrieval from remote sensing of separate temporal dynamics for the understorey layer in tropical savannahs would be beneficial for monitoring fuel loads, biomass for livestock, interrelationships between trees and grasses, and modelling of savannah systems. In this study, we combined unmixing of fractional cover with normalized difference vegetation index (NDVI) and the short wave infrared ratio (SWIR32) with time series decomposition of the NDVI to attempt to fully resolve the dynamics of the herbaceous understorey in the Australian tropical savannah based on the fractions of photosynthetic herbaceous vegetation (F-PVH) and non-photosynthetic vegetation (F-NPV), from the woody overstorey, represented by the fraction of photosynthetic vegetation in the tree canopy (F-PVW). Evaluation of F-PVH against field data gave moderate relationships between predicted and observed values (R-2 between 0.5 and 0.6); since semivariogram metrics of representativeness indicated that field sites were relatively unrepresentative of variation at the Moderate Resolution Imaging Spectroradiometer MODIS) pixel scale. Both F-PVW and F-PVH produced strong linear relationships (root mean square error <0.1 units) with high-resolution Orbview 3 cover fractions classified from tasselled cap transformations. However, FNPVH (non-photosynthetic herbaceous cover fraction) retrievals at southern arid locations produced an evaluation relationship with a greater deviation from the 1:1 line than for northern locations. This suggested that there may be limitations on the NDVI-SWIR32 unmixing approach in more sparsely vegetated savanna. Maps of average annual maximum F-PVH, F-NPVH, and total herbaceous cover fraction could be used as indicators of savannah productivity and landscape health. However, close examination of the limitations of the NDVI-SWIR32 response may be required for application of this method in other global savannahs.