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Conservation planning and population assessment for widely-distributed, but vulnerable, arboreal folivore species demands cost-effective mapping of habitat suitability over large areas. This study tested whether multispectral data from WorldView-3 could be used to estimate and map foliar digestible nitrogen (DigN), a nutritional measure superior to total nitrogen for tannin-rich foliage for the koala (<i>Phascolarctos cinereus</i>). We acquired two WorldView-3 images (November 2015) and collected leaf samples from <i>Eucalyptus</i> woodlands in semi-arid eastern Australia. Linear regression indicated the normalized difference index using bands &#8220;Coastal&#8222; and &#8220;NIR1&#8222; best estimated DigN concentration (% dry matter, R² = 0.70, RMSE = 0.19%). Foliar DigN concentration was mapped for multi-species <i>Eucalyptus</i> open woodlands across two landscapes using this index. This mapping method was tested on a WorldView-2 image (October 2012) with associated koala tracking data (August 2010 to November 2011) from a different landscape of the study region. Quantile regression showed significant positive relationship between estimated DigN and occurrence of koalas at 0.999 quantile (R² = 0.63). This study reports the first attempt to use a multispectral satellite-derived spectral index for mapping foliar DigN at a landscape-scale (100s km²). The mapping method can potentially be incorporated in mapping and monitoring koala habitat suitability for conservation management.