Uncertainty is the quantification of the unknown, a key process in science. Quantifying uncertainty and how it propagates through our stack of data to our prediction layers is important to identify the source of uncertainty. SPUN research is guided by uncertainty, helping us map the Earth’s least explored ecosystems: namely, where environments and ecoregions are not covered by our current database, where our predictions are have high uncertainty, but are not environmentally unique, and sub-pixel error where we lack information below our prediction resolution