We have been developing technologies to allow scientists to more efficiently and reliably catalogue soil and landscape resources by leveraging some of today’s most influential technologies, including web and mobile, crowdsourcing, machine learning, cloud, and UAVs.
As an example, we can generate digital maps such as the one on the left by collecting crowdsourced assessments of recent satellite imagery backed by expert verification, and then building ML models to extrapolate predictions throughout the region. These predictions can also supplemented with uncertainty measures.
Readers are encouraged to browse more examples of applications below.