Validation of Chloris Estimates

In this white paper, we have tested our technology against biomass estimates published by independent research centers and find that we can consistently provide accurate estimates at all scales. Crucially, our ability to measure change from one year to the next is consistent with the long-term dynamics monitored through airborne LiDAR at sites with multi-year monitoring measurements. As a result, we show that our approach is a reliable, scalable method capable of detecting and quantifying carbon stocks and their changes operationally.

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Chloris Geospatial Closes Seed Extension Round of Funding with AXA IM Alts and Orbia Ventures as New Investors

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My four take-aways from Davos: nature and data in the spotlight