Biomass Estimation to Aid Industrial Response to Climate Change

Project Partner: Chloris Geospatial, Summer 2022

Project summary: Terrestrial biomass data are needed for carbon markets to function, and to assist in climate science projections.  However, these data are difficult to collect globally, so what is needed are surrogate data sources to enable estimation. Chloris Geospatial’s goal is to estimate global biomass using remote sensing data. During Daniel’s time with Chloris, he worked on statistical models of disparate datasets towards improving biomass estimation. This work will help bring the international community closer to an actionable carbon market currency.  The partnership resulted in the development of great working relationships and may turn into exciting opportunities down the road.

Project deliverables: 

Click here to see Daniel’s internship lightning talk.

Chloris Geospatial’s goal is to estimate global biomass using remote sensing data.

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