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EDS Seminar Series
Remote Sensing
Modeling
Carbon

Integrating remote sensing data for forest carbon accounting

Forest carbon accounting needs quality models of standing carbon and fluxes. The Natural Capital Exchange connects forest landowners to net-zero innovators. The NCX data team is focused on estimating forest carbon fluxes at continental scales.

Title: Integrating remote sensing data for forest carbon accounting 

Speaker: Max Joseph, PhD 

Abstract: Forest carbon accounting needs quality models of standing carbon and fluxes. At the Natural Capital Exchange we connect forest landowners to net-zero innovators. The NCX data team is focused on estimating forest carbon fluxes at continental scales. 

Speaker Bio: Max Joseph is a full stack data scientist at NCX. Using Bayesian hierarchical models and deep learning, Max develops probabilistic models of forest carbon and deforestation using diverse observation earth data. His previous work spans diverse systems and approaches including species distribution models, extreme value theory, natural hazards, and disease ecology. Max received his PhD in ecology and evolutionary biology from CU Boulder, and previously worked as a data scientist at Earth LAb. 

Find more information about our EDS Seminar Series and sign-up for the listserv here: https://earthlab.colorado.edu/seminar