IDTreeS data science challenge

Understanding and managing forests is crucial to understanding and potentially mitigating the effects of climate change, invasive species, and shifting land use on natural systems and human society. However, collecting data on individual trees in the field is expensive and time consuming, which limits the scales at which this crucial data is collected. Remotely sensed imagery from satellites, airplanes, and drones provide the potential to observe ecosystems at much larger scales than is possible using field data collection methods alone. This data science competition focuses on using remote sensing data to quantify the locations, sizes and species identities of millions of trees and on determining how these methods generalize to other forests.

The next round of this challenge will begin in late 2019. Anyone is welcome to participate, working as teams or individuals.

Sign up to receive more information in the next few weeks.


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About the Data Science Challenge