Scaling-up ecological patterns and processes is crucial to understanding the effects of environmental change on natural systems and human society. This Data Science Challenge pilot will include the use of NEON data in a challenge that multiple groups will attempt: to use the same remote sensing data from low flying airplanes to infer the location and type of trees in forests, and in turn, allow researchers to study forests in detail at much larger scales than is currently possible. This kind of collaborative data analysis challenge has proven highly effective in other fields for quickly improving methods for converting image data to useful information.
This challenge is sponsored by the National Institute of Standards Technology as part of it鈥檚 Data Science Evaluation series and is also partially supported by he Gordon and Betty Moore Foundation鈥檚 Data-Driven Discovery Initiative through .It uses data from the in addition to data collected by the organizers. It is being organized by the , the , and all at the .
United States