With exponential growth in environmental data collection, the curation and dissemination of high-quality datasets and metadata is paramount. This is especially key in order for observational data to be used in Earth and environmental systems modeling. The goal of this webinar is to bring together scientists with data and information technology practitioners to spur discussions about the linkages between data and network resources and efforts to enhance data usage for modeling and model integration.
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.
Make sure to attend NEON project and data related presentations at this year's AGU meeting to learn more about what we've been up to for the past year. It's been a busy, productive year for the Obervatory with significant progress made on construction of field sites, field sampling, sensor installation, remote sensing data collection, production of data products and delivery of data to the data portal.
A demo/discussion/workshop on eddy4R-Docker presented by NEON/Battelle atmospheric scientists. Eddy-4R Docker users can easily construct end-to-end workflows from raw NEON data to hypothesis testing in single processing environment.