John Hogland
Sessions
09-09
09:00
180min
Environment setup and predictive modeling
John Hogland
In this workshop we will explore how to set up a geospatial data science environment, use that environment to create a well spread and balanced sample, and estimate canopy cover from data derived from STAC, OSM, and REST services.
Use Case and Applications
Missouri S&T
09-10
10:30
30min
Transforming data into useful information for natural resource decision making
John Hogland
Raster Tools easily scales across various hardware configurations and lowers the barriers for parallel processing for spatial, statistical, and machine learning procedures; further advancing researchers’ and practitioners’ abilities to transform data into useful information for decision making.
Use Case and Applications
Grand C