AUTHORS: Katie Budreski*, Jonnie Dunne, Lauren Padilla – Stone Environmental
ABSTRACT: As GIS analysts and data scientists, we rely on the high quality datasets prepared by authoritative sources, such as the National Land Cover Database (NLCD) published by the Multi-Resolution Land Characteristics Consortium (MRLC) and the Cropland Data Layer (CDL) published by the National Agriculture Statistics Service (NASS). These datasets allow us to do powerful and meaningful nationwide analyses. But to fully trust the data for planning and decision making, we need to understand its limitations and incorporate known uncertainty into analyses. Additionally, ancillary data and machine learning can be used to improve locational and information confidence, such as high resolution imagery and image segmentation.
Tuesday October 30, 2018 9:00am - 9:30am EDT
Broadway 3
