Kate is a Senior Solution Engineer on Esri's National Government team. Based in New York City, she has a background in remote sensing and environmental science. Kate currently supports National Statistics Offices globally, helping them modernize their census and statistics operations using GIS.
Join SDMX (Statistical Data and Metadata eXchange) data to geographic points or boundaries to use your data throughout the ArcGIS system.
Prepare your environment to run out-of-the-box deep learning geoprocessing tools in ArcGIS Pro.
Fine-tune Esri’s existing deep learning models with your own training data to improve accuracy for your area of interest.
Run Quality Assurance/ Quality Control (QA/QC) workflows on your inferenced features such as building footprints.
Evaluate your imagery for deep learning and get started using out-of-the-box models such as building footprint extraction.
