Segmenting corn fields in Nebraska presents a significant research-intensive challenge. With over 2.5 million acres under cultivation, achieving spatiotemporally precise cropland data demands extensive investigation and analysis. This presentation will critically examine the open-source methodologies employed to generate and apply these datasets, highlighting the datasets and the analytical tools developed for their creation. In addition, the talk will briefly address the roles of OpenStreetMap and the Humanitarian OpenStreetMap Team in advancing the accessibility and accuracy of spatial data within agricultural research and the broader geospatial community.

Speaker Bio
I am a PhD candidate in geography from the New York/New Jersey area. My research utilizes remote sensing data and Geographic Information Systems (GIS) analyses to investigate dryland corn agriculture in Nebraska. I collaborate with the United States Department of Agriculture (USDA) and several private entities to explore issues related to crop yield, profitability, and the dynamics of agricultural land use change.