Sean Carter

About Sean Carter

Geospatial Data Scientist leveraging remote sensing and machine learning to bridge the gap between environmental data and agricultural decision-making. Also a former field biologist and a classical pianist 🦜. With 5+ years of experience, I develop scalable geospatial solutions that transform complex satellite imagery into actionable insights.Currently leading development of the Annual Cropland Extent project, mapping agricultural land use across 260 million square kilometers using deep learning (UNET) with 90% accuracy. This work enables differentiation between short-term cultivation patterns and longer-term land-use legacies assessing biodiversity and ecosystem services, providing critical data for sustainable land management.My technical expertise includes:Google Earth EngineRemote sensing data analysisGeospatial Python programmingDeep learning/machine learning for image classificationLand Use Change MappingPreviously contributed to projects spanning fire detection algorithms, supply chain resilience against climate events, and predictive frameworks for invasive species management. My work combines technical proficiency with ecological understanding to deliver solutions that meet rigorous scientific standards- MS in Systems Ecology (University of Montana) and BA in Organismal Biology and Ecology (Colorado College)- Published researcher with expertise in using geospatial data science to address environmental challenges.Connect with me to discuss remote sensing, geospatial analysis, and sustainable climate solutions.

Experience

1. Geospatial Data Scientist

   Leidos

   Aug 2025 — Present

Education

• Colorado College

  Bachelor of Arts - BA, Ecology and Evolutionary Biology

• University of Montana

  Master's degree, Systems Ecology