Jordan Graesser is a Staff Data Scientist based in Australia with nine years of expertise applying remote sensing and land use/land cover change science to agricultural and forest systems. His career spans academia and industry across the US, Australia and South America, moving from postdoctoral and research fellow roles into senior and staff data science positions at Indigo. Jordan combines deep domain knowledge in satellite-based monitoring with practical experience deploying data-driven solutions for real-world environmental challenges. He holds a PhD in Geography and a long track record in geographic information science dating back to roles at the US Census Bureau and Oak Ridge, which gives him uncommon fluency in both research methods and operational geospatial pipelines. A subtle strength is his ability to translate complex Earth-observation analyses into product-focused workflows that support decision-making in agriculture and natural resource management.
9 years of coding experience
8 years of employment as a software developer
Master of Science (M.S.), Geography, Master of Science (M.S.), Geography at South Dakota State University
Geography, Geography at Universidad Nacional de Tucumán
Geography, Geography at The Manchester Metropolitan University
Doctor of Philosophy (Ph.D.), Geography, Doctor of Philosophy (Ph.D.), Geography at McGill University
Geography, Geography at The University of British Columbia
Contributions:64 releases, 174 reviews, 316 commits in 3 years 10 months
sentinel-1pythonrasterdaskgeopackage
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