I’m a Ph.D student in the Graduate School of Geography at Clark University researching ways of bringing experimentation and play into how we work with geospatial data and machine learning. My work involves:
- Building tools for creating and curating high-quality geospatial data with a minimum of frustration and monotony
- Benchmarking and comparing Geospatial Foundation Models
- Exploration of the hidden meaning in the embedding space of remote sensing/GeoAI
Reach out to me if you’re interested in collaborating on:
- Human-in-the-loop training for geospatial machine learning
- Downstream applications of GeoAI embeddings
- Applying game design and UX principles to remote sensing
dgodwin@clarku.edu | GitHub | ORCiD
Read my CV
Key Projects
Collaboration with NASA and IBM to create and test a landmark remote sensing foundation model.
Inter-model comparison of geospatial foundation model embeddings for Clark CGA.
Reusable open-source mapping tools and mapathon in collaboration with FARR-RCN.
Online Stories
Sprinting to space: Goddard, NASA, and Clark’s pathbreaking work in geospatial analytics
Presented on Geospatial Exploration of Latent Embedding Space (GELOS) at the Cloud Native Geospatial sprint, collaborating on defining conventions for geospatial embeddings: https://geoembeddings.org/
AGU recognizes researchers from Clark's Center for Geospatial Analytics
2025 AGU Open Science Recognition Prize for work on Prithvi Geospatial Foundation Model.
Shaping the Future of Earth Science: Clark CGA at AGU 2025
Presenting at AGU 2025 for Geospatial Exploration of Latent Embedding Space (GELOS).
GIS Week mapathon expands rooftop solar dataset
Mapathon for Mapping Rooftop Solar Across New England at Clark University.
Unlocking Solar Potential: A New Dataset Takes Center Stage
Receiving the FARR-RCN grant for Mapping Rooftop Solar Across New England.
Clark team receives NASA Marshall Group Achievement Award
Awarded August 2024 for work on Prithvi Geospatial Foundation Model.
Clark geospatial team partners with NASA, IBM to harness AI technology
Start of collaboration for Prithvi Geospatial Foundation Model.