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anniebritton/README.md

🌎 About Me

Lead Earth Scientist @ Earth Finance (Formerly Climate Engine) | 2x NASA DEVELOPer

👋 My name is Annie Britton, and I'm an applied scientist passionate about digging into Earth science data to provide actionable information about our planet.

⌨️ Technical Skills

  • Programming Languages: Python (pandas, NumPy, Dask, xarray, zarr, netCDF4, scikit-learn, scipy, PyTorch, geopandas, shapely, fiona, gdal, rasterio, rioxarray, Matplotlib), R, JavaScript, SQL, Unix Command Line/Bash
  • Cloud & Dev Tools: Google Cloud Platform (BigQuery, Vertex AI, Cloud Storage), GitHub, PyCharm, Argo
  • AI/ML: LLM applications, RAG, XAI methods (SHAP, LIME), supervised and unsupervised ML
  • Geospatial Tools: Google Earth Engine (Code Editor, Python API), QGIS, ArcGIS, Tableau

🛰️ Recent Publications

  • Britton, A., & Pritchard, I. (Forthcoming, 2025). Projecting climate-driven changes in agro-ecological suitability for specialty crops using FAO ECOCROP and Earth observation data [Conference Abstract]. American Geophysical Union (AGU) Fall Meeting 2025, New Orleans, LA, USA.
  • Pritchard, I., & Britton, A. (Forthcoming, 2025). Assessing freshwater biodiversity intactness using a global basin-level connectivity index [Conference Abstract]. American Geophysical Union (AGU) Fall Meeting 2025, New Orleans, LA, USA.
  • Britton, A., Graham, G., & Woloszyn, M. (2024). Exploring Relationships between Drought Indices and Ecological Drought Impacts using Machine Learning and Explainable AI. Journal of Applied and Service Climatology, 2024. https://doi.org/10.46275/JOASC.2024.09.001
  • Mendrinos, A., O’Brien, J., Davis, M., Baldwin, A., Zaitchik, B., Britton, A., Mwanja, I., & Gohlke, J. (2024). Association between summertime emergency department visits and maximum daily heat index in rural and non-rural areas of Virginia (2015-2022). Science of The Total Environment, 948. https://doi.org/10.2139/ssrn.4736254
  • Williams, M., Peppelenbos, L., White, C., Pritchard, I., Britton, A., Smith, G., & Herring, J. (2024). Leveraging Geospatial & AI For Biodiversity Finance: A Case Study Of Mining. Climate Engine [White Paper]. http://climateengine.com/site/assets/uploads/2024/09/Geospatial-and-AI-for-Biodiversity-Finance.pdf
  • Britton, A. (2023). An Interpretable Machine Learning Model to Explore Relationships between Drought Indices and Ecological Drought Impacts in the Cheyenne River Basin, USA. [Master’s Thesis, Johns Hopkins Department of Environmental Sciences and Policy]. http://jhir.library.jhu.edu/handle/1774.2/68152
  • Britton, A., An, D., Geraty, S., & Nixon, C. (2022). Evaluating Rock Pool Hydroperiod Fluctuation Using Climate Variables To Inform Habitat Monitoring And Protection In The Western Sonoran Desert. NTRS - NASA Technical Reports Server. https://ntrs.nasa.gov/citations/20220013384
  • Jaenicke, M., Britton, A., Brown, A., & Megraw, L. (2022). Utilizing Aerial Imagery And NASA Earth Observations To Assess Pinyon-Juniper Tree Mortality In Flagstaff, AZ. NTRS - NASA Technical Reports Server. https://ntrs.nasa.gov/citations/20220006383
  • Jaenicke, M., Britton, A., Brown, A., & Megraw, L. (2022). A Pinyon-Juniper Tree Mortality Detection Framework Utilizing Aerial Imagery and NASA Earth Observations. NTRS - NASA Technical Reports Server. https://ntrs.nasa.gov/citations/20220009414

Pinned Loading

  1. Ecological-Drought-ML-Modeling Ecological-Drought-ML-Modeling Public

    📊🛰️ Data processing scripts, ML models, and Explainable AI results created as part of my Masters Thesis @ Johns Hopkins

    Jupyter Notebook 7 3

  2. NASA-Extreme-Weather-Geohealth-Research NASA-Extreme-Weather-Geohealth-Research Public

    ☂️🛰️ This work is for a NASA-funded project using Earth observations to improve methods available for estimating the health damages of extreme weather events in Texas.

    R 4 2