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AlphaEarthHack - UT Austin Geoscience Hackathon

Our project seeks to leverage cutting-edge remote sensing analysis to identify and monitor land cover changes, with a focus on visualizing our changing world With effective and efficient data sources. By integrating advanced algorithms and datasets, we provide a comprehensive tool for understanding the dynamics of our changing planet. This tool will support researchers and the professionals in all different disciplines of geography and geology to detect, measure and analyze the changes that interest them.

If you're having a hard time understanding any part of this project and want explanations or if you want to run pretty visualizations that we've built, please check out this jupyter notebook (feel free to scroll past the long code segments) (note: the visualizations are interactive and cannot be run or seen on GitHub but there are screenshots down below).

Click here for an interactive dashboard.

dashboard

Mentor

Dr. Brendon Hall Sr. Manager in AI for Energy & Utilities, Deloitte. Our Mentor integrating physics based models, ML and DS to create transformative software tools for the oil and gas industry.

Alpha Team Members

Meet The Team

Technical Details

  • Open Source Libraries & Datasets:
    • Google DeepMind
    • Google AlphaEarth
    • LandTrendr
    • GeoAI
    • NumPy
    • tqdm
    • ipyleaflet
    • Google Earth Engine
    • Google Earth Engine map
    • Leaflet.js
    • Plotly.js

Reproducibility

Please fork this repo and clone it. Use Python 3.12.11 and make sure you installed Jupyter Notebook to run the notebooks in this project.

Interactive Dashboard Details

The interactive dashboard is built with standard web technologies like HTML, CSS, and JavaScript, and leverages the powerful open-source libraries Leaflet.js and Plotly.js to create interactive maps and data visualizations.

Presentation & Visualizations

In addition to our PDF presentation, a key feature of our project is the interactive dashboard that allows for dynamic exploration of the data and results.

Here are some other visualizations from our project:

Global View Years Side-By-Side
Global View Years Side by Side
Cosine Similarity (shows areas of change) Similar Feature Detection
Cosine Similarity Search
AlphaEarth Magnitude AlphaEarth Duration
AE_Mag_masked_Austin AE_Dur_masked_Austin
LandTrendr Magnitude LandTrendr Duration
LandTrendr_Mag_masked_Austin LandTrendr_Dur_masked_Austin
AlphaEarth Sample Cosine Similarity
AE_sample_A01_A16_A09_Austin AE_sample_cosine_similarity_2023_24_Austin
AE Mag Austin AE Yoc masked Austin
AE_Mag_Austin AE_Yoc_masked_Austin
Interactive AE dissimilarity plot TESLA Austin Interactive AE exporting options TESLA Austin
Interactive_AE_dissimilarity_plot_TESLA_Austin Interactive_AE_exporting_options_TESLA_Austin
Interactive AE layers TESLA Austin Interactive AE mask Berkeley CA
Interactive_AE_layers_TESLA_Austin Interactive_AE_mask_Berkeley_CA
LandTrendr Mag Austin LandTrendr Yoc masked Austin
LandTrendr_Mag_Austin LandTrendr_Yoc_masked_Austin

References and Citations

Brown, C. F., Kazmierski, M. R., Pasquarella, V. J., et al. (2025). AlphaEarth Foundations: An embedding field model for accurate and in-depth global mapping from sparse label data. arXiv preprint arXiv:2507.22291. https://arxiv.org/abs/2507.22291

da Costa-Luis, C. O. (2019). tqdm: A Fast, Extensible Progress Meter for Python and CLI. Journal of Open Source Software, 4(37), 1277. https://doi.org/10.21105/joss.01277

Google DeepMind. (2023). https://deepmind.google/

Gorelick, N., Hancher, M., Dixon, M., Ilyushchenko, S., Thau, D., & Moore, R. (2017). Google Earth Engine: Planetary-scale geospatial analysis for everyone. Remote Sensing of Environment, 202, 18–27. https://doi.org/10.1016/j.rse.2017.06.031

Harris, C. R., Millman, K. J., van der Walt, S. J., Gommers, R., Virtanen, P., Cournapeau, D., … Oliphant, T. E. (2020). Array programming with NumPy. Nature, 585, 357–362. https://doi.org/10.1038/s41586-020-2649-2

ipyleaflet developers. (2023). ipyleaflet (Version 0.17.2) [Computer software]. https://github.com/jupyter-widgets/ipyleaflet

Janowicz, K., Gao, S., McKenzie, G., Hu, Y., & Bhaduri, B. (2020). GeoAI: spatially explicit artificial intelligence techniques for geographic knowledge discovery and beyond. International Journal of Geographical Information Science, 34(4), 625–636. https://doi.org/10.1080/13658816.2019.1684500

Kennedy, R. E., Yang, Z., Gorelick, N., Braaten, J., Cavalcante, L., Cohen, W. B., & Healey, S. (2018). Implementation of the LandTrendr Algorithm on Google Earth Engine. Remote Sensing, 10(5), 691. https://doi.org/10.3390/rs10050691

Agafonkin, V., & Leaflet Contributors. (n.d.). Leaflet: An open-source JavaScript library for interactive maps. Retrieved October 12, 2025, from https://leafletjs.com

Plotly Technologies Inc. (2015). Collaborative data science. Plotly Technologies Inc. https://plot.ly

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