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 (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.
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.
- Open Source Libraries & Datasets:
- Google DeepMind
- Google AlphaEarth
- LandTrendr
- GeoAI
- NumPy
- tqdm
- ipyleaflet
- Google Earth Engine
- Google Earth Engine map
- Leaflet.js
- Plotly.js
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.
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.
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 |
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| Cosine Similarity (shows areas of change) | Similar Feature Detection |
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| AlphaEarth Magnitude | AlphaEarth Duration |
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| LandTrendr Magnitude | LandTrendr Duration |
|---|---|
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| AlphaEarth Sample | Cosine Similarity |
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| AE Mag Austin | AE Yoc masked Austin |
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| Interactive AE dissimilarity plot TESLA Austin | Interactive AE exporting options TESLA Austin |
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| Interactive AE layers TESLA Austin | Interactive AE mask Berkeley CA |
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| LandTrendr Mag Austin | LandTrendr Yoc masked Austin |
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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



















