https://github.com/continuous-dems/globato
Globato is the user-facing geospatial engine of the ContinUous-DEMs ecosystem. It is designed for the rapid development, blending, and processing of high-accuracy Topo-Bathy Digital Elevation Models (DEMs).
https://github.com/continuous-dems/globato
data-science dems elevation etl gis
Last synced: about 2 months ago
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Globato is the user-facing geospatial engine of the ContinUous-DEMs ecosystem. It is designed for the rapid development, blending, and processing of high-accuracy Topo-Bathy Digital Elevation Models (DEMs).
- Host: GitHub
- URL: https://github.com/continuous-dems/globato
- Owner: continuous-dems
- License: mit
- Created: 2026-02-12T00:53:41.000Z (4 months ago)
- Default Branch: main
- Last Pushed: 2026-04-23T05:03:53.000Z (about 2 months ago)
- Last Synced: 2026-04-23T05:15:25.815Z (about 2 months ago)
- Topics: data-science, dems, elevation, etl, gis
- Language: Python
- Homepage: https://globato.readthedocs.io/en/latest/
- Size: 549 KB
- Stars: 3
- Watchers: 0
- Forks: 0
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
GloBaTo
Domo Arigato, Multi-Resolution Globato.
**Globato** is the user-facing geospatial engine of the Continuous-DEMs ecosystem. It is designed for the rapid development, blending, and processing of high-accuracy Topo-Bathy Digital Elevation Models (DEMs).
Built on top of the `fetchez` (orchestration) and `transformez` (horizontal and vertical datums) libraries, `globato` abstracts away the complexity of DEM development. It allows users to generate massive, seamless DEMs using declarative YAML recipes or intuitive command-line tools.
---
## ❓ Why Globato?
Traditional DEM generation is often a disjointed, manual process of hunting down, organizing and processing disparate datasets using a wide variety of software and one-off processing scripts.
**Globato standardizes this workflow** by unifying data fetching, spatial filtering, datum transformations, and gridding into a single, memory-safe streaming pipeline. Using declarative YAML recipes, it allows you to orchestrate massive, reproducible Topo-Bathy DEMs directly from your terminal!
---
## 📦 Installation
Install via pip (this will automatically pull in the `fetchez` and `transformez` dependencies):
```bash
pip install globato
```
## 🐄 Quickstart
If you are new to Globato, the best place to start is the Quickstart guide, which will take you from installation to generating your first DEM in under 5 minutes.
* **[Quickstart: From Zero to DEM in 1 arc-second](https://globato.readthedocs.io/user_guide/quickstart.md)**
---
## 📚 Documentation
Would you like to know more? Check out our [Official Documentation](https://globato.readthedocs.io) to learn about:
* **The Python API:** Build custom Digital Elevation Models and process elevation data in your apps.
* **The Globato CLI:** Generate and run globato recipes, fetch elevation data sources, visualize your data all in the command line.
* **DEM Recipes:** Build reproducable DEMs using simple YAML recipes.
---
## ⚖ License
This project is licensed under the MIT License - see the [LICENSE](https://github.com/continuous-dems/fetchez/blob/main/LICENSE) file for details.
Copyright (c) 2010-2026 Regents of the University of Colorado