4DGeo is an open-source, modular, super lightweight, web-based interactive dashboard application for visualizing your geodata time series captured with a continuous and even ongoing 3D environmental monitoring station (e.g. LiDAR, 3D photogrammetry, smartphone).
The following are some example dashboards with sample data from different research projects:
- Tree branch evolution (Dashboard) - The corresponding Python Notebook for more details
- Bee monitoring (Dashboard) - The corresponding Python Notebook for more details
- Rockfall monitoring (Dashboard) - The corresponding Python Notebook for more details
You can access a hosted version of the app here and create your own dashboard in no time!
To show how easy it is to visualise your data with a 4DGeo dashboard, we've prepared a short Python Notebook tutorial. It demonstrates how a series of point clouds can be projected into images and displayed within the dashboard.
The process involves just two simple steps:
- Prepare your data: Convert your list of images into the 4DGeo data model. This is what's done in the above mentioned Python Notebook.
- Configure your dashboard: Either load a predefined layout or create your own with our dashboard creation page
To run this Notebook yourself, just open a command line in your target directory and follow the conda environment installation steps
Thorough online documentation on the dashboard can be found here. Feel free to use the notebook implementation examples as a starting point, and remember to cite this repository.
Contributions are welcome! If you have suggestions or feature requests, feel free to open an issue. For your own implementations, you can also fork this repository.