LADI: LAndslide Displacement Interpolation is a python library designed for performing high-spatial, high-temporal interpolation of landslide surface displacements. LADI is specifically useful for combining in-situ monitoring data with remote sensing geospatial data.
- Github repository: https://github.com/asenogles/ladi
- PyPI: https://pypi.org/project/ladi
- Click here to read the paper.
LADI was developed to serve as a method of combining high-spatial, low-temporal resolution data with low-spatial, high-temporal resolution data to produce a high-spatial, high-temporal interpolation. Specifically enabling the combination of high-spatial resolution landslide surface displacement data derived from remote-sensing sources (such as sequential lidar, photogrammetry, or InSAR) with high-temporal in-situ surface displacement data (such as in-place inclinometer, extensometer, or GNSS).
LADI has currently been tested on Linux and Microsoft Windows operating systems. It is recommended to install LADI within a virtual environment.
To install LADI from PyPI using pip:
pip install ladiTo build LADI from source. Download this repository and run:
python3 setup.py build_ext --inplaceNote: You will need to have the required build dependencies installed.
You can run the example on the provided test data:
python3 example.py