ladi 0.0.1

Fast multi-threaded high-spatial, high-temporal interpolation

LADI

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

Motivation

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).

Installation

LADI has currently been tested on Linux and Microsoft Windows operating systems. It is recommended to install LADI within a virtual environment.

Install using pip

To install LADI from PyPI using pip:

pip install ladi

Install from source

To build LADI from source. Download this repository and run:

python3 setup.py build_ext --inplace

Note: You will need to have the required build dependencies installed.

Example

You can run the example on the provided test data:

python3 example.py