Landslides are a 4D problem varying across both space and time. At the present landslide monitoring solutions provide either high-spatial resolution data (such as remote-sensing methods), or high-temporal resolution data (such as in-situ monitoring data). I developed LADI (LAndslide Displacement Interpolation) as a method of performing high-spatial, high-temporal data fusion of remote-sensing and in-situ monitoring data. LADI has been further developed into an open-source python library capable of fast multithreaded operation.
The LADI github repository can be found here.