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-t...

I have recently been working on a new approach to measuring spatially dense 3D landslide displacement using lidar DEMs. By using simulation powered self-supervised learning, we can train a site spe...

I developed a fast, multithreaded python library for performing 3D landslide modelling and simulation. This was developed as part of my recent work to train optical flow predictors for landslide ch...

Recently, I’ve been working on developing self-supervised deep learning models for raster processing (specifically processing DEMs). Generating labelled training data as part of the self-supervised...

I designed, developed, built, and deployed a network of real-time RTK-GNSS sensors for monitoring two landslides on the Oregon Coast. A demo, which includes access to real-time data over the previo...

Agisoft Metashape is a popular software program for processing digital imagery into pointclouds, digital elevation models (DEMs), and orthomosaic images using photogrammetric and structure from mot...

Accurately estimating the trajectory of a sensor is essential when trying to construct a geospatial model using data captured by the sensor. In the case of UAS (unmanned aircraft systems) imagery, ...

After a recent trip to Christchurch, New Zealand in December 2019 to collect lidar data before and after blast-induced liquefaction testing. I created a web visualization of the data using potree. ...

In geotechnical engineering real time inclinometers are a commonly used tool in landslide exploration, monitoring and mitigation. This consists of the installation of an array of accelerometers int...

Like all scientists, those in the geospatial realm put a lot of work into writing papers. While academic papers are great for presenting ideas, their 2D nature is not ideal for presenting geospatia...