Computational Notebooks

OpenTopography's Computational Notebooks

Programmatic Access to OpenTopography’s Cloud Optimized GeoTIFF (COG) Global Datasets: This notebook demonstrates several methods of accessing data over the Grand Canyon from the cloud-based NASA Shuttle Radar Topography Mission (SRTM) catalog in OpenTopography.  It also demonstrates how Cloud Optimized GeoTIFFs (COGs) can be used to reduce download file sizes as well as increase data access speeds.

Creating 3D Landscapes with OpenTopography and Rayshader: This is an R Markdown Notebook created by OpenTopography profiling the RayShader package. This package utilizes a combination of raytracing and multiple hill shading methods to produce 2D and 3D data visualizations and maps.

Subsampling Lidar Point Clouds for STL Output: This notebook uses a Voxel subsampling method for point cloud data thinning. After the point cloud has been thinned, triangulation is computed to create a mesh which can be exported as a STL file and opened in a variety of 3D modeling software.