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- Jupyter Notebook-based workflows for programmatically accessing, processing, and visualizing 3D Elevation Program (3DEP) lidar data
- Segment Anything Model for Topography Data
- Basic introduction to Point Data Abstraction Library (PDAL)
- Matlab code to read and visualize point cloud and raster topography data.
RiverREM
PublicMake river relative elevation models (REM) and REM visualizations from an input digital elevation model (DEM).3D_Differencing
Public3D differencing in OpenTopography - Author: Chelsea Scott [email protected]libicp
PublicOpenTopography fork of the C++ Library for Iterative Closest Point fitting. Updated by Chelsea Scott [email protected] - LASlib integrationPointCloud_to_STL
PublicThis 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.OT_BulkAccess_COGs
PublicOpenTopography has recently converted its entire global dataset collection to COGs. This notebook example highlights the power of Cloud Optimized GeoTIFFs (COGs) and how they can be used to reduce download filesizes as well as increase data access speeds.RayShader
PublicOpal-Toolkit
PublicVertical_Differencing
PublicData_QA-QC
PublicmyHadoop
PublicmyHadoop is a simple system for end-users to provision Hadoop instances on traditional supercomputing resources, without requiring any root privileges. Users may use myHadoop to configure and instantiate Hadoop on the fly via regular batch scripts.points2grid
PublicPoints2Grid is a robust and scalable tool for gridding LIDAR point cloud data to generate Digital Elevation Models (DEM). Points2Grid uses a local gridding method to compute grid cell elevation using a neighborhood defined around each cell based on a search radius provided by the user.