OpenTopography's Repositories

19 repositories

3D_ICP_Differencing
This repository provides tools for on-demand 3D topographic change detection using a windowed iterative closest point (ICP) algorithm. It calculates displacement and rotation fields from high-resolution topographic point clouds to quantify surface deformation, especially along active faults.
⭐ 22 🌐 Public
Data_Catalog_Spatial_Boundaries
Spatial boundaries of OpenTopography datasets in GeoJSON format
⭐ 9 🌐 Public
Data_QA-QC
No description
⭐ 0 🌐 Public
Intro_to_PDAL
Basic introduction to Point Data Abstraction Library (PDAL)
⭐ 5 🌐 Public
libicp
OpenTopography fork of the C++ Library for Iterative Closest Point fitting. Updated by Chelsea Scott cpscott1@asu.edu - LASlib integration
⭐ 3 🌐 Public
myHadoop
myHadoop 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.
⭐ 4 🌐 Public
Opal-Toolkit
Opal is a toolkit for that enables rapid deployment of scientific applications as Web services
⭐ 12 🌐 Public
OT_3DEP_Workflows
Jupyter Notebook-based workflows for programmatically accessing, processing, and visualizing 3D Elevation Program (3DEP) lidar data
⭐ 81 🌐 Public
OT_BulkAccess_COGs
OpenTopography 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.
⭐ 43 🌐 Public
OT_Tile_Index_Search
This repository contains a Jupyter notebook that demonstrates how to use OpenTopography tile indexes to programmatically find and download lidar data for specific regions. It also presents a cloud-native PDAL workflow for streaming and processing point cloud data on-the-fly without the need for local storage.
⭐ 3 🌐 Public
PointCloud_to_STL
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.
⭐ 22 🌐 Public
points2grid
Points2Grid 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.
⭐ 89 🌐 Public
RayShader
Notebook created by OpenTopography highlighting RayShader for 2D & 3D topographic data visualizations.
⭐ 5 🌐 Public
RGR-pdal-topo
Notebooks analyze Rio Grande Rift fault scarps and alluvial fans. Process 3DEP point clouds from AWS into DEMs and elevation profiles with pdal/gdal based modules. Compute topographic metrics and perform basic classification for geologic mapping applications. Supported by INTERN supplement to the OpenTopography NSF award at ASU (ID: 1948857)
⭐ 0 🌐 Public
RiverREM
Make river relative elevation models (REM) and REM visualizations from an input digital elevation model (DEM).
⭐ 232 🌐 Public
Segment_Anything_Model_Topography
Segment Anything Model for Topography Data
⭐ 5 🌐 Public
STAC-Examples
Example Notebooks for Accessing OpenTopography's SpatioTemporal Asset Catalog (STAC)
⭐ 0 🌐 Public
Vertical_Differencing
This repository contains tools and scripts for performing vertical differencing of high-resolution topographic data using GDAL. It enables calculation and visualization of surface elevation changes between multi-temporal datasets via raster subtraction.
⭐ 13 🌐 Public
Visualize_Topography_Data_In_Matlab
Matlab code to read and visualize point cloud and raster topography data.
⭐ 2 🌐 Public