OpenTopography Tool Registry

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The OpenTopography Tool Registry provides a community populated clearinghouse of software, utilities, and tools oriented towards high-resolution topography data (e.g. collected with lidar technology) handling, processing, and analysis. Tools registered below range from source code to full-featured software applications. We welcome contributions to the registry via the Contribute a Tool page.

Disclaimer
Appearance of a tool in the OpenTopography Tool Registry does not imply endorsement, recommendation, or support, by the NSF OpenTopography Facility and is meant simply as a service to our users. OpenTopography does not guarantee the completeness or accessibility of specific content and links contributed by users. If you have been directly involved with the development of a registered tool and are not the original contributor of the tool to the registry, please email info@opentopography.org to supply updates or modifications to its entry.
Date   Tool Name Tool Type Keywords Rating
24 Nov 2010 GRASS GIS (Geographic Resources Analysis Support System)

Description: GRASS is free Geographic Information System (GIS) software used for geospatial data management and analysis, image processing, graphics/maps production, spatial modeling, and visualization. GRASS is currently used in academic and commercial settings around the world, as well as by many governmental agencies and environmental consulting companies. GRASS is an official project of the Open Source Geospatial Foundation.

GRASS has a number of functions related to lidar and high-resolution DEM processing and analysis. lidar specific elements of GRASS are discussed here: http://grass.osgeo.org/wiki/LIDAR
 
Software Suite grass, gis, osgeo
(1 rating)
3 Dec 2018 scarplet

Description: scarplet is a Python package for detecting and relatively dating landforms like fault scarps in DEMs. It implements curvature based landform templates that can be used to estimate the maturity of a feature by diffusion dating or detect distinctive topographic features.
 
DEM Analysis Python, fault scarp, edge detection, image processing, diffusion dating
(0 rating)