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.
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 firstname.lastname@example.org to supply updates or modifications to its entry.
Description: Landlab is a Python-based modeling environment that allows scientists and students to build numerical landscape models. Landlab was designed for disciplines that quantify earth surface dynamics such as geomorphology, hydrology, glaciology, and stratigraphy, but can also be used in related fields.
Landlab provides components to compute flows (such as water, sediment, glacial ice, volcanic material, or landslide debris) across a gridded terrain. With its robust, reusable components, Landlab allows scientists to quickly build landscape model experiments and compute mass balance across scales.