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Currently, the best source for nationwide LiDAR availability from public sources is the United States Interagency Elevation Inventory (USIEI). [1] The USIEI is a collaborative effort of NOAA and the U.S. Geological Survey, with contributions from the Federal Emergency Management Agency, the Natural Resources Conservation Service, the US Army Corps of Engineers, and the National Park Service.
This is a list of free and open-source software for geological data handling and interpretation. The list is split into broad categories, depending on the intended use of the software and its scope of functionality. Notice that 'free and open-source' requires that the source code is available and users are given a free software license.
A national lidar dataset refers to a high-resolution lidar dataset comprising most—and ideally all—of a nation's terrain. Datasets of this type typically meet specified quality standards and are publicly available for free (or at nominal cost) in one or more uniform formats from government or academic sources.
Without a continual flow of labeled data, bottlenecks can occur and the algorithm will slowly get worse and add risk to the system. It's why labeled data is so critical for companies like Zoox ...
LuciadLightspeed consists of over 100 different software components and connectors to fuse, visualize and analyze geospatial data. This can include static and moving data, maps, satellite imagery, crowd-sourced data, full motion video, weather data and terrain elevation in many different geodetic references and map projections.
Whitebox GAT contains more than 385 tools to perform spatial analysis on raster data sets. The following is an incomplete list of some of the more commonly used tools: GIS tools: Cost-distance analysis, buffer, distance operations, weighted overlays, multi-criteria evaluation, reclass, area analysis, clumping
The Integrated Data Viewer (IDV) from Unidata/UCAR is a Java based software framework for analyzing and visualizing geoscience data. The IDV release includes a software library and a reference application made from that software. It uses the VisAD library and other Java-based utility packages.
GRASS GIS contains over 350 modules to render maps and images on monitor and paper; manipulate raster and vector data including vector networks; process multispectral image data; and create, manage, and store spatial data. It is licensed and released as free and open-source software under the GNU General Public License (GPL).