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* [MCC-LIDAR](https://sourceforge.net/projects/mcclidar/) - Multiscale Curvature Classification for LIDAR Data.
* [lidR](https://github.com/Jean-Romain/lidR) - R package for airborne LiDAR data manipulation and visualisation for forestry application.
* [Entwine](https://github.com/connormanning/entwine) - Point cloud indexing for massive datasets.
* [Quick Terrain Modeler](http://appliedimagery.com/) - Proprietary LiDAR exploitation software by Applied Imagery.
* [TopoDOT](https://new.certainty3d.com/) - Proprietary software for extracting topography, 3D models, GIS Assets, and more from point cloud data.
## Geographic Data Mining
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* [USGS API](https://github.com/kapadia/usgs) - USGS is a python module for interfacing with the US Geological Survey's API.
* [som-tsp](https://github.com/DiegoVicen/som-tsp) - Solving the Traveling Salesman Problem using Self-Organizing Maps.
* [Centroids]9https://github.com/lyzidiamond/centroids) - This application reads a valid geojson FeatureCollection and returns a valid geojson FeatureColleciton of centroids.
* [sentinelsat](https://github.com/sentinelsat/sentinelsat) - Search and download Copernicus Sentinel satellite images.
## Java
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* [lucCalculus](https://github.com/e-sensing/lucCalculus) - Spatiotemporal calculus for land use change trajectories.
* [lidR](https://github.com/Jean-Romain/lidR) - R package for airborne LiDAR data manipulation and visualisation for forestry application.
* [uavRst](https://github.com/gisma/uavRst) - UAV related Remote Sensing Toolbox.
* [getSpatialData](https://github.com/16EAGLE/getSpatialData) - An R package making it easy to query, preview, download and preprocess multiple kinds of spatial data via R.
## Mobile Development