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- [Lidar](#lidar)
- [Geographic Data Mining](#geographic-data-mining)
- [Atmospheric Correction](#atmospheric-correction)
- [Agent-based Modeling](#agent-based-modeling)
- [Libraries](#libraries)
- [PaaS - Platform as a Service](#paas---platform-as-a-service)
- [SaaS - Software as a Service](#saas---software-as-a-service)
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* [Py6S](https://py6s.readthedocs.io/en/latest/) - Py6S is a interface to the Second Simulation of the Satellite Signal in the Solar Spectrum (6S) atmospheric Radiative Transfer Model through the Python programming language.
* [i.atcorr](https://grass.osgeo.org/grass70/manuals/i.atcorr.html) - GRASS GIS module that performs atmospheric correction using the 6S algorithm.
## Agent-based Modeling
* [Mesa](https://github.com/projectmesa/mesa) - Mesa is an Apache2 licensed agent-based modeling (or ABM) framework in Python.
* [NetLogo](https://ccl.northwestern.edu/netlogo/) - NetLogo is a multi-agent programmable modeling environment.
* [Repast](https://repast.github.io/) - The Repast Suite is a family of advanced, free, and open source agent-based modeling and simulation platforms.
* [MASON](https://cs.gmu.edu/~eclab/projects/mason/) - MASON is a fast discrete-event multiagent simulation library core in Java, designed to be the foundation for large custom-purpose Java simulations, and also to provide more than enough functionality for many lightweight simulation needs. MASON contains both a model library and an optional suite of visualization tools in 2D and 3D.
## Libraries
* [GDAL](http://www.gdal.org/) - Geospatial Data Abstraction Library (GDAL) is a translator library for raster and vector geospatial data formats.