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@ -208,22 +208,22 @@ Long list of geospatial analysis tools. Geospatial analysis, or just spatial ana
* [MapTiler Server](https://www.maptiler.com/server/) - Map server for self-hosting. Publish interactive maps to get map services from your own server or laptop. * [MapTiler Server](https://www.maptiler.com/server/) - Map server for self-hosting. Publish interactive maps to get map services from your own server or laptop.
* [Nanocubes](https://github.com/laurolins/nanocube) - An in-memory data structure for spatiotemporal data cubes. * [Nanocubes](https://github.com/laurolins/nanocube) - An in-memory data structure for spatiotemporal data cubes.
* [PGRestAPI](https://github.com/spatialdev/PGRestAPI) - Node.js REST API for PostGres Spatial Entities. AKA: SpatialServer. * [PGRestAPI](https://github.com/spatialdev/PGRestAPI) - Node.js REST API for PostGres Spatial Entities. AKA: SpatialServer.
* [Terracotta](https://github.com/DHI-GRAS/terracotta) - A light-weight, versatile XYZ tile server. MIT-licensed, pure , serving Cloud-Optimized GeoTIFF (COG). * [Terracotta](https://github.com/DHI-GRAS/terracotta) - A light-weight, versatile XYZ tile server. MIT-licensed, pure Python, serving Cloud-Optimized GeoTIFF (COG).
* [THREDDS](https://github.com/Unidata/thredds) - The THREDDS Data Server (TDS) is a web server that provides metadata and data access for scientific data sets, using OPeNDAP, OGC WCS, HTTP, and other data access protocols. * [THREDDS](https://github.com/Unidata/thredds) - The THREDDS Data Server (TDS) is a web server that provides metadata and data access for scientific data sets, using OPeNDAP, OGC WCS, HTTP, and other data access protocols.
* [utilery](https://github.com/tilery/utilery) - Micro vector tile manufacturing from PostGIS. * [utilery](https://github.com/tilery/utilery) - Micro vector tile manufacturing from PostGIS.
* [Zoo Project WPS](http://www.zoo-project.org/) - A WPS (Web Processing Service) implementation written in C, and JavaScript. It is an open source platform which implements the WPS 1.0.0 and WPS 2.0.0 standards edited by the Open Geospatial Consortium (OGC). It provides a developer-friendly framework for creating and chaining WPS compliant Web Services. * [Zoo Project WPS](http://www.zoo-project.org/) - A WPS (Web Processing Service) implementation written in C, Python and JavaScript. It is an open source platform which implements the WPS 1.0.0 and WPS 2.0.0 standards edited by the Open Geospatial Consortium (OGC). It provides a developer-friendly framework for creating and chaining WPS compliant Web Services.
## Radar ## Radar
* [GAMMA](https://www.gamma-rs.ch/software) - Allows processing of SAR, interferometric SAR (InSAR) and differential interferometric SAR (DInSAR). * [GAMMA](https://www.gamma-rs.ch/software) - Allows processing of SAR, interferometric SAR (InSAR) and differential interferometric SAR (DInSAR).
* [GMT5SAR](https://topex.ucsd.edu/gmtsar/) - InSAR processing system based on GMT. * [GMT5SAR](https://topex.ucsd.edu/gmtsar/) - InSAR processing system based on GMT.
* [LiCSBAS](https://github.com/yumorishita/LiCSBAS) - LiCSBAS is an open-source package in and bash to carry out InSAR time series analysis using LiCSAR products. * [LiCSBAS](https://github.com/yumorishita/LiCSBAS) - LiCSBAS is an open-source package in Python and bash to carry out InSAR time series analysis using LiCSAR products.
* [NANSAT](https://github.com/nansencenter/nansat) - Nansat is a scientist friendly toolbox for processing 2D satellite earth observation data. * [NANSAT](https://github.com/nansencenter/nansat) - Nansat is a scientist friendly Python toolbox for processing 2D satellite earth observation data.
* [PolSARpro](https://earth.esa.int/web/polsarpro) - Open source radar image data processing software. * [PolSARpro](https://earth.esa.int/web/polsarpro) - Open source radar image data processing software.
* [PyRate](https://github.com/GeoscienceAustralia/PyRate) - A tool for estimating velocity and time-series from Interferometric Synthetic Aperture Radar (InSAR) data. * [PyRate](https://github.com/GeoscienceAustralia/PyRate) - A Python tool for estimating velocity and time-series from Interferometric Synthetic Aperture Radar (InSAR) data.
* [pyroSAR](https://github.com/johntruckenbrodt/pyroSAR) - A Framework for Large-Scale SAR Satellite Data Processing. * [pyroSAR](https://github.com/johntruckenbrodt/pyroSAR) - A Python Framework for Large-Scale SAR Satellite Data Processing.
* [PySAR](https://github.com/insarlab/PySAR) - InSAR time series analysis in . * [PySAR](https://github.com/insarlab/PySAR) - InSAR time series analysis in Python.
* [SARbian](https://eo-college.org/sarbian/) - Free and open SAR operating system (based on Debian Linux). * [SARbian](https://eo-college.org/sarbian/) - Free and open SAR operating system (based on Debian Linux).
* [Sarmap](https://www.sarmap.ch/index.php/software/sarscape/) - Synthetic Aperture Radar processing software. * [Sarmap](https://www.sarmap.ch/index.php/software/sarscape/) - Synthetic Aperture Radar processing software.
* [SARPROZ](https://www.sarproz.com/) - Implements a wide range of Synthetic Aperture Radar (SAR), Interferometric SAR (InSAR) and Multi-Temporal InSAR processing techniques. * [SARPROZ](https://www.sarproz.com/) - Implements a wide range of Synthetic Aperture Radar (SAR), Interferometric SAR (InSAR) and Multi-Temporal InSAR processing techniques.
@ -240,7 +240,7 @@ Long list of geospatial analysis tools. Geospatial analysis, or just spatial ana
* [Fusion](http://forsys.cfr.washington.edu/fusion/fusionlatest.html) - CLI/GUI Lidar software. * [Fusion](http://forsys.cfr.washington.edu/fusion/fusionlatest.html) - CLI/GUI Lidar software.
* [Global Mapper Lidar Module](https://www.bluemarblegeo.com/products/global-mapper-lidar.php) - Lidar module for Global Mapper. * [Global Mapper Lidar Module](https://www.bluemarblegeo.com/products/global-mapper-lidar.php) - Lidar module for Global Mapper.
* [greyhound](https://github.com/hobu/greyhound) - A point cloud streaming framework for dynamic web services and native applications. * [greyhound](https://github.com/hobu/greyhound) - A point cloud streaming framework for dynamic web services and native applications.
* [Laspy](http://laspy.readthedocs.io/en/latest/) - Laspy is a library for reading, modifying, and creating .LAS LIDAR files. * [Laspy](http://laspy.readthedocs.io/en/latest/) - Laspy is a python library for reading, modifying, and creating .LAS LIDAR files.
* [LAStools](http://www.cs.unc.edu/~isenburg/lastools/) - A collection of highly-efficient, scriptable tools with multi-core batching that process LAS, compressed LAZ, Terrasolid BIN, .shp, and ASCII. * [LAStools](http://www.cs.unc.edu/~isenburg/lastools/) - A collection of highly-efficient, scriptable tools with multi-core batching that process LAS, compressed LAZ, Terrasolid BIN, .shp, and ASCII.
* [LASzip](https://laszip.org/) - Quickly turns bulky LAS files into compact LAZ files without information loss. * [LASzip](https://laszip.org/) - Quickly turns bulky LAS files into compact LAZ files without information loss.
* [libLAS](https://liblas.org/) - libLAS is a C/C++ library for reading and writing the very common LAS LiDAR format. * [libLAS](https://liblas.org/) - libLAS is a C/C++ library for reading and writing the very common LAS LiDAR format.
@ -252,7 +252,7 @@ Long list of geospatial analysis tools. Geospatial analysis, or just spatial ana
* [plas.io](https://plas.io/) - WebGL point cloud rendering. * [plas.io](https://plas.io/) - WebGL point cloud rendering.
* [potree](https://github.com/potree/potree/) - Potree is a free open-source WebGL based point cloud renderer for large point clouds. PotreeConverter provides all files to view your point cloud with only a basic webserver running. * [potree](https://github.com/potree/potree/) - Potree is a free open-source WebGL based point cloud renderer for large point clouds. PotreeConverter provides all files to view your point cloud with only a basic webserver running.
* [pyGEDI](https://github.com/EduinHSERNA/pyGEDI) - pyGEDI provides a high performance, lower cognitive load, and cleaner and more transparent code for data extraction, analysis, processing, and visualization of GEDI's products. * [pyGEDI](https://github.com/EduinHSERNA/pyGEDI) - pyGEDI provides a high performance, lower cognitive load, and cleaner and more transparent code for data extraction, analysis, processing, and visualization of GEDI's products.
* [PyLAS](https://pypi..org/pypi/PyLAS) - A library for reading and writing LAS files. * [PyLAS](https://pypi.python.org/pypi/PyLAS) - A python library for reading and writing LAS files.
* [Quick Terrain Modeler](http://appliedimagery.com/) - Proprietary LiDAR exploitation software by Applied Imagery. * [Quick Terrain Modeler](http://appliedimagery.com/) - Proprietary LiDAR exploitation software by Applied Imagery.
* [rGEDI](https://github.com/carlos-alberto-silva/rGEDI) - An R Package for NASA's Global Ecosystem Dynamics Investigation (GEDI) Data Visualization and Processing. * [rGEDI](https://github.com/carlos-alberto-silva/rGEDI) - An R Package for NASA's Global Ecosystem Dynamics Investigation (GEDI) Data Visualization and Processing.
* [The Point Cloud Library - PCL](https://pointclouds.org/) - Standalone, large scale, open project for 2D/3D image and point cloud processing. * [The Point Cloud Library - PCL](https://pointclouds.org/) - Standalone, large scale, open project for 2D/3D image and point cloud processing.
@ -267,7 +267,7 @@ Long list of geospatial analysis tools. Geospatial analysis, or just spatial ana
* [ArcGIS Earth](http://www.esri.com/software/arcgis-earth) - Display data, sketch placemarks, measure distances and areas, and add annotations at any part of the world * [ArcGIS Earth](http://www.esri.com/software/arcgis-earth) - Display data, sketch placemarks, measure distances and areas, and add annotations at any part of the world
* [CityEngine](http://www.esri.com/software/cityengine/) - Transform 2D GIS Data into Smart 3D City Models * [CityEngine](http://www.esri.com/software/cityengine/) - Transform 2D GIS Data into Smart 3D City Models
* [Google Earth](http://earth.google.com/) - Bringing a earth view for global mapping * [Google Earth](http://earth.google.com/) - Bringing a earth view for global mapping
* [Open3D](http://www.open3d.org/) - Open-source library that supports rapid development of software that deals with 3D data. The Open3D frontend exposes a set of carefully selected data structures and algorithms in both C++ and . * [Open3D](http://www.open3d.org/) - Open-source library that supports rapid development of software that deals with 3D data. The Open3D frontend exposes a set of carefully selected data structures and algorithms in both C++ and Python.
* [Skyline](http://www.skylineglobe.com/SkylineGlobe/corporate/Default.aspx?) - A glimpse into Skyline's cutting-edge 3D geospatial visualization products, and their potential to transform the way your organization makes decisions, shares information and manages its assets * [Skyline](http://www.skylineglobe.com/SkylineGlobe/corporate/Default.aspx?) - A glimpse into Skyline's cutting-edge 3D geospatial visualization products, and their potential to transform the way your organization makes decisions, shares information and manages its assets
* [World Wind](http://worldwind.arc.nasa.gov/java/) - Providing features for displaying with geographic data * [World Wind](http://worldwind.arc.nasa.gov/java/) - Providing features for displaying with geographic data
@ -295,7 +295,7 @@ with GNSS (global navigation satellite system).
* [ATCOR](http://www.atcor.de/) - ERDAS Imagine module. * [ATCOR](http://www.atcor.de/) - ERDAS Imagine module.
* [gee-atmcorr-S2](https://github.com/samsammurphy/gee-atmcorr-S2) - Atmospheric correction of Sentinel 2 imagery in Google Earth Engine using Py6S. * [gee-atmcorr-S2](https://github.com/samsammurphy/gee-atmcorr-S2) - Atmospheric correction of Sentinel 2 imagery in Google Earth Engine using Py6S.
* [i.atcorr](https://grass.osgeo.org/grass70/manuals/i.atcorr.html) - GRASS GIS module that performs atmospheric correction using the 6S algorithm. * [i.atcorr](https://grass.osgeo.org/grass70/manuals/i.atcorr.html) - GRASS GIS module that performs atmospheric correction using the 6S algorithm.
* [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 programming language. * [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.
* [radiometric_normalization](https://github.com/planetlabs/radiometric_normalization) - Implementation of radiometric normalization workflows. * [radiometric_normalization](https://github.com/planetlabs/radiometric_normalization) - Implementation of radiometric normalization workflows.
* [sen2cor](http://step.esa.int/main/third-party-plugins-2/sen2cor/) - is a processor for Sentinel-2 Level 2A product generation and formatting; it performs the atmospheric-, terrain and cirrus correction of Top-Of- Atmosphere Level 1C input data. * [sen2cor](http://step.esa.int/main/third-party-plugins-2/sen2cor/) - is a processor for Sentinel-2 Level 2A product generation and formatting; it performs the atmospheric-, terrain and cirrus correction of Top-Of- Atmosphere Level 1C input data.
* [SIAC](https://github.com/MarcYin/SIAC) - A sensor invariant Atmospheric Correction (SIAC). * [SIAC](https://github.com/MarcYin/SIAC) - A sensor invariant Atmospheric Correction (SIAC).
@ -305,7 +305,7 @@ with GNSS (global navigation satellite system).
## Agent-based Modeling ## Agent-based Modeling
* [DMASON](https://github.com/isislab-unisa/dmason) - DMASON is a parallel version of the MASON library for writing and running simulations of Agent based simulation models. * [DMASON](https://github.com/isislab-unisa/dmason) - DMASON is a parallel version of the MASON library for writing and running simulations of Agent based simulation models.
* [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. * [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.
* [Mesa](https://github.com/projectmesa/mesa) - Mesa is an Apache2 licensed agent-based modeling (or ABM) framework in . * [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. * [NetLogo](https://ccl.northwestern.edu/netlogo/) - NetLogo is a multi-agent programmable modeling environment.
* [nlrx](https://github.com/ropensci/nlrx) - Provides tools to setup and execute NetLogo simulations from R. * [nlrx](https://github.com/ropensci/nlrx) - Provides tools to setup and execute NetLogo simulations from R.
* [Repast](https://repast.github.io/) - The Repast Suite is a family of advanced, free, and open source agent-based modeling and simulation platforms. * [Repast](https://repast.github.io/) - The Repast Suite is a family of advanced, free, and open source agent-based modeling and simulation platforms.
@ -911,7 +911,6 @@ with GNSS (global navigation satellite system).
* [pyGEOS](https://github.com/pygeos/pygeos) - Exposes geospatial operations from GEOS into Python. * [pyGEOS](https://github.com/pygeos/pygeos) - Exposes geospatial operations from GEOS into Python.
* [pyGMT](https://github.com/GenericMappingTools/pygmt) - Pythonic interface for the Generic Mapping Tools (GMT). * [pyGMT](https://github.com/GenericMappingTools/pygmt) - Pythonic interface for the Generic Mapping Tools (GMT).
* [pyimpute](https://github.com/perrygeo/pyimpute) - Python module for geospatial prediction using scikit-learn and rasterio. * [pyimpute](https://github.com/perrygeo/pyimpute) - Python module for geospatial prediction using scikit-learn and rasterio.
* [pyinterpolate](https://github.com/DataverseLabs/pyinterpolate) - Ordinary Kriging, Simple Kriging, Indicator Kriging, Poisson Kriging, Area-to-Point Kriging, Semivariogram Deconvolution, and variogram modeling in Python
* [pyKriging](https://github.com/capaulson/pyKriging) - N-dimensional kriging. * [pyKriging](https://github.com/capaulson/pyKriging) - N-dimensional kriging.
* [pyle38](https://github.com/iwpnd/pyle38) - Asynchronous Client for the worlds fastest in-memory geo-database Tile38 * [pyle38](https://github.com/iwpnd/pyle38) - Asynchronous Client for the worlds fastest in-memory geo-database Tile38
* [pymap3d](https://github.com/scivision/pymap3d) - Python 3D coordinate conversions for geospace ecef enu eci. * [pymap3d](https://github.com/scivision/pymap3d) - Python 3D coordinate conversions for geospace ecef enu eci.