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@ -213,8 +213,7 @@ Long list of geospatial analysis tools. Geospatial analysis, or just spatial ana
## Radar
* [GAMMA](http://www.gamma-rs.ch/no_cache/software.html) - Allows processing of SAR, interferometric SAR (InSAR) and differential interferometric SAR (DInSAR).
* [GIAnT](http://earthdef.caltech.edu/projects/giant/wiki) - Python libraries and scripts that implement various published time-series InSAR algorithms in a common framework.
* [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.
* [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 Python toolbox for processing 2D satellite earth observation data.
@ -223,7 +222,7 @@ Long list of geospatial analysis tools. Geospatial analysis, or just spatial ana
* [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 Python.
* [SARbian](https://eo-college.org/sarbian/) - Free and open SAR operating system (based on Debian Linux).
* [Sarmap](http://www.sarmap.ch/page.php?page=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.
* [Sentinel Toolboxes](https://sentinel.esa.int/web/sentinel/toolboxes) - Free open source toolboxes for the scientific exploitation of the Sentinel missions.
@ -240,7 +239,7 @@ Long list of geospatial analysis tools. Geospatial analysis, or just spatial ana
* [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 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.
* [LASzip](https://www.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.
* [lidar](https://github.com/jblindsay/lidar) - A Crystal language library for reading and writing LiDAR data in LAS format.
* [lidario](https://github.com/jblindsay/lidario) - A small Go library for reading and writing LiDAR (LAS) files.
@ -280,7 +279,7 @@ Long list of geospatial analysis tools. Geospatial analysis, or just spatial ana
* [6S](http://6s.ltdri.org/) - Second Simulation of the Satellite Signal in the Solar Spectrum (6S) open source algorithm.
* [6S_emulator](https://github.com/samsammurphy/6S_emulator) - The 6S emulator is an open-source atmospheric correction tool. It is based on the 6S radiative transfer model but it runs 100x faster with minimal additional error (i.e. < 0.5 %).
* [ACOLITE_MR](https://github.com/acolite/acolite_mr) - Atmospheric correction for aquatic applications of metre-scale satellites.
* [ARCSI](https://www.arcsi.remotesensing.info/) - The Atmospheric and Radiometric Correction of Satellite Imagery (ARCSI) software provides a command line tool for the generation of Analysis Ready Data (ARD) optical data including atmospheric correction, cloud masking, topographic correction etc.
* [ARCSI](https://github.com/remotesensinginfo/arcsi) - The Atmospheric and Radiometric Correction of Satellite Imagery (ARCSI) software provides a command line tool for the generation of Analysis Ready Data (ARD) optical data including atmospheric correction, cloud masking, topographic correction etc.
* [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.
* [i.atcorr](https://grass.osgeo.org/grass70/manuals/i.atcorr.html) - GRASS GIS module that performs atmospheric correction using the 6S algorithm.
@ -302,7 +301,7 @@ Long list of geospatial analysis tools. Geospatial analysis, or just spatial ana
## Landscape Metrics
* [Fragstats](https://www.umass.edu/landeco/research/fragstats/fragstats.html) - Spatial Pattern Analysis Program for Categorical Maps.
* [Fragstats](https://fragstats.org/) - Spatial Pattern Analysis Program for Categorical Maps.
* [landscapemetrics](https://github.com/r-spatialecology/landscapemetrics) - landscapemetrics is an R package for calculating landscape metrics for categorical landscape patterns in a tidy workflow.
* [LS_METRICS](https://github.com/LEEClab/LS_METRICS) - A tool for calculating landscape connectivity and other ecologically scaled landscape metrics
* [Makurhini](https://github.com/connectscape/Makurhini) - R package for calculating fragmentation and landscape connectivity indices used in conservation planning.
@ -406,7 +405,6 @@ Long list of geospatial analysis tools. Geospatial analysis, or just spatial ana
* [libtorch-yolov3](https://github.com/walktree/libtorch-yolov3) - A Libtorch implementation of the YOLO v3 object detection algorithm.
* [LightNet](https://github.com/ansleliu/LightNet) - LightNet: Light-weight Networks for Semantic Image Segmentation (Cityscapes and Mapillary Vistas Dataset)
* [mmsegmentation](https://github.com/open-mmlab/mmsegmentation) - MMSegmentation is an open source semantic segmentation toolbox based on PyTorch. It is a part of the OpenMMLab project.
* [neat-EO](https://neat-EO.pink) - Efficient AI4EO OpenSource framework
* [Pixel Decoder](https://github.com/Geoyi/pixel-decoder) - A machine learning python package to run deep learning with satellite imagery.
* [PixelLib](https://github.com/ayoolaolafenwa/PixelLib) - Pixellib is a library for performing segmentation of images. It suports both Semantic Segmentation as Instance Segmentation.
* [platypus](https://github.com/maju116/platypus) - R package for object detection and image segmentation.
@ -476,7 +474,7 @@ Long list of geospatial analysis tools. Geospatial analysis, or just spatial ana
* [Pronto Raster](https://github.com/ahhz/raster) - C++ library for geographical raster data analysis.
* [RichDEM](https://github.com/r-barnes/richdem) - High-performance Terrain and Hydrology Analysis.
* [RoutingKit](https://github.com/RoutingKit/RoutingKit) - RoutingKit is a C++ library that provides advanced route planning functionality.
* [RSGISLib](https://bitbucket.org/petebunting/rsgislib/src/bf7933996822?at=default) - The Remote Sensing and GIS software library (RSGISLib) is a collection of tools for processing remote sensing and GIS datasets. The tools are accessed using Python bindings or an XML interface.
* [RSGISLib](http://rsgislib.org/) - The Remote Sensing and GIS software library (RSGISLib) is a collection of tools for processing remote sensing and GIS datasets. The tools are accessed using Python bindings or an XML interface.
* [S2 Geometry](https://github.com/google/s2geometry) - Computational geometry and spatial indexing on the sphere.
* [Selene](https://github.com/kmhofmann/selene) - A C++14 image representation, processing and I/O library.
* [Spatial](https://sourceforge.net/projects/spatial/) - Spatial is a generic header-only C++ library providing multi-dimensional in-memory containers, iterators and functionals.