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SAGA - System for Automated Geoscientific Analyses - is a Geographic Information System (GIS) software with immense capabilities for geodata processing and analysis. SAGA is programmed in the object oriented C++ language and supports the implementation of new functions with a very effective Application Programming Interface (API). Functions are organised as modules in framework independent Module Libraries and can be accessed via SAGA’s Graphical User Interface (GUI) or various scripting...

LaTeX package for geophysical publications

Spectral Python (SPy) is a python package for reading, viewing, manipulating, and classifying hyperspectral image (HSI) data. SPy includes functions for clustering, dimensionality reduction, supervised classification, and more.

JavaSeis.org: Java based software for processing and storing petroleum industry seismic data.

This software is for processing binary Doppler radar data in, but not limited to, DORADE sweepfile format. The software can modify metadata and moment data using quality control routines and extract moment data as comma-delimited ASCII files.

UPDATE March 14, 2018 Repository and tracking officially moved to github. https://github.com/opticks-org/opticks Sourceforge mailing lists are still in use. Opticks is an open source remote sensing application and development framework.

Along with calculating basic statistics and quality parameters such as mean and variance, the soft-ware is capable of importing and visualizing different standard time series formats, determining and removing jumps and outliers, and makes numerical and publication quality graphical outputs. Bivariate statistical analysis (including correlation coefficient and linear regression) and time series analysis (including auto and cross-spectral analysis, wavelet power spectrum, spectrogram and...

The Enterprise Science Processing Architecture is a modular science processing system that encourages code reuse. It is based on the Chain of Responsibility and strives to remain simple and sparse to support the widest possible community of users.

MCC-LIDAR is a C++ application for processing LiDAR data in forested environments. It classifies data points as ground or non-ground using the Multiscale Curvature Classification algorithm.

RAT is a software for advanced image processing of SAR (Synthetic Aperture Radar) remote sensing data.

A GPR processer and viewer written in Python!

The aim of the project is the creation of an multiuser, webenabled, datahandling, processing and visualisation tool for engineering data from the real word - with Datacollection, Charting, Mapping, Alerting, Messaging and Reporting capabilities .....

The Simple, Scalable, Script-based Science Processor for Measurements (S4PM) is a system for highly automated processing of science data, scalable up to large processing systems and scalable down to small, special-purpose processing strings.

Mseg is a generic region-based multi-scale image segmentation algorithm designed with some optimizations for remote sensing imagery. The algorithm can be used as a low level processing part of an object-oriented image analysis system.

XML Parser, Data Processing API and Specific Implementations for SensorML.

GeoSciPy is a set of C and Python functions that provide an API for all aspects of Geoscience and Remote Sensing Applications. Functions include reading/writing of many data formats, images, vectors, ..., and processing of images, vectors, ... including map projections, ... The library is written C, using HDF5 as the file format for storage of all remotely-sensed data and ancillary data, as well as processed data. The C functions assume a particular format for the HDF5 file contents, and...