Open Source C GIS Software

To use precompiled wheels: 1) go to releases (Files) and download tarball needed; 2) install it with command: python3 -m pip install /path/to/wheel.whl Or simply use URL in pip: python3 -m pip install https://sourceforge.net/projects/gdal-wheels-for-linux/files/GDAL-3.1.4-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.whl/download URL may be found under "View details" button (i) To use GDAL in C/C++ project you need to link gdal lib AND all libs located at dir GDAL.libs (usually this folder resides inside python site-packages) To compile your own wheels see information given at forefather project: https://github.com/youngpm/gdalmanylinux Usually this is done via command `make wheels` GDAL wheels for Windows are provided by Christoph Gohlke at https://www.lfd.uci.edu/~gohlke/pythonlibs/#gdal Built with PROJ (proj.db is included), GEOS, EXPAT. See Dockerfile.wheels for additional components.

MicroCity is a framework for spatial analysis and simulation. It is lightweight, fast, portable, extendable and user friendly. Users can easily operate large GIS and Grid data and perform Spatial, Fractal, Network analysis and simulation.

topography oriented GIS for cadastre maintenance fully configurable and totally autonomous (can be transfered to USB key) .

The hsdar package contains classes and functions to manage, analyse and simulate hyperspectral data. These might be either spectrometer measurements or hyperspectral images through the interface of rgdal.

MeteosatTool is a program for visualization and processing of data from Meteosat Second Generation (MSG) geostationary meteorological satellite, and output data of SAFNWC, the Satellite Application Facilities for NoWCasting and very short range forecasting software package

A collection of Fortran interfaces to the most common Open Source GIS libraries, plus some more Fortran-specific tools.

Global Land Use and technological Evolution Simulator.

PIHM is a multiprocess, multi-scale hydrologic model where the major hydrological processes are fully coupled using the semi-discrete finite volume method.

PIHMgis is a “tightly-coupled” GIS interface to Penn State Integrated Hydrologic Model (PIHM). It is open source, platform independent and extensible. The “tightly-coupled” integrated GIS interface to PIHM has been created in the Open Source QGIS

This is a library that allows applications that does not use Qt to use the QNetMap library (https://sourceforge.net/projects/qnetmap/). Library developed in the T8 LLC (http://t8.ru). Written and supported by Sergey Shumeyko.

Project created to develop customizations in OpenGeo, to contribute to the standardization of formats Brazilians. Tool-Kit aplication for system Geo Integrations, using java frameworks.

C translation of EGM96 (earth height model) implementation (namely, f477.f) available at http://earth-info.nga.mil/GandG/wgs84/gravitymod/egm96/egm96.html

Project is archived on GitHub. Please do not trust any data got from SourceForge.

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 provide functions for reading and writing data to such files. There is also a Python API that provides a procedural as well as an object-oriented interface to these functions. A Python GUI for interacting with such datasets is also part of the project. While there are other open-source GIS, and image-processing packages available, this one is designed to be comprehensive, work on 3 major platforms, user-extensible, fast, and able to handle huge datasets. Click the Blog tab for more info.

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.

This repository is not in active use; the project lives at: https://r-forge.r-project.org/projects/spdep/

This is going to be a set of tools which is intended to be used with huge OSM files like the planet files in XML format. The parser reads directly from packed *.gz files and it is not needed to unpack the OSM/XML data files to the local disk. Now in 0.3.0: osm_tags: tag analyzer (like tag watch) osm_split: split osm file in single files for nodes, ways and relations and collect some meta information (will be used as input for other tools). osm_cut: create rectangular extracts tr_view: view tool for trafalgar files, including fast osmtoolz import filter, GPX an KML track import (see screenshots) There is a small script included which helps to transform from *.bz2 to *.gz using a named pipe (seems not to work for cygwin)

Viewpix allows the user to load all eleven bands of a Landsat 8 Level 1 data set into memory concurrently. You can scroll and view each band at full resolution. Change bands instantly with a single key press. Band 8 is 15 meters resolution, all other bands are 30m resolution. A 30m resolution gray scale scene is generated by Viewpix and is presented as band 12. Each Landsat 8 scene is roughly 190 X 180 kilometers. Viewpix was originally written as a simple platform to test GPU software on low end computer systems. This is the "lite" version of Viewpix as it has no cuda filters installed. Viewpix is written in C. It is tested on Ubuntu and Centos. It should work with most current Linux distributions. Viewpix runs efficiently on computers with modest CPU's such as low power mini-ITX boards. It is known to work nicely on Intel NUC, AMD A6 SOC , and NVIDIA TX2. A multiple core cpu, 8 GB ram, and a large capacity hard drive are suggested.