Open Source Linux GIS Software - Page 3

SimpleWFS is a 100% Java servlet implementation of the draft OGC standard Web Feature Service (WFS) Simple. This is a Web service interface whose goal is to specify a common, minimal feature set for geospatial-temporal data access.

A planet-wide terrain generator, using simulated tectonic movements rather than fractals. Intended to produce richer information than just a heightmap - geology layers, climate, biomes, and resources.

T3D2 - Terrain Track Thermal Data Displayer. Takes 3D GPS tracks and displays the flights over 3D Digital Elevation Data along with pixel data mapped over the terrain. Analyzes the flight for thermals. Checks if a pilot flew optimal.

This software is a time-aware geostatistical tool. Including time variability adds further issues to the already complicated field of geostatistical interpolation. On the other hand, most of the distributions of variables used in Earth and environmental sciences show patterns of change over time, not only in space. This tool is a free, open-source software, based on a generalization of the Inverse Distance Weighted algorithm. It outputs three-dimensional, layered discrete models from which time series and equal-time GIS Grid layers can be extracted.

Tunelator processes tunnel profile data for surveying work. It provides a powerfull grid editor, 3D preview, export to Prowin, Ispol, MDT and DXF (2D and 3D views with convenient layering).

Viperfish is intended for the sailor looking to improve his weather forecasting. Viperfish provides the ability to visualise and modify GRIB (weather prediction) files, it can plot routes and provides routing based on coming weather and boat performance.

Ytk is a Tcl/Tk program which adds menus, buttons and features to the basic command line driven Yorick program and language. It also enables usage of all Tcl/Tk widgets and functions including buttons, sliders, checkboxes, and other typical TK widgets to

The purpose of the software is to calculate the undulation between the WGS84 ellipsoid (GPS height) and the EGM96 geoid (mean sea level) in MATLAB, based on the C code in the "egm96-f477.c" project

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.

A Field Log Book for Geologists

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

MicMac is a software for solving image matching problems, specially those arising in geographic context. It is highly customizable at the algorithmic level and for the data input (image format and geo-localization).

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.

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.

PHI is a project for processing geographic images

shp2georss: Convert esri shape file to GeoRSS, which can be viewed in Virtual Earth,Yahoo map,Google Map,Sponsored by National Science Foundation of United States,Idaho State University,developed by Joe Hu at MapWindow software lab,Idaho State Univ

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

set of scripts for making a cadastre system and maintenance

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.