Open Source Fortran GIS Software

Two dimensional (2D) fine mesh finite element (FE) grid editing system. Includes constrained Delaunay triangulation, and automated grid resolution changes based on local attributes. Win32 and Motif GUIs. Mature application, now going open source.

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

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.

OzGIS is an extensive mapping system for the analysis and display of geographically referenced data. Map data are downloaded from Census bureaux and map agencies or extracted from your own databases. The system can be used to to support management decisions associated with, for example, government planning, marketing, sales, site and personnel location, advertising and research. Systems for Windows, Mac and Ubuntu, source code, sample data files and manuals are included. DOWNLOAD to your Downloads directory and unzip to Downloads/OzGIS ; see the Files tab for installation instructions. See the installation manual or "OzGIS Installation" Youtube video for help with getting started. I am unable to show OzGIS to you, so suggest that you search for "OzGIS lloyd" on Youtube for demonstration videos or "OzGIS" on Pinterest for example maps. You can mail me at cleverco@users.sourceforge.net or use the Discussion tab or post a ticket for problems.

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.