From GIS to Remote Sensing
The OSGeo's Global Conference for Open Source Geospatial Software FOSS4G 2013 will take place from 17th to 21st September, at Nottingham, UK. It is an annual gathering of users and developers that provides an international review of advances in open source software, and fosters the synergy of geospatial projects.
I think it is useful to highlight the connections between the open source programs that allowed for the development of the Semi-Automatic Classification Plugin for QGIS.
I reported these projects in the diagram below. This diagram does not include open source software such as Linux and other operating system utilities, but they are essential for the plugin development.
As you can see, the Semi-Automatic Classification Plugin relies, directly or indirectly, on several other projects; the following are the links to the official websites:
- QGIS, (of course) a user friendly GIS;
- GDAL/OGR, a translator library for raster geospatial data formats;
- GRASS GIS, a GIS software suite used for geospatial data management and analysis;
- Matplotlib, a python 2D plotting library;
- Numpy, a package for scientific computing with Python;
- Orfeo Toolbox, a library of image processing algorithms;
- Python, a programming language;
- QT, a cross-platform application and UI framework for developers;
- SAGA GIS, a GIS for automated geoscientific analyses.
I would like to thank all the developers involved in these projects for their valuable work, and the opportunities that open source software can provide for GIS and remote sensing studies, such as land cover monitoring.