OSGeo-Live Google Summer of Code ideas 2015

About

OSGeo-Live is a self-contained bootable DVD, USB thumb drive or Virtual Machine based on Lubuntu, that allows you to try a wide variety of open source geospatial software without installing anything. It is composed entirely of free software, allowing it to be freely distributed, duplicated and passed around. It provides pre-configured applications for a range of geospatial use cases, including storage, publishing, viewing, analysis and manipulation of data. It also contains sample datasets and documentation.

This GSoC 2015 Idea will focus on the development of a cross-projects python library with the aim of bridging together the several software libraries installed on the live trough the use of the Ipython notebook in a series of "topic-oriented" notebooks. This work will not include only python libraries, the ipython notebook support different type of kernel including R and Bash (enabling the use in a notebook of any command line tools installed on the live) With a strong focus on the "educational" side of the OSGeo-Live this idea will improve substantially the users experience in having access to many tools under the OSGeo umbrella learn how to bring them together to build new information from the datset already available on the OSGeo-live disc as well as learn how to process geospatial data using other scientific tools for data exploration.

The "topic-oriented" notebooks can include :

I/O raster and vector data (import export between several formats, subsetting, sql query)
reprojection
access to wed resources using OGC standard
raster algebra (single array operation, filtering, band merge, band-ratio, time-series)
satellite derived product (working with landsat e/o modis dataset)
access to netcdf
intro to geostatistic
simple web-gis products (publish result of processing in projects based on js library like openlayers, leaflet and similar)
more ...

Main apps to be integrated (GDAL, GRASS, OSSIM, R, OTB, Numpy, Scipy, Pandas, R, owslib, netcdf4-python, pycsw, openlayer/leaflet/cesium, qgis-browser, gmt, postgis) in addition to the python specific projects (e.g. fiona, shapely, geopandas, scikit-image, pysal, cartopy, iris, and more)