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The Open Source Geospatial Foundation
Showing 5 of 20 projects. Click any project card for scope, mentors, and proposal studio.
Mentors: Student: sandyre
<p>The objective is to extend GDAL/OGR supported formats with DWG, allowing to read geometries from it. It is going to be reached by writing a new DWG driver, without any third-party dependencies.</p>
Mentors: Student: masterflorin
<p>Firstly, the aim of the project is to develop an Android App for the istSOS project. In order to achieve that objective, a main goal will be to develop an easy-to-use library in Java based on the istSOS, suitable for Android development. This way, developers can create and customize their own apps depending on the needs of their projects. As it is essential for users to access in real time current and historic sensor data the application will show sensors location, metadata, observed properties, data visualization trough plots and infographics, alerts and notifications, features provided by the application's main core functionality.</p>
Mentors: Student: Chingchai Humhong
<p>The pyModis project has been developed and used to work with MODIS data, it provides wxPython user interfaces which are able to download and process data using pyModis scripts. pyModis depends on a desktop graphical user interface which does not make it directly usable from a web application. The idea of this GSoC proposal is to bring pyModis to the web by publishing Python Web Processing Services using the ZOO-Project technology accessible through a minimal web application. An idea which can be implemented for the future, based on this initial work, include the creation of new services by combining pyModis, GRASS, OTB and SAGA-GIS services.</p>
Mentors: Student: martidi
<p>My project proposal concerns the improvement and the implementation of new functionalities for the OSSIM plug-in that I developed in the last two years in the framework of the 2014 and 2015 GSoC programs.</p> <p>I was thinking, first of all, to finalize and consolidate all the work done so far, specifically, to:</p> <ul> <li>complete the workflow for generating DSMs from SAR images</li> <li>improve the automatization of the pyramidal approach implemented for DSM generation </li> </ul> <p>The main aim would then be to implement a processing tool able to merge various DSMs resulting from different pairs or triplets, acquired with different sensors or in different period in times. This is particular useful for SAR images for which usually you've got a stack of images over the same area.</p> <p>In particular, the idea is to create a new function able to generate a mask for exploiting only the best areas in the DSMs merging phase. Specifically, in SAR images lay-over and fore-shortening areas would be automatically detected in the input images; a mask can hence be generated and applied to the corresponding DSM in order to cross out those pixels not "good" and replace them with pixels more reliable coming from other DSMs.</p>
Mentors: Student: Illedran
<p>This project aims to add functionality in order to solve the maximum flow problem in pgRouting.</p> <p>A flow network is a directed graph where each edge has a capacity and a flow. The flow through an edge must not exceed the capacity of the edge. Additionally, the incoming and outgoing flow of a node must be equal except the for source which only has outgoing flow, and the destination(sink) which only has incoming flow.</p> <p>Maximum flow algorithms route one possible maximum flow through the graph and have several other applications in network routing, delivery & transportation, circulation and more.</p>