Development

CartoSet, a new FOSS to create highly visual geo portals

Session Type: 
Tech Session
Presenter(s): 
Mr Javier de la Torre, Vizzuality

CartoSet is a new Open Source framework to develop great geospatial websites. Based on the experience by Vizzuality developing highly visual geospatial websites, like protectedplanet.net, CartoSet is a Ruby on Rails framework based on CartoDB. Despite the number of existing geoportal websites none of them allow the creation of highly customized interfaces. On the other hand libraries like geoRuby provide great foundation but still it takes too much time to develop nice websites. CartoSet is a FOSS framework in the middle, allowing great customization but providing an easy building block for agile developers.

Speaker Bio: 

Javier is the lead developer and co-founder of Vizzuality. Over the past 8 years has been working on the field of biodiversity Informatics and geospatial technologies for biodiversity and conservation. Right now he works on CartoDB geospatial databases on the cloud to enable great visualizations.

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Opticks: Overview Of An Open Source ELT

Session Type: 
Tech Session
Presenter(s): 
Kip Streithorst, Ball Aerospace & Technologies Corp.
Mr Trevor Clarke, Ball Aerospace & Technologies Corp.

Opticks is an expandable open-source remote sensing and imagery analysis platform.  Opticks is a desktop application that can used to perform analysis of imagery, video, spectral, SAR, thermal and medical imagery. This presentation will provide a visual overview of Opticks capabilities. This presentation will also highlight some of the more popular extensions for Opticks; including hyper and multi-spectral analysis, Python scripting and IDL scripting.  This presentation will also include a quick overview of the C++ API, highlighting the possibilities for capabilities that can be built on top of Opticks.

Speaker Bio: 

Kip Streithorst is a developer and committer on the Opticks (http://opticks.org) project.

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Introducing GXP: Webmapping made easy

Session Type: 
Tech Session
Presenter(s): 
Bart van den Eijnden, OpenGeo

GXP is a brand new and exciting open source Javascript library. It provides a plugin-based architecture leveraging OpenLayers, Ext JS, and GeoExt. It allows you to build powerful web mapping applications just by providing a JSON configuration.

The applications of the OpenGeo Suite, such as GeoExplorer, are being built on top of GXP, showcasing the capabilities of the library.

GXP provides functionality for seamlessly editing data through a Web Feature Service (WFS), adding layers to a map, creating styles, building filters and many more.

There is also a good integration with commercial map providers such as Bing Maps, Google Maps, MapQuest and OpenStreetMap. GXP applications can use the Google Geocoder for search and integrate Google Street View and Google Earth.

GXP is being developed on the github social coding platform, so there are plenty of ways for people to contribute to GXP. For more information, please refer to: https://github.com/opengeo/gxp

Speaker Bio: 

Bart van den Eijnden has an MSc in Physical Geography from Utrecht University, The Netherlands. He has over 10 years experience in GIS application development, with a strong focus on the web. The last 8 years Bart has focussed on open source and open standards. He is a committer on the OpenLayers and GeoExt projects, and a member of the GeoExt Project Steering Committee (PSC).

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Processing chains with OGC Web Processing Services to process satellite data interactively in a geoportal

Session Type: 
Tech Session
Presenter(s): 
Jonas Eberle, Friedrich-Schiller-University Jena
Dr Christian Strobl

In the past standards of the Open Geospatial Consortium in web information systems were commonly integrated for visualizing vector and raster. With the implementation specification of the Web Processing Service (WPS), a standard to process geodata in the web is available. The new possibilities in web-based geographic information systems allow an interoperable processing of different data based on service-orientated architectures.

This presentation describes the implementation of a Web Processing Service to derivate products from satellite data. Software including a WPS was evaluated with focus of handling large data files. Several processes were developed to create products for MODIS satellite data, available on the web. On top of these processes, software for implementing and executing processing chains as a web processing service was evaluated and several chains were implemented.

An automatically running service is processing near-real time data downloaded direct after acquisition. An interface to get and process archived data was integrated in the developed web information system. The user of this system can search interactively for archived MODIS data and process it with the developed web processing services and processing chains.

The software evaluation showed that there is additional work to do to improve the WPS standard. Specific profiles for working with large raster data are needed to define standardised rules. For processing chains no standardised data format describing these chains exist, but it is also possible to create processing chains with several software solutions.

Speaker Bio: 

Jonas Eberle, Master in Geoinformatics with focus of remote sensing and spatial data infrastructures and Bachelor in Applied Computer Sciences with focus of environment informatics. Working several years as web developer.

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Enhancing the Use of Python in GIS and Remote Sensing

Session Type: 
Tech Session
Presenter(s): 
Nathan Jennings, American River College/Opticks

This abstract outlines the development of a geographic information systems (GIS) Programming and Remote Sensing course at American River College using Python and Opticks (http://opticks.org) open source image processing software for use with remotely sensed imagery. The author has developed a fully on-line GIS course and text for developing and using Python for ArcGIS in addition to developing and using the Opticks Python scripting extension for a remote sensing course. The ability to use Python in both open source and commercial GIS and remote sensing software is becoming common place and a skill this is widely sought after. This paper will describe some of the knowledge, abilities, and skill sets that employers are seeking and how the author has developed the courses and texts using Python and Opticks in GIS and remote sensing to help students build these skills.

See www.jenningsplanet.com and http://opticks.org for more information.

Speaker Bio: 
Adjunct GIS Professor, American River College, Sacramento, CA
Sr. GIS Analyst, City of Sacramento, Sacramento, CA
Principal, JenningsPlanet, GIS Consulting
Opticks, Contributor-Collaborator-Mentor 

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