Organisation terrestris GmbH & Co kg

Additional Presenters
Name	Simone Giannecchini
Organisation	GeoSolutions S.A.S.
Email	[e-mail]
Name	Andrea Aime
Organisation	GeoSolutions S.A.S.
Email	[e-mail]

ID Number

98

Name	Hugo Martins
Organisation	Lutra Consulting
Email	[e-mail]

Paper Title	Web Processing Services using OS OpenData
I can give a practical demo	yes

Paper Abstract (short)

Using OS OpenData, applying OGC standards & services and customising a number of open source GIS tools a WebGIS App was developed to provide a simple and intuitive online tool for generating hydrological catchments within the UK [1]. [1] http://webgis1.lutraconsulting.co.uk/catchment_finder/

Paper Abstract (long)

In April 2010, Ordnance Survey made a number of their national mapping products freely available under the OS OpenData initiative. Vector and raster datasets at varying scales were released under a very permissive license which allows users to freely create derivative works, even for commercial purposes. Lutra Consulting released a WebGIS application to demonstrate the value and potential of combining OS OpenData, OGC services & standards and open source GIS software. The WebGIS application, Catchment Finder, uses the OGC Web Processing Service (WPS) to provide a simple method for users to generate hydrological catchments (or watersheds) for any point in the UK. Catchment delineation is based on the OpenData Landform PANORAMA dataset, a 50 metre resolution digital terrain model (DTM). Catchment Finder was developed using the following FOSS components: OpenLayers and Ext JS for all user-facing functionality. MapServer and TileCache to serve background mapping and processed results. GRASS GIS for server-side catchment delineation process. PyWPS to provide a mechanism for interaction between the browser and GIS processing taking place on the server. GRASS GIS sits at the core of Catchment Finder. National slope and aspect raster datasets were pre-calculated as inputs for the watershed analysis module in order to optimise calculation times. A WPS process was developed in python (using PyWPS and GRASSÕ python bindings). The process chains together a number of GRASS commands in order to generate a vector layer representing the catchment outline which is then displayed in the web client via GML or optionally downloaded as a Shapefile. PyWPS (based on python) was chosen in preference to alternative WPS server implementations due to the typical flexibility and efficiency offered by python (a high-level programming language). Implementing specific GIS processing tasks as WebGIS applications simplifies the end-userÕs tasks and therefore opens up GIS processes to non-technical people. Storing datasets and carrying out processing centrally helps remove the burden of managing large/national datasets. Any updates to underlying datasets can be carried out centrally with minimal impact. As Catchment Finder implements the OGC WPS standard, it is also possible for the service to be utilised by desktop GIS applications. At present, due to the low resolution of the underlying DTM, it is only possible to generate watersheds for larger watercourses.

Topic type		Target Type
Case Studies: Relate your experiences. Collaboration: data collection, data sharing, open standards.		People new to open source geospatial End User

ID Number

50

Name	Claudia Vitolo
Organisation	Imperial College and Lutra Consulting
Email	[e-mail]

Paper Title	WebGIS applications for the new generation of hydrological models
I can give a practical demo	no

Paper Abstract (short)

Developed to address limitations of existing hydrological desktop applications, OASIS-WS utilises the latest advancement in web technologies & data availability to inform key decision makers of the impacts of land management on water resources & flood risk through a robust and consistent web-based approach.

Paper Abstract (long)

Knowledge about the potential impact of land management scenarios on water resources and flood risk is essential for decision-making amongst various governmental organisations and the private sector. Environmental models are typically applied to assess impacts of future water shortages & flood risk and to simulate and analyse various scenarios to inform key decision makers. The practice of environmental modelling is hindered by a number of technological characteristics of the current generation of models. These models are typically stand-alone applications developed for desktop computers with little standardisation of input & outputs and with limited possibility of automatic coupling with other models. This is problematic for various reasons. Not only does it limit computational power, but it also hinders the construction of complex workflows, ensemble modelling using different model structures, and a full uncertainty analysis of the model chain. Web technologies may overcome most of the above limitations. These technologies, combined with appropriate standards, provide tools to construct analysis workflows of relevant spatial and non-spatial data available over the internet/intranets. In addition, elastic and scalable cloud services facilitate computational efforts. OASIS-WS (Web Service) is a WebGIS based tool for processing hydrological information. OASIS-WS uses recent web technologies to capture both spatial and non-spatial hydrological data, analyse and process those data, and to present results as maps and plot outputs. The data discovery element of OASIS-WS is designed to explore data availability using Open Geospatial Consortium (OGC) standards. It is based on the recently developed data exchange standard, WaterML2, which enables the storing and exploring of various hydrological data sources through a web interface. Data collected through the discovery stage are stored in a PostgreSQL / PostGIS database. An algorithm was developed to filter and select appropriate data for analyses of specific scenarios. Based on a user scenario (e.g. flooding or low flow analysis), OASIS-WS can select an appropriate hydrological model from the multi-model Framework for Understanding Structural Errors (FUSE), developed by Clark et al. (2008). FUSE consists of an ensemble of over 1200 conceptual rainfall-runoff models. It is widely used for local to national scale hydrological analyses. FUSE has been implemented in R with some portions implemented in C++ to optimise processing times. It is an integrated part of the RHydro package (publicly available from R-Forge). The functionality of FUSE is exposed to OASIS-WS as a web service using the OGC Web Processing Service (WPS) standard. Users interact with OASIS-WS through its web interface which features a map panel and modelling dashboard. Visualisation and interaction are facilitated using the OGC Web Map Service (WMS) and Web Feature Service (WFS). The exploration of input data and model results is implemented using the Sensor and Observation Service (SOS). OASIS-WS is fast, reliable and able to provide the most appropriate simulation engine for a given user scenario thanks to the modular nature of the underlying hydrological models. As OASIS-WS is web-based, it is also scalable and easily accessible.

Topic type		Target Type
Case Studies: Relate your experiences. Development: new developments in products. Collaboration: data collection, data sharing, open standards.		People new to open source geospatial Manager End User Technical / Developer

Additional Presenters
Name	Peter Wells
Organisation	Lutra Consulting
Email	[e-mail]

ID Number

293

Name	Sanghee Shin
Organisation	Gaia3D, Inc.
Email	[e-mail]

Paper Title	Why Open Source GIS is a Viable Option for Korean National GIS Program?
I can give a practical demo	no

Paper Abstract (short)

This presentation will talk about the recent positive change of Korean government's policy toward open source GIS and its background rationale by reviewing past investment on Korean GIS from 1995 to 2011 and related research reports on open source GIS adoptions in Korea.

Paper Abstract (long)

January 2013, Ministry of Land and Transportation, Korea, announced new mid-long term Korean National GIS R&D plan composed of 16 major action items. Surprisingly Korean government included ÔDevelopment of Open Source GISÕ within 16 major action items. According to this tentative R&D plan Korean government will invest around US$ 15 Million in ÔDevelopment of Open Source GISÕ for next 7 years, this open source GIS development plan should go through feasibility study and get final budget approval though. This announcement was widely accepted as a positive sign of policy change toward open source GIS in Korean government, since Korean government has usually given much preferences to Korean local GIS technology against so-called foreign GIS technology(e.g. ESRI, Intergraph, ERDAS..) and open source GIS. This presentation will mainly talk about the rationale why Korean government changed its policy toward open source GIS by reviewing the results of past Korean NGIS(National GIS) R&D program. And a research report, ÔStrategies on Building the Platform for GeoSpatial Information Technology Development: Based on Open Source ThinkingÕ by KRIHS(Korean Research Institute of Human Settlements), will be introduced largely, since this report had great impact on policy change of Korean government toward open source GIS. 3 main parts will be delivered through presentation. Those are as follows: First, current market situation and R&D model change will be discussed including closed innovation and open innovation. Rapid market change and paradigm shift of innovation model raised fundamental questions on Korean NGIS R&D structure. Second, past Koran NGIS R&D program, goals and strategies will be introduced. Korean government invested around US$ 200 Million from 1995 through to 2011. And the results, merits & demerits of this investment will be discussed. Third, proposed strategies to Korean government will be introduced, those are ÔInside-Out strategyÕ, ÔOutside-In StrategyÕ and ÔSelect & Focus Strategy.Õ

Topic type		Target Type
Case Studies: Relate your experiences. Policy		People new to open source geospatial Manager Government officials

Additional Presenters
Name	BYUNGNAM CHOE
Organisation	Korean Research Institute of Human Settlements
Email	[e-mail]

ID Number

90

Name	Graeme McFerren
Organisation	CSIR Meraka
Email	[e-mail]

Paper Title	Wide Area Alerting and Notification System for Wildfires (and other nasties)
I can give a practical demo	yes

Paper Abstract (short)

Describes the case study, use cases and heavy use of FOSS4G and other FOSS software in a large alerting and notification system in the vegetation wildfire domain

Paper Abstract (long)

CSIR has developed a software system known as the Wide Area Alerting and Notification System to handle complex alerting and notification requirements in the vegetation wildfire domain. The system is aimed at being fairly generic though, so finds use in other domains too. This presentation describes a number of case studies of the system in use, illustrating the important requirements, before getting to grips with the architecture of and software used in the system. This presentation will describe how the system makes heavy use of several FOSS4G software favourites and relies on a small but interesting open standard, namely CAP (OASIS Common Alerting Protocol).

Topic type		Target Type
Case Studies: Relate your experiences. Disaster Response: software, case studies, outcomes.		End User Technical / Developer

Additional Presenters
Name	Derick Swanepoel
Organisation	CSIR Meraka
Email	[e-mail]
Name	Cheewai Lai
Organisation	CSIR Meraka
Email	[e-mail]

ID Number

406

Name	Tim-Hinnerk Heuer
Organisation	Landcare Research Ltd, New Zealand
Email	[e-mail]

Paper Title	WMS-V - A new way to visualise geo-temporal data
I can give a practical demo	yes

Paper Abstract (short)

We have developed a new way of visualising geo-temporal data by extending the functionality of WMS and caching to produce video tiles/files which, using OpenLayers, can be viewed and interacted with as if they were ÔmapsÕ.

Paper Abstract (long)

There is an increasing amount of geo-temporal data being created. Examples include weather patterns, population movement of plant and animal species, epidemics of the Avian flu, shopping patterns. Generally speaking geo-temporal data is big data which can be difficult to visualise in a web browser. It can be even more challenging to allow a user to dynamically explore the data at different scales and for large geographic areas. Or is it? We have explored different ways of achieving this and in the end came up with a solution which employs a web service, WMS-V, to produce animated web maps or what we call ÔmapimationsÕ. Services like WMS, WMS-C, TMS, etc. delivered by technologies such as MapServer and GeoServer and the like basically tile up spatial data into image tiles that the browser requests. We thought this must be possible for data that changes over time and not just static imagery. Essentially a video is just a series of images, called frames. These frames are shown in quick succession to give the impression of something happening on the screen. WMS-V uses this same technique, however the frames are map images / tiles. Starting with a dataset for a particular phenomena across space and time, maps are requested from a WMS or other tile generating service. Through an automated process, the tiles are stitched together into a standard video format that can then be played in a browser. All tiles for a given geographic extent, scale set, and time period are requested and video tiles created. These videos are cached in a file / directory structure which is readable by the map serving software. Then, dependent on the request sent to this server, videos are sent back to the browser for a particular spatial extent. A fork of OpenLayers has been created, extending its functionality to assemble the correct requests, but instead of static images, it can now request video tiles. Our simple use case is the possum pest problem in New Zealand. We have modelled potential possum population growth in 30 years starting from 2008 and created an instance of WMS-V to visualise the data for animal health specialists and local government. Users can pan and zoom to any part of the country and watch how possum numbers grow and decline over time. We will also show examples of the approach being used for other geo-temporal data. Feedback about both the approach and result has been very positive and we believe WMS-V could be used for all sorts of data. Come and learn whether it will work for you!