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Project Homepage:

http://sos.tpac.org.au/geonetwork/srv/en/main.home

Data collections can be seen on:

http://researchdata.ands.org.au/search#!/group=Tasmanian%20Partnership%20for%20Advanced%20Computing/tab=collection

Software is available at:

http://sourceforge.net/projects/andsdcproject/

Software categories:

Sensor Networks

Project Members:

Peter Blain (Project Manager, Peter.Blain@utas.edu.au)

Brendan Davey (Project Manager, Brendan.Davey@utas.edu.au)

Ming Fu (Software Developer, xiao.fu@utas.edu.au)

Matthew Armsby (Software Developer, Matthew.Armsby@utas.edu.au)

Paola Petrelli (Data Analyst, Paola.Petrelli@utas.edu.au)

Brad Lee (Software Developer, Brad.Lee@csiro.au)

ANDS Contact:

Richard Ferrers (richard.ferrers@ands.org.au)

Project Status:

Completed

Data Capture of statewide hydrological data sets

University of Tasmania

Project Description:

The aim of the project is to capture and publish data from the CSIRO and Forestry Tasmania sensor webs. The CSIRO currently manages the collection of climatic data from Tasmania with particular emphasis on the South Esk region. The collection consists of:

• Nineteen sensor placements installed by the CSIRO, providing climatic data.
• Six sensor placements installed by the Tasmania Department of Primary Industry, Parks, Water and environment (DPIPWE), serving a mixture of stream and rainfall data.
• Five sensor placements installed by the Bureau of Meteorology (BOM), serving a mixture of stream and rainfall data.
• Six sensor placements installed by Forestry Tasmania, providing climatic data.


The data is now exposed by two sensor observation services (SOS) serving twenty five sensors, and a THREDDS server providing forecast data.

Descriptions of these online datasets are now being submitted to the ARDC via RIF-CS standard. The sensor web generates the following data products:
• Climate, rainfall and stream-gauge observations.
• A 1km resolution NWP running over the South Esk. We use the CSIRO Cubic Conformal Atmospheric Model (CCAM).
• Cosmic radiation observations, as part of the Australian cosmic ray sensor network.

The project also facilitates the creation of sensor level metadata and the service level metadata that is being sent to ANDS.

Data Type:

sensor data

High Level Software Functionality:

The project aims to publish metadata records from South ESK Sensor Web to ANDS metadata repository. The technical problems need to be addressed in this project are listed as below:
1) Write a sensor observation service (SOS) client to consume metadata provided by South ESK Sensor Web.
2) Convert the SOS metadata records to RIFCS metadata format.
3) Provide these RIFCS metadata to ANDS through OAI-PMH Service.
GeoNetwork provides catalogue services for geospatial data to spatial information communities as well as other communities. It has built-in functions to expose metadata records to third parties such as ANDS through the OAI-PMH protocol. It also has the infrastructure to support translations between different metadata schemas. In version 2.7, it also has a built-in SOS harvester to support collecting metadata from SOS provider and converts it to ISO19139. Therefore, to address above problems and reuse existing functions and services, GeoNetwork is the perfect fit for the project and has been chosen as the project building ground. Since the current SOS harvester implementation in GeoNetwork only translates SOS metadata record into one single ISO19139 metadata record and RIFCS metadata records in ANDS require SOS metadata to be divided by feature of interest, therefore, customization must be made to meet the requirements of the project. The below is a list of changes:
1) Customized the SOS harvester to allow metadata to be stored by feature of interest
2) Added support in SOS harvester to make new HTTP Post request to require location information for each feature of interest
3) Changed time used in SOS harvester to use UTC time, which matches the ANDS harvester request.
4) Changed XSLT translation from SOS to ISO19139 to match the modified SOS metadata
5) Customized XSLT translation from ISO19139 to RIFCS.
6) Modified earliest date in OAI-PMH identify response to fix the bug of not returning first RIFCS metadata record when ANDS sending an OAI-PMH list Records request.
7) Added support in XSLT to allow detection of broken links.

ANZSRC-FOR code:

0503 SOIL SCIENCES
0701 AGRICULTURE
LAND AND FARM MANAGEMENT
0704 FISHERIES SCIENCES
0705 FORESTRY SCIENCES