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1st IJSDIR Special Call for geospatial dataset descriptions

1st IJSDIR Special Call for geospatial dataset descriptions Spatial Data Infrastructures (SDIs) fundamentally rely on geospatial datasets by supporting their management, discovery, access, view and processing. The International Journal of Spatial Data Infrastructures Research (IJSDIR) wants to promote a richer understanding of datasets themselves through short articles which will provide the following:

· readers with information about data beyond typical metadata;

· authors with the opportunity to have their data peer-reviewed and readily referenced; and

· publishers with examples of how (geospatial) data is research output worth reviewing and sharing.

Accordingly, the IJSDIR is currently preparing a special call for papers that provide a direct reference and concise description of a geospatial dataset. Accepted papers will describe, in concise and clear terms, key characteristics of a dataset, its previous applications and potential areas for reuse.

The call will be announced shortly on this page. Potential contributors, however, are already invited to indicate their interest to the editor.
( sven.schade at jrc.ec.europa.eu )

IJSDIR is a peer-reviewed journal published exclusively on line by the Joint Research Centre of the European Commission.

The aim of the Journal is to further the scientific endeavor underpinning the development, implementation and use of Spatial Data Infrastructures (SDIs). These are defined as frameworks of technologies, data, policies, institutional arrangements, and people aimed at increasing the availability, understanding, and use of spatial data and services to support policy, business, research, and society at large.

The Journal is published free of charge and adheres to the Open Archives Initiative, which aims to facilitate the dissemination of electronic content.

Date August 11, 2014

Manager of Operational Earth Observation Data Production

Raw Data Research RS UK

Manager of Operational Earth Observation Data Production The Plymouth Marine Laboratory is looking for a enthusiastic person to fill the role of Manager of Operational Earth Observation Data Production. The post will have overall responsibility for project managing operational data production systems emanating from the Earth Observation Group.

Key Deliverables:


  • Manage the timely and efficient processing of near-real time and archived EO data.
  • Monitor operational data flows for problems, inefficiencies, potential problems; improve automated tools to assist with this.
  • Manage maintenance, enhancement and systems issues.
  • Chair meetings, prioritising, and ensuring progress on developments and requests.
  • Act as the point of contact between EO group/computing-support to ensure effective communication.
  • Manage EO group data requests.
  • Identify and facilitate data requests from EO projects, e.g. NERC NEODAAS, ESA CCI and EC MyOcean.
  • Manage a team involved with operational software to:

    • Monitor code review procedure to address hold-ups.
    • Contribute to code reviews and overarching documentation.
    • Promote coding standards within EO.
    • Performance manage team members, providing support and guidance as required.

  • Manage a team involved with operational datasets to:

    • Manage dataset versioning, cataloguing, freezing, archiving.
    • Monitor external EO data sources for when we need to acquire/reprocess EOSA datasets.
    • Routinely update global datasets/ancillary data; improving automated tools for this.
    • Performance manage team members, providing support and guidance as required.

  • Manage EOSA technical developments.
  • Manage bi-monthly technical development meetings, coordinating common development strands in EOSA projects (NEODAAS, MyOcean, CCI, etc.) prioritising, chasing up developments.
  • Other project management duties as may be agreed: e.g. EOSA, NEODAAS and ARSF projects.

Experience:
You will have:

  • Either a degree or equivalent experience in a relevant discipline;
  • Experience of large scale data processing ideally batch-processing clusters, or HPC or cloud usage;
  • Management & monitoring of computing systems / software;
  • An understanding of the concepts of coding and the ability to guide others;
  • Proven experience with scalability particularly from the coding point of view;
  • An understanding of networks and particularly how this impacts performance;
  • A track record in project management and ability to describe and deliver sound project management methodology;
  • Experience in people management;
  • Excellent communication skills.

Salary: £36,378 - £41,703
Closing Date: 1200hrs on Monday 8th September 2014

Date August 11, 2014

Lecturer in the Centre for Polar Observation & Modelling

Research GIS RS UK

Lecturer in the Centre for Polar Observation & Modelling The Centre for Polar Observation and Modelling (CPOM), in the Department of Earth Sciences at University College London seeks candidates for a position at Lecturer grade. Applicant’s research should compliment and strengthen the current research portfolio of CPOM (outlined below). We are seeking to appoint an outstanding individual with academic standing, vision and proven expertise who will provide leadership in their field of expertise, develop world-class research programmes and contribute to advanced teaching and knowledge exchange activities.

CPOM is a Natural Environment Research Council (NERC) supported research center that studies processes in the Earth's polar latitudes with regional and global implications. CPOM has world leading expertise in using satellite radar altimetry to observe the polar oceans, sea ice and the land ice and in using these measurements to better understand the physical processes occurring there. CPOM also uses theoretical and laboratory-derived understanding to form new models of interactions between the ice, ocean and atmosphere, and uses ground and satellite observations to test the predictions of these and other climate models.

The successful candidate will have an outstanding record of academic research, a strong publications portfolio, a track record of success in income generation from public and/or commercial sources, and will be able to work collaboratively with an inter-disciplinary approach.

UCL vacancy reference : 1428697
Salary:£41,430 to £48,873
Closing Date: 29th August 2014

Date August 11, 2014

PhD Studentship - An automated Infrared Computer Vision system for the Remote Sensing of Convective Clouds

Research RS Programming UK

PhD Studentship - An automated Infrared Computer Vision system for the Remote Sensing of Convective Clouds The Wolfson School of Mechanical & Manufacturing Engineering at Loughborough University have a PhD studentship studying automated Infrared Computer Vision system for the Remote Sensing of Convective Clouds.

As one of the biggest engineering schools of its kind in the UK, the Wolfson School of Mechanical and Manufacturing Engineering has an international reputation for being at the forefront of technological innovation and for maintaining extensive links with industry.

Clouds play an important role in influencing the dynamics of local and global weather climate conditions. Continuous monitoring of clouds is vital for weather forecasting and air-traffic safety. A PhD studentship is available for a high calibre candidate to join a collaborative project between Loughborough University and Campbell Scientific Ltd to develop an automated ground-based image processing system for the recognition and monitoring of clouds. The research topic focuses on developing new concepts, methods and algorithms to enable accurate and reliable ground-based cloud observations using an infra-red camera.

The candidates must be expecting, or have already obtained a first degree (1st class or high 2:1 honours or equivalent) in Mechanical Engineering, Physics or other relevant subject. Good communication skills are essential and an interest in, and understanding of basic meteorology and digital image processing would be an advantage.

Stipend: up to £17,000
Job Ref: DK050814
Closing Date: 1st October 2014

Date August 11, 2014

Free CAD Files of 241 Major World Cities

Free GIS World

Free CAD Files of 241 Major World Cities Arch Daily has made CAD files for 241 major cities around the World available free on its website. The data is sourced from OpenStreetMap. The credit for the act of kindness and openness goes to Brandon Liu, a San Francisco based developer.

The files do have some limitations, due to the way they were converted from online data (perhaps the most limiting is that roads are only marked by a single line), however the files give information on roads categorized from major to minor, buildings, railways, parks and bodies of water, with each element given its own layer on the drawing.

More information about how the files were created can be found on Brandon website.

Date August 8, 2014

Call for papers for IJGI Special Issue on "Open Geospatial Science and Applications"

Open Source Research GIS World

Call for papers for IJGI Special Issue on "Open Geospatial Science and Applications" We invite original research contributions on all aspects of open source geospatial software and its applications, and particularly encourage submissions focusing on the following themes for this Special Issue special issue of ISPRS International Journal of Geo-Information (ISSN 2220-9964):


  • The use of open source geospatial software and data, in and for scientific research
  • Academic endeavors to conceptualize, create, assess open source geospatial software and data, and teach such usage.
  • Use of Open Data and Big Data
  • Data quality, software quality
  • Open source implementations
  • Open SDI
  • Community building
  • Assessment of costs and benefits of open source applications and open source business models
  • Architectures and frameworks for open source software and data
  • Teaching geospatial sciences with open source solutions and open data
  • Open Source GIS application use cases: government, participatory GIS, location based services, health, energy, water, climate change, etc.
  • Human computer interfaces and usability in and around Open GI systems


Important Dates

Abstracts Due: 15/08/2014
Approved Abstracts: 30/08/2014 (put as planned papers online)
Manuscripts Due: 28/02/2015
Decision to Authors: 05/04/2015
Final Papers Due: 15/05/2015

Date August 8, 2014

GRASS GIS 7.0.0 beta 3 is out

Free Open Source GIS

GRASS GIS 7.0.0 beta 3 is out Spotted on the Ecostudies blog, GRASS GIS 7.0.0 beta 3 is out. The latest release is still in beta but should bring a raft of fixes and improvements to both the interface and processing speeds.


  • The graphical user interface based on wxPython has been enriched with many new features in order to make complex GIS operations available as simple as possible.
  • The old Tcl/Tk based GUI has been dropped.
  • Relevant new features are available in the core system, among the most important the new Python interface to the C library. This new feature permits Python developers to create new modules in a simple way while at the same time creating powerful and fast modules.
  • there are a series of new modules to analyse raster and vector data; some of the already existing modules were improved and made faster (some even 1000 x faster).


For more information, please visit the GRASS GIS page.

Date August 7, 2014

Skybox Imaging + Google

Raw Data GIS RS World

Skybox Imaging + Google Google have completed their purchase of Skybox Imaging for a rumoured $500 million in cash. Skybox Imaging specialises in real-time hi-res satellite imaging and videos. They have been at the forefront of hi-res real time imaging and the deal with Google should ensure that the Skybox team have the resources to continue turning science fiction ideas into reality.

You can read more about the deal and what it means to Skybox imaging on their blog. You can also read two articles about Skybox Imaging posted on GoGeo in October 2013 and May 2014.

Date August 7, 2014

NSIDC Release New MODIS Mosaic of Antarctica

RS GIS Free Raw Data

NSIDC Release New MODIS Mosaic of Antarctica The National Snow and Ice Data Center (NSIDC) is pleased to announce the release of the MODIS Mosaic of Antarctica 2008-2009 Image Map (MOA2009). This data set consists of two cloud-free digital image maps that show surface morphology and a quantitative measure of mean optical surface snow grain size on the Antarctic continent and surrounding islands.

MOA2009 represents the second in a series of MOA image mappings. The image map products have been generated and presented in a near-identical manner as the first mapping, the MODIS Mosaic of Antarctica 2003-2004 image Map (MOA2004). MOA2004 has also been updated with several new grain size image files providing both springtime and summer estimates of mean snow grain size.

A third MOA image mapping, based on data from the 2013-2014 austral summer (MOA2014), is planned for future publication later this year.

The data for MOA2009 were generated from 259 orbit swaths from the Moderate Resolution Imaging Spectroradiometer (MODIS) instrumentation on board the NASA EOS Aqua and Terra satellites. The algorithm and tools for assembling the mosaic were developed by the NASA Cryospheric Sciences Program. Final processing and some adjustments to the snow grain size were completed under the NASA MEaSUREs Antarctic Ice Velocity grant. The Antarctic Glaciological Data Center (AGDC) at NSIDC offers data access, tools and information at the following page:

Date August 5, 2014

Messaging, Augmented Reality and Geofencing

Mobile

Messaging, Augmented Reality and Geofencing I have just been reading about a new way to combine messaging, augmented reality and geofencing over on the New Scientist website. Essentially the app, Traces, would allow users to create a mini-treasure hunt for their mates. So:


  • you send them a message which tells them to go to a location
  • they go there and launch the app
  • they see a bubble floating in the air on the screen
  • they burst the bubble and reveal the treasure which could be a media file, or a link to a present that you have bought them

Quite a nice little concept really which has lots of interesting applications when you think about it. I am sure you could use it in teaching and learning as well to direct students to places where they then discover information related to that place or object.

Date August 5, 2014
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