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EarthServer Project goes into the second round

News Date: 
21 Jul 2015

The EarthServer initiative is establishing Agile Analytics on Petabyte data cubes as a commodity.

Pushing the boundaries of Big Earth Data services, the intercontinental Earthserver initiative enables researchers to browse, access, and analyze massive multi-dimensional data sets from a wide range of sources. Big Earth Data at your fingertips - this is the vision of EarthServer for unleashing the potential of Big Data through a disruptive paradigm shift in technology:

  • from isolat-ed silos of data with disparate functionality towards a single, uniform information space;
  • from a difficult, artificial differentiation between data and metadata access to unified retrieval;
  • from zillions of files towards few whatever-size datacubes;
  • from limited functionality to the freedom of asking anything, anytime, any server in a peer network of data centers worldwide.

In phase 1, EarthServer has established open ad-hoc analytics on massive Earth Science data, based on and extending the leading Array Database technology, rasdaman. According to EU Commission and inde pendent reviewers, rasdaman will "significantly transform the way that scientists in different areas of Earth Science will be able to access and use data in a way that hitherto was not possible" as demonstrated by portals with over 230 TB of spatio-temporal data. EarthServer "with no doubt has been shaping the Big Earth Data landscape through the standardization activities within OGC, ISO and beyond".

Now phase 2 of EarthServer has started, with an even more ambitious goal: data centers will provide at least 1 Petabyte of 3-D and 4-D datacubes. Technology advance will allow real-time scaling of such Petabyte cubes, and intercontinental fusion. This power of data handling will be wrapped into direct visual interaction based on multi-dimensional visualization techniques, in particular: NASA World Wind. Following the motto "a cube says more than a million images" EarthServer has set out to redefine the Big Data service landscape even more.

This way, critical support will be given to Copernicus and the Sentinel satellite data: a single 3D x/y/t datacube will be constructed for each satellite instrument so that millions of images form a single, simple data space, irrespective of its size resulting. Likewise, each climate dataset will form a single 4D datacube. Access to these cubes is through a clean-slate standards-based query language on n-D grids, OGC WCPS. This yields the agility that any query can be sent at any time, without admin intervention on server side. Multiple cubes can be combined based on parallel, distributed processing. Altogether, the WCPS language allows navigation, extraction, aggregation, and fusion of any-size space/time data cubes using simple, yet powerful query operators.

The consortium consists of Jacobs University (Germany, coordinator), rasdaman GmbH (Germany, SME), , Plymouth Marine Laboratory (UK), European Center for Medium-Range Weather Forecasts (UK), MEEO s.r.l. (Italy, SME), and CITE S.A. (Greece, SME). Additionally, two high-profile international organizations participate: NASA (US) and National Computational Infrastructure (Australia).

Read more: http://www.earthserver.eu

Heike Hoenig

GeoMoose 2.8.0 Released

News Date: 
21 Jul 2015

GeoMoose 2.8.0 has been released. It contains both fixes for bugs found in the 2.7.1 release and implements many new feature requests.

For more information on what changed see: http://www.geomoose.org/releases/2.8.0.html

As always, downloads are available at: http://www.geomoose.org/download.html

GeoMoose 2.8 Release Manager

GRASS GIS 6.4.5 released

News Date: 
20 Jul 2015

We are pleased to announce the new stable release of GRASS GIS 6.4.5

After months of development the GRASS GIS 6.4.5 release is now available. This is a stability release of the GRASS GIS 6 line.

Source code download:

Binaries download:

To get the GRASS GIS 6.4.5 source code directly from SVN:

Key improvements:

Key improvements of the GRASS GIS 6.4.5 release include stability fixes (esp. concerning the vector library), selected fixes for wxPython3 support, selected module fixes, and more message translations.

See also our detailed announcement.

First time users should explore the first steps tutorial after installation:

Please join us in testing this release candidate for the final release.

Consider to donate pizza or beer for the next GRASS GIS Community Sprint (following FOSS4G Europe 2015 in Como):

Thanks to all contributors!


The Geographic Resources Analysis Support System (http://grass.osgeo.org), commonly referred to as GRASS GIS, is an Open Source Geographic Information System providing powerful raster, vector and geospatial processing capabilities in a single integrated software suite. GRASS GIS includes tools for spatial modeling, visualization of raster and vector data, management and analysis of geospatial data, and the processing of satellite and aerial imagery. It also provides the capability to produce sophisticated presentation graphics and hardcopy maps. GRASS GIS has been translated into about twenty languages and supports a huge array of data formats. It can be used either as a stand-alone application or as backend for other software packages such as QGIS and R geostatistics. It is distributed freely under the terms of the GNU General Public License (GPL). GRASS GIS is a founding member of the Open Source Geospatial Foundation (OSGeo).

The GRASS Development Team, July 2015

American Geographical Society Announces Endorsement of the “Geo for All” Initiative

News Date: 
15 Jul 2015

It is our great pleasure to share the excellent development of the American Geographical Society's endorsement of the “Geo for All Initiative”, developed by the International Cartographic Association (ICA) and the Open Source Geospatial Foundation (OSGeo). “Geo for All” aims to provide expertise and support for the establishment of Open Source Geospatial Laboratories and Research Centers across the world for supporting development of open-source geospatial software technologies, training, and expertise.

Established in 1851, the American Geographical Society is the oldest professional geographical organization in the United States. It is recognized world-wide as a pioneer in geographical research and education in geography for over 163 years. The mission of AGS is to advance geographic knowledge and the recognition of its importance in the contemporary world. AGS promotes the use of geography in business, government, science, and education with a goal to enhance the nation’s geographic literacy so as to engender sound public policy, national security, and human well-being worldwide. AGS is the only organization focused on bringing together academics, business people, those who influence public policy (including leaders in local, state and federal government, not-for-profit organizations and the media), and the general public for the express purpose of furthering the understanding of the role of geography in our lives. AGS provides leadership to frame the national discussion of the growing importance of geography and geo-spatial tools. The Society maintains its headquarters in Brooklyn Heights, New York.

More details at http://americangeo.org/7142015-american-geographical-society-announces-endorsement-of-the-geo-for-all-initiative/

This endorsement from the American Geographical Society comes at an important phase in our development. We crossed our 100th lab milestone last week with UCL as our 101st Open Source Geospatial Lab bringing together staff and students from the Department of Civil, Environmental and Geomatic Engineering, the Centre for Advanced Spatial Analysis, the Department of Archaeology and the Department of Geography at UCL . Details at https://www.ucl.ac.uk/gis/OSGeo

Right now at Como in Italy at FOSS4G-Europe http://europe.foss4g.org/2015/ , our colleagues are meeting to discuss our future expansion plans in particular for discussing GeoForAll expansion to thousands of schools globally and expand our teacher training initiatives with collaboration from governments , industry and universities globally.

This endorsement from the American Geographical Society is a great boost to all our "Geo for All" colleagues worldwide. "Geo for All" started from nothing and it is 100 percent the efforts of all our colleagues from OSGeo, ICA and ISPRS who joined together on a common education mission that made this all possible. I am grateful to each and every colleague for their hardwork and dedication for our mission for building a better world and better future for all our future generations.

This is just the start and we look forward to working with all for making education and opportunities accessible to all.

Best wishes,

Suchith Anand

The Sixth ACM SIGSPATIAL International Workshop on GeoStreaming

News Date: 
11 Jul 2015

The Sixth ACM SIGSPATIAL International Workshop on GeoStreaming (IWGS 2015) in conjunction with the 23rd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL GIS 2015)
November 3, 2015, Seattle, Washington

Aim and Scope:

We are entering the era of "big data" thanks to the exponential growth and availability of structured and unstructured data, among which a large amount are real-time streaming data emitted from sensors, imagery and mobile devices. In addition to the temporal nature of stream data, various sources provide stream data that has geographical locations and/or spatial extents, such as geotagging twitter streams, mobile GPS location streams, spatial temporal image streams, and so on. On one hand, this amount of streamed data has been a major propeller to advance the state of the art in geographic information systems. On the other hand, the ability to process, mine, and analyze that massive amount of data in a timely manner prevented researchers from making full use of the incoming stream data. The geostreaming term refers to the ongoing effort in academia and industry to process, mine and analyze stream data with geographic and spatial information.

This workshop addresses the research communities in both stream processing and geographic information systems. It brings together experts in the field from academia, industry and research labs to discuss the lessons they have learned over the years, to demonstrate what they have achieved so far, and to plan for the future of "GeoStreaming". We encourage researchers from academia and industry to submit papers that highlight the value of GeoStream data processing, analyzing, and mining on topics that include, but not limited to the following:

  • Spatio-temporal stream systems
  • Spatio-temporal stream query processing
  • Real-time mining of spatial and spatio-temporal data
  • Location-aware stream systems
  • Privacy preserving in mobile object databases
  • Traffic monitoring and prediction
  • Geosensing technologies and their application
  • Geosampling and probabilistic spatial stream query processing
  • Real-time geographical information extraction and retrieval
  • Geosocial networks
  • Main memory and/or real time indexing of moving objects
  • Real-time spatial data visualization
  • Spatio-temporal stream processing on cloud
  • Participatory spatio-temporal data streams and Volunteered Geographic Information (VGI) systems
  • Use of hardware acceleration in real-time stream processing
  • The use of stream processing in traffic management, aerospace, earthquake physics, geodynamics, weather forecasting, asset management and scientific applications

Note: Extended versions of selected IWGS papers will be invited for publication at a Special Issue of GeoInformatica on GeoStreaming.

Paper Submission:

We welcome submissions of both technical papers and vision/position papers:

  • Full research paper: up to 10 pages (8 pages recommended)
  • Short technical or vision paper: up to 4 pages

Papers must be electronically submitted in PDF format at the submission site.

Note: This year there will be awards for best full paper and best short/vision paper at the workshop.


  • Farnoush Banaei-Kashani, University of Colorado Denver
  • Chengyang Zhang, Teradata Inc.
  • Abdeltawab Hendawi, University of Washington Tacoma

Program Committee:

  • Mohamed Mokbel, University of Minnesota, Twin Cities
  • Zdravko Galic, University of Zagreb
  • Yan Huang, University of North Texas
  • Timos Sellis , RMIT University, Australia
  • Mohammed Al-Kateb, Teradata
  • Bao Jie, Microsoft Research Asia
  • Chi-Yin Chow, City University of Hong Kong

Important Dates:

  • Paper Submission Deadline: August 24, 2015
  • Notification of Acceptance: September 21, 2015
  • Camera-Ready Submissions: October 1, 2015
  • Workshop Date: November 3, 2015

Call for Papers: 5th International Workshop on Mobile Entity Localization and Tracking in GPS-less Environments

News Date: 
10 Jul 2015

5th International Workshop on Mobile Entity Localization and Tracking in GPS-less Environments
co-located with ACM SIGSPATIAL 2015
November 3, 2015 -- Seattle, Washington, USA

The mobile and sensing research communities have made remarkable progress in location sensing and activity detection in the recent years. However, many challenging problems still remain, including location and activity recognition accuracy, power management, effective sensor fusion, spatial environment representation, labor-less environmental surveys, crowd computing, and big data analytics of real-time and historical semantic locations and activities. We are soliciting papers and extended abstracts of up to four proceeding pages long. All contributions that deal with the scientific analysis of location and activity data sets are welcome. The papers for the workshop may include previously published or submitted work.

Workshop Scope:
The workshop specifically solicits research including but not limited to the following topics: Algorithms: Heterogeneous sensor data fusion for mapping and localization, probabilistic and statistical inferences, optimization, signal processing, and machine learning techniques for MELT problems, analysis of trade-offs of performance metrics (e.g. accuracy vs. time and cost), collaborative localization and mapping techniques, ad-hoc or opportunistic localization and mapping, efficient fingerprinting techniques, location data mining and prediction, location data acquisition and interpretation, energy-efficient localization and tracking methods, big data analytics, activity recognition using multi-modal sensor data, real-time and historical semantic localization;
Indoor map representations and automatic region or outline extractions, local and global maps and locations, geographical vs. topological maps, sparse vs. dense maps, map annotations, point of interest graphs, dynamic maps with real-time information, map markup languages or standardization, semantic location extraction and representation;
Localization systems on smartphones or mobile platforms, integrated with heterogeneous sensors (Wifi signal strength, inertial sensing, compass, odometry, etc.), efficient and accurate mapping systems using 2D or 3D cameras, active lighting or laser range finders;
User Interfaces:
Effective interface for entering and presenting maps and locations, notes or annotations for point of interests, innovative mechanisms for representing topological relations or maps with partial geographic information, efficient survey and mapping techniques;
Emergence personal localization, vehicular tracking in GPS-less areas, sports and entertainments, fleet management; asset, yard or inventory tracking, location-based recommendation or activity management.
Paper Submission Details:
Authors are invited to submit a short paper or an extended abstract up to four pages of new or previously published work. Manuscripts should be submitted in PDF format and formatted using the ACM camera-ready templates available at http://www.acm.org/sigs/pubs/proceed/template.html. All submissions will be refereed for quality and relevance by the Program Committee.

Submission URL: https://www.easychair.org/conferences/?conf=melt2015

The proceedings of the workshops are expected to be published jointly with the conference proceedings and will appear in the ACM Digital Library. One author per accepted workshop contribution (paper, poster, demo) is required to register for the workshop and the conference, as well as attend the workshop to present the accepted submission.

Important Dates
August 31, Monday, 2015, 23:59 PS Paper due
September 18, Friday, 2015 Acceptance notification
September 28, Monday, 2015 Camera ready submission
November 3, Tuesday, 2015 Workshop date


General Co-Chairs:
Ying Zhang, Google, USA.
Bodhi Priyantha, Microsoft Research, USA

Program Chair:
Alexander Varshavsky, Google, USA

Publicity Chair
Jing (David) Dai, Google, USA

Local Chair:
Mark L. Chang, Google, USA

Finance Chair:
Richard Fuller, OmniTrail Technologies, USA

Panel Chair:
Bhaskar Mehta, Google, USA

Advisory Committee:
Saumitra Das, Qualcomm, USA
Lukas Kencl, Czech Technical University, Czech
Jie Liu, Microsoft Research, USA

Technical Program Committee:
Mark L. Chang, Google, USA
Xin Chen, HERE/Nokia, USA
Yao-Yi Chiang, University of Southern California, USA
Saumitra Das, Qualcomm, USA
Michal Ficek, Telefonica, Spain
Richard Fuller, OmniTrail, USA
Lukas Kencl, Czech Technical University, Czech
John Krumm, Microsoft Research, USA
Jie Liu, Microsoft Research, USA
Sherman Lo, Stanford University, USA
Chuanjiang Luo, Google, USA
Bhaskar Mehta, Google, USA
Bodhi Priyantha, Microsoft Research, USA
Jing (David) Dai, Google, USA
Alexander Varshavsky, Google, USA
Joy Zhang, Carnegie Mellon University, USA
Ying Zhang, Google, USA