IEEE Geoscience and Remote Sensing Magazine - December 2014 - Cover3

CALL FOR PAPERS
IEEE Geoscience and Remote Sensing Magazine

Special issue on
"Big Data from Space"
Big Data from Space refers to Earth and Space observation data collected by space-borne and ground
based sensors. Whether for Earth or Space observation, they qualify being called 'big' given the sheer
volume of sensed data (archived data reaching the exabytes scale), their high velocity (new data is acquired
almost on a continuous basis with an increasing rate), their variety (data is delivered by sensors acting over
various frequencies of the electromagnetic spectrum in passive and active modes), as well as their veracity
(sensed data is associated with uncertainty and accuracy measurements). Last but not least, the value of
big data from space depends on our capacity to extract information and meaning from them. Big Data from
Space is an emerging domain given the recent sharp increase in all three main dimensions of big data:
volume, velocity, and variety. Fortunately, this increase is paralleled by tremendous amount of new
developments related to big data in other fields and enabled by technological breakthroughs and new
challenges in hardware and software developments, multi-temporal data analysis, data management and
information extraction technologies.
This Special Issue - which follows the 2014 Big Data from Space Conference held on 12-14 November 2014 at
ESA, Frascati, Italy - will present a series of papers giving a varied and comprehensive overview on the
various Big data related aspects, from mainstream technology and hardware developments to data access and
data processing issues. The focus will be on the whole data life cycle, ranging from data acquisition by space
borne and ground-based sensors to data management, analysis, visualization and exploitation in the domains
of Earth Observation, Space Science, Climate Science, Astronomy, etc. Special emphasis is put on
highlighting synergies and cross-fertilization opportunities.
The topics of interest include (but are not limited to):
*
Architectures, Infrastructures and Platforms for Big Data
*
Data access, storage and processing paradigms
*
High performance computing
*
Data Mining and Knowledge Discovery
*
Data Visualization and Analytics
*
Data Assimilation
*
Multi-temporal Analysis
*
Global Geospatial Information
*
Semantics and Linked Data
*
Data Quality, Provenance, Trust, Privacy
*
Harmonization and Standards
*
Crowdsourcing and Cyber-science
Format and preliminary schedule.
Articles submitted to this special issue of the IEEE GRSS Magazine must contain significant
relevance to geoscience and remote sensing and big data and should have noteworthy tutorial value.
Selection of invited papers will be done on the basis of 4-page white papers, submitted in doublecolumn format. These papers must discuss the foreseen objectives of the paper, the importance of the
addressed topic, the impact of the contribution, and the authors' expertize and past activities on the
topic. Contributors selected on the basis of the white papers will be invited to submit full manuscripts.
Manuscripts
should be submitted online at http://mc.manuscriptcentral.com/ grsm
using
the
Manuscript
Central
interface.
Prospective
authors should consult the site http://
ieeexplore.ieee.org/servlet/opac?punumber=6245518 for guidelines and information on paper submission.
Submitted articles should not have been published or be under review elsewhere. All submissions will be
peer reviewed according to the IEEE and Geoscience and Remote Sensing guidelines.
Schedule

January 15, 2015
February 15, 2015
April 15, 2015
June 15, 2015
July 31, 2015
September 15, 2015
September 30, 2015
December 2015

White paper submission deadline
Invitation notification
Full paper submission deadline
Review notification
Revised manuscript due
Final acceptance notification
Final manuscript due (strict)
Publication date

Guest editors.
Dr. Pierre Soille, Joint Research Centre, Italy (pierre.soille@jrc.ec.europa.eu)
Mr. Pier Giorgio Marchetti, European Space Agency (pier.giorgio.marchetti@esa.int)
Prof. Lorenzo Bruzzone, University of Trento, Italy (lorenzo.bruzzone@ing.unitn.it)

Digital Object Identifier 10.1109/MGRS.2014.2376451
http://mc.manuscriptcentral.com/ http://http:// http://ieeexplore.ieee.org/servlet/opac?punumber=6245518
Table of Contents for the Digital Edition of IEEE Geoscience and Remote Sensing Magazine - December 2014
