IEEE TGRS Call for Papers: Special Issue on "Geoscience Data Provenance"

CALL FOR PAPERS

IEEE Transactions on Geoscience and Remote Sensing

Special Issue on “Geoscience Data Provenance

Today, there is an increasing demand to capture provenance in the whole life cycle of remotely sensed geoscience data from acquisition, archival, processing, distribution, to applications and make the provenance information available to user community. The complete and accurate provenance information can bring transparency to data sharing and geoscientific processing, give credit to data and algorithm contributors, make scientific results reproducible and trustworthy, and support advanced data quality analysis. Motivation for capturing and sharing provenance also comes from the distributed data and information infrastructure that has been benefiting the Earth science community in the last decade, such as Spatial Data and Information Infrastructure, e-Science, and Cyberinfrastructure. Traditionally, Earth science data products are produced in the scientific data centers with pre-established processing steps or workflows. In the distributed information infrastructure, data and high-level information products are generated, transformed, published, and disseminated frequently by a broad community of scientific users. In such a data-rich production environment, provenance information is even more important, since scientists rely on the provenance to understand and determine the reliability and usability of a scientific product generated from distributed services and inputs provided by various providers.

Contributions for this special issue are welcome from the research community. The technology covered by this special issue will include latest developments of provenance awareness in all aspects of remote sensing data archiving, information management, search and access, and specialized services for data users, such as on-demand processing and visualization. Enabling technologies such as data management, Cyberinfrastructure, workflow, high performance computing, error propagation, Semantic Web, evolving standards, security, and Web services will be involved. The emphasis will be on the approaches using those technologies to address such issues as provenance capture, representation, storage, query, and usage for understanding, management, traceability, and quality analysis of the diverse Earth remote sensing data and processing flow. The special issue will include, but not be limited to, the following set of topics:

 

List of topics

­  Provenance-aware geoscientific data system architecture;

­  Geospatial provenance models for heterogeneous geoscientific data;

­  Provenance and geospatial metadata;

­  Provenance and geoscientific workflow;

­  Provenance and Geo-Cyberinfrastructure;

­  Provenance capturing in Earth science data and sensor systems;

­  Geoscience data provenance management including storage, query, and dissemination of the provenance;

­  Interoperability approaches for sharing geoscience data provenance;

­  Geoscience data provenance visualization and navigation;

­  Provenance applications in geoscience such as geoscientific data quality evaluation and trust analysis;

 

Paper submission deadline: 30 September 2012

Submission guidelines

Prospective authors should follow the regular guidelines of TGRS, and should submit their manuscripts electronically to http://mc.manuscriptcentral.com/tgrs. Please indicate during your submission that the paper is intended for this Special Issue. Inquiries with respect to the special issue should be directed to the Guest Editors.

Guest Editors

Liping Di 

Center for Spatial Information Science and Systems (CSISS)

George Mason University, USA

ldi@gmu.edu

Peng Yue 

State Key Laboratory of Information Engineering in Surveying,

Mapping and Remote Sensing (LIESMARS)

Wuhan University, China

geopyue@gmail.com

Hampapuram K. Ramapriyan 

NASA Goddard Space Flight Center

USA

hampapuram.k.ramapriyan@nasa.gov

Roger King 

Center for Advanced Vehicular Systems (CAVS)

Mississippi State University, USA

rking@cavs.msstate.edu