As a community, those living in the geospatial world have seen significant changes over the past decade. The Internet, mobile devices and the rapid expansion of location‑based services have been bringing everyone directly into contact with locational information on a daily basis. The first major issue, which is driving one of the main trends, is an increasing use of ‘big data’ fusion technologies that enable the analysis of vast quantities of information within practical timeframes.
Big Data refers to a collection of extremely large and complex data sets, which are difficult to process using available database management tools or traditional image/data processing software. To better understand what Big Data is, one should consider the well-established concepts of geo-spatial image and data fusion. Then it becomes possible to harness the power of this new technology to benefit many applications. This would enable to study complex and dynamic environments, such as natural disasters and the impact of climate change in a way not possible until recently. Therefore, the major challenges seem certain to be from the demand for real-time information and real-time modeling. Nevertheless, some techniques such as graphical processing units (GPU), powerful in-memory databases may help to meet the demand for fused spatial and non-spatial analytics in the coming years.
Nowadays, geospatial data is generated actively but also increasingly passively. Users of social media such as Twitter and Facebook are likely to produce vast amounts of spatially-related information unconsciously. Thus a second issue driving data fusion technologies is how to fuse massive crowd-sourced geospatial data efficiently to open it to the public. It is predictable that during the next five to ten years, the advantage of global communication through mobile technology, by means of both passive and active crowd-sourced geo-information is going to make many changes to our daily life.
Mobile technology and crowd-sourced geo-information plus the rapid increase in computer power and storage facilities, have helped the field of remote sensing image and data fusion, as they allow an ever increasing volume, velocity, variety and veracity to be processed. Coupled with many new enabling technologies such as data compression, data mining, the cloud, artificial intelligence, neural networks, have enabled ever larger data sets to be prepared, fused and processed.
The trend to larger data sets is therefore due to the additional information derivable from analysis of the large sets of available earth observation data, combined with the multitude of related data sets such as on environmental parameters, statistical data sets from ground based sensors and sensor webs. Thus, using image and data fusion technologies, one can now find correlations, spot trends, determine quality of research, and discover things not visible in any one data set by itself.
Some of the key research areas for Big Data and Geo-spatial image and data fusion, in terms of algorithms, fundamental research, management, infrastructure and applications are exactly the focus of this Special Issue, namely:
- Multidimensional Big Data
- Cloud Based Infrastructures (applications, storage & computing resources)
- Grid and Stream Computing for Big Data; Database and Web Applications
- Crowdsourcing and Social Networks
- Socio-economical aspect of Big Data in the context of privacy and security
- Multi-source data fusion for Geographical Conditions Monitoring
- Diversity of large data sets including ancillary data sources
- Geographical information extraction algorithms and methodologies
- High performance computing algorithms based on Big Data
- 3D model construction based on crowd-source data
- Photogrammetry and remote sensing image fusion
Manuscripts should be submitted online: here. Research articles, review articles as well as letters in this area are invited.
Authors are recommended to prepare their manuscript by following the instructions for authors.
The papers will undergo a double-blind peer review process. As soon as accepted, papers will be firstly published online continuously and the first six papers accepted will be listed together as the Special Issue. All other papers that are subsequently accepted will be included in the regular issues of the Journal.
There is no charge for publication in this journal.
Submission deadline of manuscripts: June 30, 2017
Final notification of acceptance/rejection: September 30, 2017
Expected inclusion in an issue: December, 2017
- Special Issue Guest Editor: Liang Zhai, Associate Researcher, Deputy Director, Chinese Academy of Surveying and Mapping (CASM), China (email@example.com)
- Special Issue Guest Editor: Wenhan Xie, Associate Researcher, Chinese Academy of Surveying and Mapping (CASM), China (firstname.lastname@example.org)
- Special Issue Guest Editor: Christine Pohl, Representative Chair Remote Sensing and Digital Image Processing, Institute of Computer Science, University of Osnabrueck, Germany (email@example.com)