Second Call for Papers: Special Issue on “Big Data Computing for Geospatial Applications” in IJGI

Dear Colleagues,

Earth observation systems and model simulations are generating massive volumes of disparate, dynamic, and geographically distributed geospatial data with increasingly finer spatiotemporal resolutions. Meanwhile, the propagation of smart devices and social media also provide extensive geo-information about daily life activities. Efficiently analyzing those geospatial big data streams enables us to investigate unknown and complex patterns and develop new decision-support systems, thus provides unprecedented values for business, sciences, and engineering.

However, handling the “Vs” (volume, variety, velocity, veracity, and value) of big data is a challenging task. This is especially true for geospatial big data since the massive datasets often need to be analyzed in the context of dynamic space and time. Following a series of successful sessions organized at AAG, this special issue on “Big Data Computing for Geospatial Applications” by the ISPRS International Journal of Geo-Information aims to capture the latest efforts on utilizing, adapting, and developing new computing approaches, spatial methods, and data management strategies to tackle geospatial big data challenges for supporting geospatial applications in different domains such as climate change, disaster management, human dynamics, public health, and environment and engineering.

Potential topics include (but are not limited to) the following:

• Geo-cyberinfrastructure integrating spatiotemporal principles and advanced computational technologies (e.g., high-performance computing, cloud computing, and deep learning).
• New computing and programming frameworks and architecture or parallel computing algorithms for geospatial applications.
• New geospatial data management strategies and data storage models coupled with high-performance computing for efficient data query, retrieval, and processing (e.g. new spatiotemporal indexing mechanisms).
• New computing methods considering spatiotemporal collocation (locations and relationships) of users, data, and computing resources.
• Geospatial big data processing, mining and visualization methods using high-performance computing and artificial intelligence.
• Integrating scientific workflows in cloud computing and/or high performance computing environment.
• Other research, development, education, and visions related to geospatial big data computing.

Interested authors are encouraged to indicate their intention by sending an abstract to any of the guest editors. The deadline for submissions of the final papers is June 30, 2019. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website.