Events Geospatial Informatics

Conference title
Geospatial Informatics
Description
Geospatial Informatics is the science and technology that develops and uses information science and technology to address applications in the geospatial and geosciences. Recent trends in big data, visual analytics and cloud computing, small satellite technologies, wide availability of low-cost drones, innovations in sensors and the exponentially increasing volumes of geo-aware multi-sensor data streams for layered sensing are driving the development of novel methodologies and tools for integrating and exploiting multi-dimensional (temporal, spatial, and spectral) geospatial information. Geospatial information systems (GIS) combined with spatiotemporal data streams from sensor networks, social networks and ancillary information are enabling new insights and pattern discovery in large environmental, defense, and civil datasets that was not previously possible. GIS is an essential analysis tool to support decision making from time-varying spatial information. Today, defense and civil applications, such as space-based satellite imaging, airborne/unmanned airborne systems (UAS), navigation for autonomous vehicles, terrestrial and maritime-based security systems, are rapidly transforming their focus from volume to value. From a traditional collect-and-view paradigm, that simply “takes pictures” to commercial high value, fully-capable GIS, that incorporate multi-sensor collections, perform advanced processing and analytics in real-time, initiate sensor cross-cueing, and allow multiple user communities to collaborate, rapidly retrieve and disseminate information with improved accuracies. Exploitation of remote sensing data, and temporal data cubes for change analysis, are essential components of the evolving Geospatial Informatics field. Geospatial Informatics and remote sensing data analytics are critical technologies that enable defense and civil data providers to satisfy emerging demands in monitoring and security, for rapid access to information for situational awareness, for forensic retrospective analysis to track past change, and to develop decision models for anticipating future change. Visual or geospatial cloud computing is becoming an enabling technology for large area mapping and in disaster response using small aerial and ground mapping systems with computing at the edge that have limited endurance and communication links. Algorithms, processing chains, work flows, data access, network routing and distributed processing need to be adapted and optimized for visual cloud and fog computing applied to streaming data with high data volume and variety but limited bandwidth, computational resources and node availability. This conference provides a central collaboration point for industry, government, and academic leaders of geospatial informatics, GIS and remote sensing data analytics technologies to share their advancements, learning, and new solutions in algorithms, data integration architectures and standards, and big data science and cloud computing instrumental for achieving predictive analytics.

Events Publications
(All)



Results 1-2 of 2 (Search time: 0.001 seconds).

Issue DateTitleAuthor(s)
121-Apr-2020Performance comparison of different inpainting algorithms for accurate DTM generationAyhan, Bulent ; Kwan, Chiman ; Larkin, Jude ; Kwan, Liyun ; Skarlatos, Dimitrios ; Vlachos, Marinos 
221-Apr-2020Deep learning model for accurate vegetation classification using RGB image onlyAyhan, Bulent ; Kwan, Chiman ; Larkin, Jude ; Kwan, Liyun ; Skarlatos, Dimitrios ; Vlachos, Marinos