Sensor Webs: Where They are Today and What are the Future Needs?

Abstract

Panel Topic: Sensor Webs: Where They are Today and What are the Future Needs? Increasingly, space and ground sensors are being linked together to produce added value for measurements. One area of need that is emerging is in the Earth Sciences where enhanced measurements of transient science events are enabled via the use of sensor webs. This panel will examine the current state of the art and what the future holds. Furthermore, it will examine what technology gaps that ought to be filled in order achieve the future sensor web architectures that will fulfill the vision of the Global Earth Observing System of Systems (GEOSS) as agreed upon by over 60 countries at the Third Earth Observation Summit in February 2005. Panel members will discuss their experience with past experiments and outline their views about future needs. This will be followed by an open discussion with the audience.

Representing Geospatial Environment Observation Capability Information: A Case Study of Managing Flood Monitoring Sensors in the Jinsha River Basin

“…The Sensor Web is an emerging paradigm for integrating multiple satellites, in situ sensors, and data systems into a common infrastructure that enables the interoperable usage of sensor metadata, data, and data products over the internet [1,2]. The functionality required from such infrastructure includes sensor discovery, access, tasking, eventing, and alerting [3].…”

Grid and sensor web technologies for environmental monitoring

“…The integration of sensor networks with Grid computing brings out dual benefits (Chu et al 2006): (1) sensor networks can off-load heavy processing activities to the Grid and (2) Gridbased sensor applications can provide advance services for smart-sensing by deploying scenario-specific operators at runtime. Sensor web paradigm Sensor Web is an emerging paradigm and technology stack for integration of heterogeneous sensors into common informational infrastructure (Moe et al 2008;Mandl et al 2006). The basic functionality required from such infrastructure is remote data access with filtering capabilities, sensors discovery, and triggering of events by sensors conditions.…”

“…From technological view point, the scenario is implemented using the Sensor Web (Moe et al 2008;Mandl et al 2006) and Grid. The integration of sensor networks with Grid computing brings out dual benefits (Chu et al 2006): (1) sensor networks can off-load heavy processing activities to the Grid and (2) Gridbased sensor applications can provide advance services for smart-sensing by deploying scenario-specific operators at runtime.…”

“…Both spaceborne microwave and optical data can provide means to detect, estimate extent, and assess the damages caused by the drought events (Kogan et al 2004;Wagner et al 2007). To assess vegetation health/stress, which is extremely important for agriculture applications, optical remote sensing data can be used to derive biophysical and biochemical variables such as pigment concentration, leaf structure, water content at leaf level, and leaf area index (LAI), fraction of photosynthetically active radiation absorbed by vegetation (FPAR) at canopy level (Liang 2004). Thus, it can be seen that the aforementioned applications require the use of highperformance computing, reliable infrastructure for efficient data management and processing.…”