Sensor Fusion and Visualization in IoT Applications for Environmental Monitoring

Dear Colleagues,

In environmental monitoring, many different kinds of sensors are used to collect information,

such as, obviously, temperature, humidity, particulate matter, pressure, and also gasses present in the atmosphere. These data can be collected using sensors able to gather unidimensional data in time.

However, the same data can be collected by means of sensors with two, three or even more dimensions. An example can be temperature, which can be collected using thermal imaging cameras.

Data can also be recorded remotely, eventually from a big distance.

In particular, with the spread of IoT linked sensors, it is now possible to collect data remotely and then also show them by means of advanced visualization techniques.

Here is a list of the main topics of interest in this Special Issue, also considering that the relevance is not limited to these issues but extended to all papers dealing with a fusion of multiple sensors in IoT environmental monitoring applications:

• Databases and data fusion for multiple sensors management;
• Sensors and technologies for rainfall and snowfall measurements in wide sensor networks management and visualization;
• Augmented and virtual reality for sensor fusion;
• Multivariate visualization of environmental data;
• Scientific visualization of vector fields from multiple sensors in a 2D and 3D environment;
• Fiber Bragg grating (FBG) sensors and complex data visualization;
• LWIR and MWIR imaging;
• RFID-based sensor networks and data visualization;
• Environmental monitoring in mobility, in particular in urban contexts;
• GPS, LIDAR and radar data fusion.

Prof. Dr. Bartolomeo Montrucchio
Guest Editor

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