AGORA-IFM: Information Fusion and Management

Agora-DSM: Dynamic Sensor Management

Natural disasters such as floods, droughts and thunderstorms cause damage and many deaths around the world, and in recent years, Brazil has a large frequency of floods compared to other phenomena disaster. Currently, the information available is insufficient to communities in flood management because they aren’t updated in real time. Accordingly, the data from static sensors, sensor coupled to Unmanned Aerial System (UAS) and humans as sensors, can be integrated to mitigate flood damage. However, managing these web-based heterogeneous geosensores in real time, considering the dynamic context of these situations is a challenge. Therefore, this project aims to develop a service-oriented middleware that uses standard protocols from the initiative Sensor Web Enablement (SWE) to discover, access, subscribe and tasking the heterogeneous geosensores involved in flood management.

Main researcher: Luiz Fernando Ferreira Gomes de Assis.


Agora-CS: Crowd Sensing

Currently, among all extreme events, floods can cause more damage and deaths than any other type of event. Constant monitoring of floods requires real time information. For this, it’s necessary a variety of sensors types to monitor environmental variables. In particular, volunteer information offers a great opportunity for obtaining information about environmental variables, since citizens can act as “sensors”. However, this information is dispersed in different data sources that are unrelated with each other, difficulting the access to them. Therefore, this research aims to develop a service-oriented framework to retrieve information from different sources, in particular volunteer information, and store them in a single one. Moreover, this framework is based on Sensor Observation Service (SOS) to make observations available.

Main researcher: Livia Castro Degrossi


Agora-IFM: Information Fusion and Management

Natural disasters, as floods and storms, are phenomena that cause great harm to people in urban and rural areas, motivating prevention and reaction actions to these accidents. Such actions must consider several information sources in different scenarios to generate good results. In this context, the aim of this work is to develop a flexible geospatial architecture to provide information to authorities (such as the Civil Defense) and communities with the goal of supporting decision making that aims to increase resilience of the population against floods.

Main researcher: Raul Eduardo Simoni Castanhari.