Pollution in Taranto Sea must be monitored constantly to detect potential issues to public health, marine biology and economic activities in the basin. A recent environmental analysis and intervention initiative is performing a systematic and multidisciplinary research on the area. This paper describes the support software platform, which is being devised for the project. It is based on the crowdsourcing paradigm and on open source software and open data formats. The platform collects heterogeneous data from different research units and presents them as multiple georeferenced and timestamped information layers, which can be combined for advanced analysis. The overall architecture, developed tools and prospected integration of Radio Frequency Identification (RFID) technologies for survey sample tracking are discussed in detail.
Supporting Environmental Analysis and Requalification of Taranto Sea: an Integrated ICT Platform / Scioscia, Floriano; Pinto, Agnese; Gramegna, Filippo; Capurso, Giovanna; De Filippis, Danilo; Perez de Vera, Raffaello; Di Sciascio, Eugenio. - ELETTRONICO. - (2016), pp. 197-202. (Intervento presentato al convegno 10th International Conference on Mobile Ubiquitous Computing, Systems, Services and Technologies, UBICOMM 2016 tenutosi a Venezia, Italy nel October 9-13, 2016).
Supporting Environmental Analysis and Requalification of Taranto Sea: an Integrated ICT Platform
Scioscia, Floriano;Pinto, Agnese;Gramegna, Filippo;Capurso, Giovanna;Di Sciascio, Eugenio
2016-01-01
Abstract
Pollution in Taranto Sea must be monitored constantly to detect potential issues to public health, marine biology and economic activities in the basin. A recent environmental analysis and intervention initiative is performing a systematic and multidisciplinary research on the area. This paper describes the support software platform, which is being devised for the project. It is based on the crowdsourcing paradigm and on open source software and open data formats. The platform collects heterogeneous data from different research units and presents them as multiple georeferenced and timestamped information layers, which can be combined for advanced analysis. The overall architecture, developed tools and prospected integration of Radio Frequency Identification (RFID) technologies for survey sample tracking are discussed in detail.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
