EcoNet is a joint project between the Italian Space Agency (ASI) and the Institute of Nanostructured Materials of the National Research Council of Italy (CNR-ISMN) with the participation of University of Tor Vergata (UTOV) that aims to develop an integrated sensor-driven system managed by artificial intelligence (AI) for monitoring surface waters near human settlements. The present paper outlines the foundational concepts of the project, the methodology and the ongoing activities, with an outlook towards the innovation for downstream applications in the field of aquatic ecosystem monitoring and management.

La Pegna, V., Del Frate, F., De Santis, D., Dragone, R., Grasso, G., Zane, D., et al. (2023). The Econet Project: AI based satellite and ground sensor analysis for surface waters protection. In IGARSS 2023: 2023 IEEE International Geoscience and Remote Sensing Symposium: proceedings (pp.2580-2583). New York : IEEE [10.1109/igarss52108.2023.10282674].

The Econet Project: AI based satellite and ground sensor analysis for surface waters protection

La Pegna, Valeria;Del Frate, Fabio;De Santis, Davide;
2023-01-01

Abstract

EcoNet is a joint project between the Italian Space Agency (ASI) and the Institute of Nanostructured Materials of the National Research Council of Italy (CNR-ISMN) with the participation of University of Tor Vergata (UTOV) that aims to develop an integrated sensor-driven system managed by artificial intelligence (AI) for monitoring surface waters near human settlements. The present paper outlines the foundational concepts of the project, the methodology and the ongoing activities, with an outlook towards the innovation for downstream applications in the field of aquatic ecosystem monitoring and management.
2023 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2023)
Pasadena, CA, USA
2023
IEEE Geoscience and Remote Sensing Society (GRSS)
Rilevanza internazionale
2023
Settore IINF-02/A - Campi elettromagnetici
English
Water Quality
Hyperspectral Satellite Data
Intervento a convegno
La Pegna, V., Del Frate, F., De Santis, D., Dragone, R., Grasso, G., Zane, D., et al. (2023). The Econet Project: AI based satellite and ground sensor analysis for surface waters protection. In IGARSS 2023: 2023 IEEE International Geoscience and Remote Sensing Symposium: proceedings (pp.2580-2583). New York : IEEE [10.1109/igarss52108.2023.10282674].
La Pegna, V; Del Frate, F; De Santis, D; Dragone, R; Grasso, G; Zane, D; Licciardi, G; Sacco, P; Tapete, D
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2108/394796
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