THE ECONET PROJECT: USE OF AI FOR SURFACE WATER MONITORING WITH SATELLITE AND GROUND SENSOR DATA

被引：0

作者：

La Pegna, Valeria ^{[1
]}

Del Frate, Fabio ^{[1
]}

De Santis, Davide ^{[1
]}

Cappelli, Dario ^{[1
]}

Frezza, Martina ^{[1
]}

Dragone, Roberto ^{[2
]}

Grasso, Gerardo ^{[2
]}

Zane, Daniela ^{[2
]}

Brunetti, Bruno ^{[2
]}

Foglia, Sabrina ^{[2
]}

Licciardi, Giorgio ^{[3
]}

Sacco, Patrizia ^{[3
]}

Tapete, Deodato ^{[3
]}

机构：

[1] Univ Tor Vergata, Dipartimento Ingn Civile & Ingn Informat, Via Politecn 1, I-00133 Rome, Italy

[2] Consiglio Nazl Ric CNR ISMN, Ist Studio Mat Nanostrutturati, Ple Aldo Moro 5, I-00185 Rome, Italy

[3] Agenzia Spaziale Italiana ASI, Via Politecn Snc, I-00133 Rome, Italy

来源：

IGARSS 2024-2024 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, IGARSS 2024 | 2024年

关键词：

Hyperspectral remote sensing; bio/chemosensoristic devices; Artificial Intelligence; water quality;

D O I：

10.1109/IGARSS53475.2024.10640422

中图分类号：

P9 [自然地理学];

学科分类号：

0705 ; 070501 ;

摘要：

The activities undertaken within the EcoNet project aim at the design and development of an integrated system for the monitoring of changes in surface waters natural status based on different sensoristic techniques. The proposed integration approach combines ground measurements and hyperspectral satellite images. The promising dialogue that occurs between these two multi- sensoristic technologies requires the implementation of appropriate tools for data handling and analysis which in this work are represented by Artificial Intelligence (AI), particularly suitable to retrieve very subtle relationships among the data. This integration can open enormous potential for overcoming the limits of traditional environmental monitoring and diagnostic techniques.

引用

页码：978 / 981

页数：4

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