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AI IN SUPPORT TO WATER QUALITY MONITORING
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
This study explores the possibility of using Artificial Intelligence (AI) as a means to support water monitoring. More precisely, it addresses the issue of the quality and reliability of Citizen Science data. The paper addresses the tools and data of the SIMILE (Informative System for the Integrated Monitoring of Insubric Lakes and their Ecosystems) project in order to develop an open pre-filtering system for Volunteer Geographic Information (VGI) of lake water monitoring at the global scale.doi:10.5194/isprs-archives-xliii-b4-2021-167-2021 doaj:6a96fcf91e294f708abe6c2100796052 fatcat:i4obhujt2vgf5kojhjt7assmgy