AI techniques for near real-time monitoring of contaminants in coastal waters on board future Phisat-2 mission

arXiv:2404.19586v1 Announce Type: new
Abstract: Differently from conventional procedures, the proposed solution advocates for a groundbreaking paradigm in water quality monitoring through the integration of satellite Remote Sensing (RS) data, Artificial Intelligence (AI) techniques, and onboard processing. The objective is to offer nearly real-time detection of contaminants in coastal waters addressing a significant gap in the existing literature. Moreover, the expected outcomes include substantial advancements in environmental monitoring, public health protection, and resource conservation. The specific focus of our study …

abstract ai techniques artificial artificial intelligence arxiv board cs.cv data future groundbreaking integration intelligence mission monitoring near paradigm processing quality real-time satellite sensing solution through type water