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About

Mariano Bresciani is a leading figure in aquatic remote sensing, whose work bridges the gap between cutting-edge satellite technology and the pressing need to monitor Earth’s inland and coastal waters. His primary research focuses on the development and validation of atmospheric correction algorithms for satellite imagery, a critical step for accurately observing water quality from space. Bresciani’s most influential contribution is the iCOR algorithm, a versatile tool for correcting atmospheric effects in data from Landsat-8 and Sentinel-2, which has become a standard in the field (216 citations). He has been instrumental in assessing the performance of next-generation hyperspectral missions, including Italy’s PRISMA and Germany’s EnMAP, providing the first comprehensive evaluations of their water reflectance products. His work extends beyond satellite validation into autonomous robotics, where he has contributed to stereo vision systems for ship hull inspection and object detection for underwater robots. With over 265 citations across his top papers, Bresciani’s research is foundational for scientists and engineers working to monitor aquatic ecosystems and develop autonomous marine technologies.