Vittorio E. Brando

TL;DR: Environmental noise calculations demonstrate that Hyperion has sufficient sensitivity to detect optical water quality concentrations of colored dissolved organic matter, chlorophyll, and suspended matter in the complex waters of Moreton Bay.

TL;DR: In this paper, a comprehensive review of multispectral ocean color sensor data is presented to understand the spatio-temporal patterns of phytoplankton blooms and their triggering factors.

TL;DR: A comprehensive overview of water constituent retrieval algorithms and underlying definitions and models for optically deep and complex waters using earth observation data is provided in this article, where the performance of these algorithms is assessed based on validation experiments published between January 2006 and May 2011.

TL;DR: The theoretical basis of GIOP is described, a preliminary default configuration for GIOP (GIOP-DC) is proposed, and its comparable performance to other popular SAAs is presented and the sensitivities of their output to their parameterization are quantified.

TL;DR: In this paper, the spatial and spectral resolutions of Hyperion and the capability of physics-based approaches were considered highly suitable for testing the integration of remote sensing related technologies into the water quality monitoring programs of Lake Garda (the largest Italian lake), and water quality was assessed by defining a bio-optical model, converting the Hyperion at-sensor radiances into subsurface irradiance reflectances, and adopting a Bio-Optical model inversion technique.