Despite the low spectral resolution (4-5 bands), some studies demonstrated the potential of the PlanetScope imagery in the estimation of bathymetry and in-water constituents [26; 27; 28]. Another relevant source of data in this context is hyperspectral satellite sensors, which have been poorly available. Hyperspectral remote sensing or imaging spectroscopy provides hundreds of contiguous and narrow spectral bands with bandwidths of 5-15 nm [29; 30]. However, there is a trade-off among spectral, spatial, and radiometric resolution which constrains the spatial resolution of the spaceborne hyperspectral images to medium/coarse resolutions [31]. A relatively large pixel size is required to ensure that a sufficient number of photons are available to be measured over narrow portions of the spectrum. In this context, the number of satellite missions carrying hyperspectral sensors has been considerably lower than the multispectral ones due to several challenging factors, including (i) maintaining sufficient signal-to-noise ratio (SNR) in bottom-of-atmosphere (BOA) reflectance over narrow spectral bands, (ii) high cost of hyperspectral sensors, and (iii) large data volume and high computational cost [32; 30]. Over the last two decades, Hyperion [33] and Compact High Resolution Imaging Spectrometer (CHRIS) [34] were the main sources of hyperspectral imagery at 30 m resolution [32]. Currently, we have entered a new era of hyperspectral imaging spectroscopy by the very recent availability of the data from PRecursore IperSpettrale della Missione Applicativa (PRISMA) launched in 2019 by the Italian space agency. PRISMA provides hyperspectral images with 239 bands (400-2500 nm) at \(<\)12 nm spectral resolution and 30 m spatial resolution. There is also a suite of upcoming missions that will further expand the hyperspectral remote sensing from space: Environmental Mapping and Analysis Program (EnMAP), Hyperspectral Infrared Imager (HyspIRI), Hyperspectral Imager Suite (HISUI), Hyperspectral X Imagery (HypxIM), Spaceborne Hyperspectral Applicative Land and Ocean Mission (SHALOM), NASA's Plankton, Aerosol, Cloud, Ocean Ecosystem (PACE), and Copernicus Hyperspectral Imaging Mission (CHIME) [32; 35; 36; 37]. With these missions, there is the potential to provide more accurate retrieval of standard aquatic products such as concentrations of Chl-a, TSM, and CDOM due to the high spectral resolution [38]. Moreover, these sensors can potentially provide more detailed information about the optically active constituents such as particle size, phytoplankton species, and functional types [38; 39]. Up to now, the hyperspectral-based studies in the literature are mostly limited to the use of data acquired by airborne platforms. For instance, a study in Pinto Lake (USA) using airborne hyperspectral images demonstrated the importance of high spectral resolution coupled with an accurate atmospheric correction in mapping cyanobacteria species [40]. Multitemporal hyperspectral images from airborne platforms are used to map the Chl-a concentration in turbid productive lakes [41]. The processing of airborne hyperspectral images from a flight campaign for the HyspIRI mission indicated the potential of mapping Chl-a concentration. However, improvements in sensor calibration, sensitivity, and atmospheric correction are suggested for enhancing the retrieval and characterization of other in-water properties such as phytoplankton functional type [42]. The analyses on the simulated water-leaving spectra showed the potential of the upcoming EnMAP hyperspectral data in the differentiation of phytoplankton taxonomic groups [43]. Ref [44] examined the suitability of upcoming HyspIRI data in terms of spatial, temporal, and spectral resolutions for detecting the variations in giant kelp biomass and physiological state using long-term Landsat imagery as well as laboratory/airborne hyperspectral data.