Constructing multi-source satellite-derived water quality (WQ) products in inland and nearshore
coastal waters from the past, present, and future missions is a long-standing challenge. …

Passive ocean color images have provided a sustained synoptic view of the distribution of
ocean optical properties and color and biogeochemical parameters for the past 20-plus years. …

The use of satellites to monitor the color of the ocean requires effective removal of the
atmospheric signal. This can be performed by extrapolating the aerosol optical properties to the …

The use of satellites to monitor the color of the ocean requires effective removal of the
atmospheric signal. This can be performed by extrapolating the aerosol optical properties in the …

Knowing that coastal areas concentrate about 60% of the world’s population (within 100 km
from the coast), that 75-90% of the global sink of suspended river load takes place in coastal …

The diffuse attenuation coefficient, K d (λ) is a fundamental radiometric parameter that is
used to assess the light availability in the water column. A neural network approach is …

The development of algorithms for remote sensing of water quality (RSWQ) requires a large
amount of in situ data to account for the bio-geo-optical diversity of inland and coastal waters…

Abstract Machine learning covers a large set of algorithms that can be trained to identify
patterns in data. Thanks to the increase in the amount of data and computing power available, it …

Standard atmospheric correction (AC) algorithms work well in open ocean areas where the
water inherent optical properties (IOPs) are correlated with pigmented particles. However, …

Lidar techniques present a distinctive ability to resolve vertical structure of optical properties
within the upper water column at both day- and night-time. However, accuracy challenges …