[1] An application of 1D convolution and deep learning to remote sensing modelling of Secchi depth in the northern Adriatic Sea ...

Focused on the development of an understanding of interaction of light with seawater constituents, variability in ocean optical properties, and propagation of light within the ocean and across the air ...

David Herring, Science, Systems, and Applications, Inc.

The primary area of research is air-sea interaction, including the topics of surface wave dynamics, air-sea fluxes, upper ocean turbulence, including Langmuir circulations, and the remote sensing of ...

Abstract: Remote sensing image super-resolution (SR) aims to reconstruct high-resolution (HR) remote sensing images from low-resolution (LR) inputs, thereby addressing limitations imposed by sensors ...

However, due to sensor failures, cloud cover, and thick aerosols, the collected remote sensing data for various ocean factors, such as chlorophyll-a (Chl-a) concentration and sea surface temperature ...

Laboratory for Ocean Physics and Satellite remote sensing, UMR6523, CNRS-Ifremer-IRD-UBO ...

Software tools written support spatial data analysis.

[2] Lake bottom relief reconstruction and water volume estimation based on the subsidence rate of the post-mining area (Bytom, Southern Poland) ...

In the United States, the appetite for ocular advantage is fueling a remote sensing revolution that’s driven by exquisite commercial imagery from space. Emboldened by the shrinking cost and ...