Papers
3
Total Citations
62
H-Index
3
About
David Dessailly is a leading expert in ocean color radiometry, with a primary focus on the validation and consistency of satellite-derived data products in optically complex coastal and inland waters. His research centers on assessing the performance of the Ocean and Land Color Instrument (OLCI) aboard Copernicus Sentinel-3 satellites, particularly in challenging environments like the Baltic Sea, where high absorption by colored dissolved organic matter (CDOM) introduces significant uncertainty. Dessailly’s major contributions include rigorous evaluation of operational and alternative atmospheric correction algorithms, such as neural network approaches (NNv2), to improve the accuracy of water-leaving radiance and chlorophyll-a products. His most-cited work, "Assessment of OLCI-A and OLCI-B radiometric data products across European seas" (2022, 39 citations), provides a benchmark for product quality across diverse marine regions. Another key study (2021, 14 citations) demonstrates critical inconsistencies between OLCI, VIIRS, and other sensors under high CDOM absorption, highlighting the need for regional algorithm tuning. By systematically quantifying uncertainties, Dessailly’s work directly supports the operational use of satellite ocean color data for environmental monitoring and climate applications, making him a vital contributor to the Copernicus program's validation efforts.
Research Focus
Key Achievements
Top Papers
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- 3Evaluation of OLCI Neural Network Radiometric Water Products9 citations · 2021