Papers
3
Total Citations
171
H-Index
3
About
Thomas Schroeder is a leading figure in satellite ocean color remote sensing, with a primary focus on improving atmospheric correction for optically complex coastal and inland waters. His work addresses a critical challenge: standard atmospheric correction algorithms often fail in turbid, high-latitude, and CDOM-rich basins like the Baltic Sea. Schroeder’s major contributions include pioneering the use of multilayer neural networks for atmospheric correction over coastal waters, a method detailed in his highly cited 2017 paper (153 citations), which significantly enhances retrieval accuracy in challenging environments. He has also been instrumental in developing regional operational datasets, such as the Baltic Sea dataset based on Sentinel-3 OLCI, and in conducting the first extensive evaluation of EnMAP hyperspectral water reflectance products. By rigorously assessing multiple atmospheric correction processors, Schroeder provides essential validation for next-generation satellite missions. His work is foundational for researchers studying phytoplankton dynamics, water quality, and biogeochemical cycles in optically complex waters, directly enabling more reliable satellite-derived chlorophyll-a and water quality products.
Research Focus
Key Achievements
Top Papers
- 1Atmospheric correction over coastal waters using multilayer neural networks153 citations · 2017
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