Papers
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Total Citations
7
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About
Daniel Scheffler is a leading figure in hyperspectral remote sensing, with a primary focus on the calibration, validation, and atmospheric correction of satellite-derived water reflectance data. His most impactful work centers on the German Environmental Mapping and Analysis Program (EnMAP), where he conducted the first extensive evaluation of EnMAP’s standard water leaving reflectance products. In his highly cited 2024 study, Scheffler assessed three different atmospheric correction processors across 17 diverse water sites, providing a critical benchmark for the mission’s early performance. This work has already garnered 7 citations, establishing a foundational reference for the EnMAP user community. By rigorously validating the accuracy of spaceborne hyperspectral data over aquatic targets, Scheffler’s contributions directly support the reliable monitoring of water quality, coastal ecosystems, and inland waters. His research is essential for scientists and engineers working to operationalize hyperspectral satellite data for environmental management, ensuring that products like EnMAP’s normalized water leaving reflectance meet the stringent demands of global water science.
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