David Frantz
Papers
2
Total Citations
162
H-Index
2
About
David Frantz is a leading figure in the field of large-area remote sensing, with his research fundamentally advancing the operational use of Landsat and Sentinel-2 satellite data. His primary contributions lie in developing robust preprocessing frameworks and rigorously assessing atmospheric correction methods, which are critical for accurate, multi-temporal environmental monitoring. Frantz’s most influential work, “An Operational Radiometric Landsat Preprocessing Framework for Large-Area Time Series Applications” (2016, 99 citations), introduced a pioneering system that efficiently processes vast volumes of multisensor Landsat data. This framework, which integrates a modified Fmask algorithm for cloud detection and Tanré’s radiative transfer model for surface reflectance retrieval, has become a cornerstone for large-scale land surface studies. He further cemented his impact by co-authoring the landmark ACIX-II Land study (2022, 63 citations), a comprehensive benchmark that assessed the performance of state-of-the-art atmospheric correction processors for Landsat 8 and Sentinel-2. By providing the remote sensing community with validated, operational tools and critical inter-comparison data, Frantz has enabled more reliable time-series analyses, directly supporting advancements in agriculture, forestry, and climate change research.
Research Focus
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Top Papers
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