C. S. Seftor
Papers
1
Total Citations
1,202
H-Index
1
About
C. S. Seftor is a leading figure in satellite-based aerosol remote sensing, with a primary focus on improving the retrieval of atmospheric aerosols over bright-reflecting surfaces like deserts and urban areas. Their most impactful contribution is the development of the Enhanced Deep Blue aerosol retrieval algorithm, detailed in the seminal 2013 paper that has garnered over 1,200 citations. This second-generation algorithm, applied to data from the Moderate Resolution Imaging Spectroradiometer (MODIS), significantly advanced the accuracy of aerosol property retrievals over land—a historically challenging domain. By refining the Deep Blue approach, Seftor enabled more reliable monitoring of dust, smoke, and pollution plumes, directly benefiting climate modeling and air quality studies. Their work has been instrumental in the MODIS Collection 5.1 and subsequent datasets, providing a critical resource for the global aerosol community. Seftor’s contributions have not only shaped operational retrieval algorithms but also laid the groundwork for next-generation sensors, cementing their legacy as a key innovator in Earth observation science.
Research Focus
Key Achievements
Top Papers
- 1Enhanced Deep Blue aerosol retrieval algorithm: The second generation1,202 citations · 2013