Danielle Christine Stenner Nassarden
Papers
1
Total Citations
15
H-Index
1
About
Danielle Christine Stenner Nassarden is a remote sensing scientist whose work focuses on advancing the characterization of atmospheric aerosols, particularly in complex biomes like the Amazon. Her primary research areas include satellite aerosol retrieval validation, aerosol optical depth (AOD) modeling, and the assessment of atmospheric particle properties at regional scales. Nassarden’s most cited study, “Evaluation of MODIS Dark Target AOD Product with 3 and 10 km Resolution in Amazonia” (2022, 15 citations), makes a critical contribution by systematically comparing two spatial resolutions of the MODIS Dark Target algorithm over the Amazon—a region where aerosol models often struggle due to diverse particle types from biomass burning and natural emissions. This work highlights the limitations of current optical spectral models in representing aerosol effects, both direct and indirect, and underscores the need for refined retrieval techniques. By pinpointing discrepancies in satellite-derived AOD, Nassarden provides essential ground-truth validation that improves the accuracy of global and regional aerosol monitoring. Her research is vital for understanding how aerosols influence climate and air quality in tropical ecosystems, offering a foundation for future advancements in remote sensing of atmospheric composition.
Research Focus
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Top Papers
- 1