Stephen E. Dunagan
Organization:
NASA Ames Research Center
First Author Publications:
- Dunagan, S. E., et al. (2017), Spectrometer for Sky-Scanning, Sun-Tracking Atmospheric Research (4STAR), doi:20170005591.
- Dunagan, S. E., et al. (2013), Spectrometer for Sky-Scanning Sun-Tracking Atmospheric Research (4STAR): Instrument Technology, Remote Sens., 5, 3872-3895, doi:10.3390/rs5083872.
- Dunagan, S. E., et al. (2011), 4STAR Spectrometer for Sky-Scanning Sun-Tracking Atmospheric Research: Instrument Technology Development, 34th International Symposium on Remote Sensing of the Environment, Sydney, Australia, 10-15 Apr 2011.
- Dunagan, S. E., et al. (2009), Small Satellite and UAS Assets for Coral Reef and Algal Bloom Monitoring. Proceedings, 33rd International Symposium on Remote Sensing of the Environment, May 5-9, Stresa, Italy. Paper, #332, 1-5.
Co-Authored Publications:
- LeBlanc, S., et al. (2022), Airborne observations during KORUS-AQ show that aerosol optical depths are more spatially self-consistent than aerosol intensive properties, Atmos. Chem. Phys., doi:10.5194/acp-22-11275-2022.
- LeBlanc, S., et al. (2020), Above-cloud aerosol optical depth from airborne observations in the southeast Atlantic, Atmos. Chem. Phys., 20, 1565-1590, doi:10.5194/acp-20-1565-2020.
- Berg, L. K., et al. (2016), (2016), The Two-Column Aerosol Project: Phase I—Overview and impact of elevated aerosol layers on aerosol optical depth, J. Geophys. Res., 121, 336-361, doi:10.1002/2015JD023848.
- Jethva, H., et al. (2016), Validating MODIS above-cloud aerosol optical depth retrieved from “color ratio” algorithm using direct measurements made by NASA's airborne AATS and 4STAR sensors, Atmos. Meas. Tech., 9, 5053-5062, doi:10.5194/amt-9-5053-2016.
- Jethva, H., et al. (2016), Validating MODIS above-cloud aerosol optical depth retrieved from “color ratio” algorithm using direct measurements made by NASA’s airborne AATS and 4STAR sensors, Atmos. Meas. Tech., 9, 5053-5062, doi:10.5194/amt-9-5053-2016.
- Knobelspiesse, K., et al. (2015), Cloud thermodynamic phase detection with polarimetrically sensitive passive sky radiometers, Atmos. Meas. Tech., 8, 1537-1554, doi:10.5194/amt-8-1537-2015.
- Segal-Rozenhaimer, M., et al. (2014), Tracking elevated pollution layers with a newly developed hyperspectral Sun/Sky spectrometer (4STAR): Results from the TCAP 2012 and 2013 campaigns, J. Geophys. Res., 119, doi:10.1002/2013JD020884.
- Shinozuka, Y., et al. (2013), Hyperspectral aerosol optical depths from TCAP flights, J. Geophys. Res., 118, 12,180-12,194, doi:10.1002/2013JD020596.
- Schmid, B., et al. (2011), 4STAR Spectrometer for Sky-scanning Sun-tracking Atmospheric Research: Results from Test-flight Series, Paper A14E-05, American Geophysical Union Fall Meeting, San Francisco, 5-9 December 2011.
- Stoker, C. R., et al. (2008), The 2005 MARTE robotic drilling experiment in Rio Tinto, Spain: Objectives, approach and results of a simulated mission to search for life in the Martian subsurface, Astrobiology (submitted).
- Stoker, C. R., et al. (2005), The, robotic drilling experiment in Rio Tinto, Spain..
- Herwitz, S., et al. (2004), Demonstration of UAV-based imaging for agricultural surveillance and decision support, Computers & Electonics in Agriculture, 44, 49-61.
- Johnson, L., et al. (2004), Feasibility of monitoring coffee field ripeness with airborne multispectral imagery, Applied Engineering in Agriculture, 20, 845-849.
- Ambrosia, V., et al. (2003), Demonstrating UAV-acquired real-time thermal data over fires, Photogrammetric Engineering and Remote Sensing, 69, 391-402.
- Peterson, D. L., et al. (2003), Platform options of free-flying satellites, UAVs or the International Space Station for remote sensing assessment of the littoral zone, Int. J. Remote Sensing, 24, 2785-2804.
- Hammer, P. D., et al. (2001), Surface reflectance mapping using interferometric spectral imagery from a remotely piloted aircraft, IEEE Trans. Geosci. Remote Sens., 39, 2499-2506.
- Hammer, P. D., et al. (2001), Surface reflectance mapping using interferometric spectral imagery from a remotely piloted aircraft, IEEE Trans. Geosci. Remote Sens., 39, 2499-2506.