Publications for GNSS
| Publication Citation |
|---|
| Emmons, D.J., D.L. Wu, N. Swarnalingam, A.F. Ali, J.A. Ellis, K.E. Fitch, and K.S. Obenberger (2024), Improved models for estimating sporadic-E intensity from GNSS radio occultation measurements, Frontiers in Astronomy and Space Sciences, doi:10.3389/fspas.2023.1327979. |
| Merkowitz, S., S. Bolotin, P. Elosegui, J. Esper, L.M. Hilliard, E. Himwich, E.D. Hoffman, D.D. Lakins, R.C. Lamb, F. Lemoine, J.L. Long, J.F. McGarry, D.S. MacMillan, B.P. Michael, C. Noll, E.C. Pavlis, M. Pearlman, C. Ruszczyk, M. Shappirio, and D. Stowers (2019), Modernizing and expanding the NASA Space Geodesy Network to meet future geodetic requirements, Journal of Geodesy, 93, 2263-2273, doi:10.1007/s00190-018-1204-5. |
| Noll, C., R.L. Ricklefs, J. Horvath, H. Müller, C. Schwatke, and M. Torrence (2019), Information resources supporting scientific research for the international laser ranging service , Journal of Geodesy, 93, 2211-2225, doi:10.1007/s00190-018-1207-2. |
| Shaver, D.J., D.L. Wu, N. Swarnalingam, A.L. Franz, E.V. Dao, and D.J. Emmons (2023), Comparison of a Bottom-Up GNSS Radio Occultation Method to Measure D- and E-Region Electron Densities with Ionosondes and FIRI, Remote Sens., 15, 4363, doi:10.3390/rs15184363. |
| Wu, D.L. (2024), THE INDUSTRY’S MOST TRUSTED TECHNICAL RESOURCE SINCE 1990 GUIDING MACHINES Combining GNSS and other sensors is key to effective machine control + A BLACK HOLE IN, A Black Hole in Earth Science. GPS World, 35, 31-32. |
| Wu, D.L. (2024), Recent GPS jamming in regions of geopolitical conflict, GPS World, 35, 38-43. |
| Wu, D.L. (2024), 1 JSTARS-2023-01679 GNSS Signal Jamming as Observed from Radio Occultation, in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing., doi:10.1109/JSTARS.2024.3385738. |
| Wu, D.L., N. Swarnalingam, C.C.J.H. Salinas, D.J. Emmons, T.C. Summers, and R. Gardiner-Garden (2023), Optimal Estimation Inversion of Ionospheric Electron Density from GNSS-POD Limb Measurements: Part I-Algorithm and Morphology, Part I-Algorithm and Morphology. Remote Sens., 15, 3245, doi:10.3390/rs15133245. |
Disclaimer: This material is being kept online for historical purposes. Though accurate at the time of publication, it is no longer being updated. The page may contain broken links or outdated information, and parts may not function in current web browsers. Visit https://espo.nasa.gov for information about our current projects.
