Session 9 Signal Processing and AI/ML Techniques for Lidar Data Analysis

Wednesday, 15 January 2025: 8:30 AM-10:00 AM
336 (New Orleans Ernest N. Morial Convention Center)
Host: 13th Symposium on Lidar Atmospheric Applications
Submitters:
Rory A. Barton-Grimley, NASA, Langley Research Center, Hampton, VA and Ruben Delgado, Bureau of Ocean Energy Management, Earth Sciences Division, Anchorage, AK
Cochairs:
Edward P. Nowottnick, NASA, Greenbelt, MD and Madison Hetlage

Signal Processing and AI/ML Techniques for Lidar Data Analysis

Papers:
8:30 AM
9.1
A DDUNet-Based Denoising Method for Improving Daytime Spaceborne Backscatter Lidar Data
John E. Yorks, GSFC, Greenbelt, MD; and E. P. Nowottnick, P. Selmer, N. Midzak, A. Cresanti, K. Christian, and N. Roldan-Henao

8:45 AM
9.2
Continuous profiling of water vapor, temperature and backscatter coefficients via simultaneous estimation of and denoising applied to a diode-laser-based lidar
Matthew Hayman, NSF NCAR, Center Green Dr., CO; and R. A. Stillwell, W. J. Marais, A. Karboski, and S. M. Spuler

9:00 AM
9.3
UNet CNN Model Validation for Atmospheric Layer Finding and Layer Classification Using CALIPSO Data Collocation
Bolaji John Oladipo, University of Iowa, Iowa City, IA; and J. Gomes, M. J. McGill, P. Selmer, G. Finneman, J. L. Begolka, and S. Kuang
Manuscript (963.9 kB)

9:15 AM
9.4
Machine Learning Based Turbulence Intensity Retrievals from Buoy Based Observations
Tse-Chun Chen, PNNL, Richland, WA; and R. Newsom, A. Kirincich, and R. Krishnamurthy

9:30 AM
9.5
Applications of an Artificial Neural Network in Blowing Snow Detection from Depolarized Lidar Data
Alec Sczepanski, Univ. of North Dakota, Grand Forks, ND; and A. D. Kennedy and N. Wood

9:45 AM
9.6
Space-based lidar denoising methods and validation with focus on CALIOP
Willem J. Marais, Univ. of Wisconsin Madison, SSEC, Madison, WI; and R. Holz, M. A. Vaughan, C. R. Trepte, J. W. Hair, and C. Hostetler

Recorded Presentation
- Indicates paper has been withdrawn from meeting
- Indicates an Award Winner
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