Completed
[WIP] Machine learning: Predict missing coincident sea ice heights
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Classroom Contents
Validation of Arctic Summer Sea Ice Heights with Space and Airborne Lidar Technologies
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- 1 Intro
- 2 Motivation - Science questions
- 3 Introduction Materials
- 4 NASA's LVIS
- 5 Leica Chiroptera-4X (CHIR) airborne lidar system
- 6 Survey aircraft: N95NA - Gulfstream GV-5
- 7 Project challenges
- 8 Airborne missions
- 9 Thule AB ramp - slant range calibration
- 10 Height comparison - QC methodology
- 11 Geophysical models applied
- 12 Sea ice drift: [Observed wind speed]
- 13 Sea ice drift calculation
- 14 Sea ice drift vector computation [Copernicus ISO SAF - radar & InSAR]
- 15 [WIP] Machine learning: Predict missing coincident sea ice heights
- 16 [WIP]: Automated melt ponds feature detection and depth analysis
