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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
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Survey aircraft: N95NA - Gulfstream GV-5
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Project challenges
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Airborne missions
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Thule AB ramp - slant range calibration
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Height comparison - QC methodology
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Geophysical models applied
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Sea ice drift: [Observed wind speed]
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Sea ice drift calculation
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Sea ice drift vector computation [Copernicus ISO SAF - radar & InSAR]
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[WIP] Machine learning: Predict missing coincident sea ice heights
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[WIP]: Automated melt ponds feature detection and depth analysis
Description:
Explore the validation of Arctic summer sea ice heights using space and airborne lidar technologies in this 57-minute conference talk. Delve into the collaborative effort between the Bureau of Economic Geology at the University of Texas at Austin and NASA to evaluate the accuracy of ICESat-2 ATLAS measurements. Learn about the airborne data acquisition campaign conducted in northwestern Greenland and northeastern Canada, utilizing the Leica Chiroptera-4x airborne lidar system and NASA's Land, Vegetation and Ice Sensor (LVIS). Discover the challenges faced during the missions, including low flight altitude requirements and weather conditions. Examine the preliminary results showing robust correspondence between Chiroptera NIR and ATLAS-07 sensors for measuring sea ice surface heights. Gain insights into ongoing efforts to quantify surface height accuracies, determine melt pond depths, and apply machine learning methods for predicting sea ice surface heights in areas without coincident data. Read more

Validation of Arctic Summer Sea Ice Heights with Space and Airborne Lidar Technologies

Bureau of Economic Geology
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