Articles | Volume 14, issue 11
https://doi.org/10.5194/essd-14-5111-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-14-5111-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description paper
| 
22 Nov 2022
Data description paper |
| 22 Nov 2022
| 22 Nov 2022
Processing methodology for the ITS_LIVE Sentinel-1 ice velocity products
Division of Geological and Planetary Science, California Institute of Technology, Pasadena, CA 91125, USA
Alex S. Gardner
Jet Propulsion Laboratory, California Institute of Technology,
Pasadena, CA 91109, USA
Piyush Agram
Division of Geological and Planetary Science, California Institute of Technology, Pasadena, CA 91125, USA
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Ice on glaciers and ice sheets may melt and pond on ice surfaces in summer months. Detection and observation of these meltwater ponds is important for understanding glaciers and ice sheets, and satellite imagery has been used in previous work. However, image-based methods struggle with deep water, so we used data from the Ice, Clouds, and land Elevation Satellite-2 (ICESat-2) and the Airborne Topographic Mapper (ATM) to demonstrate the potential for lidar depth monitoring.
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Short summary
This work describes NASA MEaSUREs ITS_LIVE project's Version 2 Sentinel-1 image-pair ice velocity product and processing methodology. We show the refined offset tracking algorithm, autoRIFT, calibration for Sentinel-1 geolocation biases and correction of the ionosphere streaking problems. Validation was performed over three typical test sites covering the globe by comparing with other similar global and regional products.
This work describes NASA MEaSUREs ITS_LIVE project's Version 2 Sentinel-1 image-pair ice...
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