ICESat-2 Arctic Sea Ice Surface Topography from the University of Maryland-Ridge Detection Algorithm: April 2019, 2020, and 2021

This dataset is derived from the ICESat-2 (IS-2) Global Geolocated Photon Height Product (ATL03) using the University of Maryland-Ridge Detection Algorithm (UMD-RDA). The UMD-RDA is applied to ATL03 on a per-shot basis, nominally resulting in elevation measurements at IS-2'smaximum along-track...

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Bibliographic Details
Main Authors: Kyle Duncan, Sinead Farrell
Format: Other/Unknown Material
Language:unknown
Published: Zenodo 2022
Subjects:
sea ice
remote sensing
ICESat-2
Arctic
Sea ice
Online Access:https://doi.org/10.5281/zenodo.7044587
Description
Summary:This dataset is derived from the ICESat-2 (IS-2) Global Geolocated Photon Height Product (ATL03) using the University of Maryland-Ridge Detection Algorithm (UMD-RDA). The UMD-RDA is applied to ATL03 on a per-shot basis, nominally resulting in elevation measurements at IS-2'smaximum along-track resolution of ~0.7 m. From these elevation measurements, the UMD-RDA can measure various sea ice parameters including, but not limited to,individual ridge crests andtheir respective sail heights, the distance between ridges,andsea ice surface roughness. This study is supported under NASA Cryosphere Program Grant: 80NSSC20K0966

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