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Arctic Sea Ice Thickness Estimation from CryoSat-2 Satellite Data Using Machine Learning-Based Lead Detection [PDF]
Satellite altimeters have been used to monitor Arctic sea ice thickness since the early 2000s. In order to estimate sea ice thickness from satellite altimeter data, leads (i.e., cracks between ice floes) should first be identified for the calculation of ...
Hyun-cheol Kim +11 more
core +1 more source
Arctic sea surface height variability and change from satellite radar altimetry and GRACE, 2003–2014 [PDF]
Arctic sea surface height (SSH) is poorly observed by radar altimeters due to the poor coverage of the polar oceans provided by conventional altimeter missions and because large areas are perpetually covered by sea ice, requiring specialized data ...
Aksenov, Y +5 more
core +3 more sources
Comparison of sea-ice freeboard distributions from aircraft data and cryosat-2 [PDF]
The only remote sensing technique capable of obtain- ing sea-ice thickness on basin-scale are satellite altime- ter missions, such as the 2010 launched CryoSat-2.
Gerdes, Rudiger +5 more
core
Coastal sea level from CryoSat-2 SARIn altimetry in Norway
Advances in Space Research, 2018 Abstract Conventional (pulse-limited) altimeters determine the sea surface height with an accuracy of a few centimeters over the open ocean. Sea surface heights and tide-gauge sea level serve as each other’s buddy check. However, in coastal areas, altimetry suffers from numerous effects, which degrade its quality.
Idzanovic, Martina +2 more
openaire +3 more sources
An Assessment of State-of-the-Art Mean Sea Surface and Geoid Models of the Arctic Ocean: Implications for Sea Ice Freeboard Retrieval [PDF]
State-of-the-art Arctic Ocean mean sea surface (MSS) models and global geoid models (GGMs) are used to support sea ice freeboard estimation from satellite altimeters, as well as in oceanographic studies such as mapping sea level anomalies and mean ...
Andersen, Ole Baltazar +8 more
core +1 more source
Assessment of Lead Discrimination from CryoSat-2 [PDF]
, 2012 Sea ice is strongly affecting the global climate, and the sea ice extent has been monitored by satellites since 1979. To estimate the Arctic sea ice volume, ice thickness must be determined. The measurements of sea ice thickness are however more difficult to achieve, and encounter limitations due to spatial and temporal variability. The measurements of
Kildegaard Rose, Stine +5 more
openaire
Earth and Space ScienceIn the summer of 2020, ESA changed the orbit of CryoSat‐2 to align periodically with NASA's ICESat‐2 mission, a campaign known as CRYO2ICE, which allows for near‐coincident CryoSat‐2 and ICESat‐2 observations in space and time over the Arctic until ...
Renée M. Fredensborg Hansen +6 more
doaj +1 more source
Lake Level Estimation Based on CryoSat-2 SAR Altimetry and Multi-Looked Waveform Classification
Remote Sensing, 2016 In this study, reliable water levels for four lakes are estimated based on an innovative processing strategy using a semi-automatic CryoSat-2 Synthetic Aperture Radar (SAR) multi-looked waveform classification.
Franziska Göttl +3 more
doaj +1 more source
Detecting Sea Ice Leads and Floes in the Northwest Passage Using CryoSat-2
IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingKnowledge of sea ice lead and floe density is important for ship navigation, understanding ice pack dynamics, and mapping primary productivity. Furthermore, reliable lead and floe discrimination is essential for the calculation of sea ice freeboard and ...
Amy E. Swiggs +3 more
doaj +1 more source
Remote Sensing, 2019 Time-variable gravity measurements from the Gravity Recovery and Climate Experiment (GRACE) and GRACE-Follow On (GRACE-FO) missions and satellite altimetry measurements from CryoSat-2 enable independent mass balance estimates of the Earth’s ...
Ingo Sasgen +3 more
doaj +1 more source