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Claude de Rijke-Thomas
Claude de Rijke-Thomas
Verified email at bristol.ac.uk
Title
Cited by
Cited by
Year
Airborne investigation of quasi-specular Ku-band radar scattering for satellite altimetry over snow-covered Arctic sea ice
C de Rijke-Thomas, J Landy, R Mallett, R Willatt, M Tsamados, J King
IEEE Transactions on Geoscience and Remote Sensing, 2023
22023
Co-located OLCI optical imagery and SAR altimetry from Sentinel-3 for enhanced surface classification in sea ice
W Chen, M Tsamados, R Willatt, D Brockley, M Deisenroth, ...
EGU24, 2024
2024
Discrimination of sea ice leads and floes using Deep Learning applied to Sentinel-3 Ocean and Land Colour Instrument (OLCI) imaging spectrometer
W Chen, M Tsamados, R Willatt, S Takao, C Nelson, I Lawrence, S Lee, ...
EGU General Assembly Conference Abstracts, EGU-17318, 2023
2023
Intercomparing Arctic winter radar and laser freeboards obtained from CryoSat-2, AltiKa and ICESat-2 over the common mission period October 2018–April 2021
J Landy, I Glissenaar, C de Rijke Thomas, IR Lawrence, A Petty, ...
AGU Fall Meeting Abstracts 2022, C35C-0904, 2022
2022
Collocated OLCI optical imagery and SAR radar altimetry from Sentinel3 for enhanced sea ice surface classification
D Nasrollahi Shirazi, M Tsamados, I Lawrence, S Lee, T Johnson, ...
EGU General Assembly Conference Abstracts, EGU21-14968, 2021
2021
A comparison between coincident laser and Ku radar versus S-to C-band'snow radar'data for airborne retrievals of snow depth on sea ice
C de Rijke-Thomas, J Landy, J King, M Tsamados
EGU General Assembly Conference Abstracts, EGU21-15636, 2021
2021
Collocated OLCI optical imagery and SAR radar altimetry from Sentinel3 for enhanced sea ice surface classification
DN Shirazi, M Tsamados, I Lawrence, S Lee, T Johnson, ...
EGU21, 2021
2021
Deep Learning for Radar Altimetry Echo Classification and Sea Ice Surface Recognition
C de Rijke-Thomas
2019
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