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Results of the Dragon 4 Project on New Ocean Remote Sensing Data for Operational Applications

Permanent lenke
https://hdl.handle.net/10037/24309
DOI
https://doi.org/10.3390/rs13142847
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article.pdf (6.775Mb)
Publisert versjon (PDF)
Dato
2021-07-20
Type
Journal article
Tidsskriftsartikkel

Forfatter
Gibert, Ferran; Boutin, Jacqueline; Dierking, Wolfgang Fritz Otto; Granados, Alba; Li, Yan; Makhoul, Eduard; Meng, Junmin; Supply, Alexandre; Vendrell, Ester; Vergely, Jean-Luc; Wang, Jin; Yang, Jungang; Xiang, Kunsheng; Yin, Xiaobin; Zhang, Xi
Sammendrag
This paper provides an overview of the Dragon 4 project dealing with operational monitoring of sea ice and sea surface salinity (SSS) and new product developments for altimetry data. To improve sea ice thickness retrieval, a new method was developed to match the Cryosat-2 radar waveform. Additionally, an automated sea ice drift detection scheme was developed and tested on Sentinel-1 data, and the sea ice drifty capability of Gaofen-4 geostationary optical data was evaluated. A second topic included implementation and validation of a prototype of a Fully-Focussed SAR processor adapted for Sentinel-3 and Sentinel-6 altimeters and evaluation of its performance with Sentinel-3 data over the Yellow Sea; the assessment of sea surface height (SSH), significant wave height (SWH), and wind speed measurements using different altimeters and CFOSAT SWIM; and the fusion of SSH measurements in mapping sea level anomaly (SLA) data to detect mesoscale eddies. Thirdly, the investigations on the retrieval of SSS include simulations to analyse the performances of the Chinese payload configurations of the Interferometric Microwave Radiometer and the Microwave Imager Combined Active and Passive, SSS retrieval under rain conditions, and the combination of active and passive microwave to study extreme winds.
Forlag
MDPI
Sitering
Gibert, Boutin, Dierking, Granados, Li, Makhoul, Meng, Supply, Vendrell, Vergely, Wang, Yang, Xiang, Yin, Zhang. Results of the Dragon 4 Project on New Ocean Remote Sensing Data for Operational Applications . Remote Sensing. 2021;13(14):1-26
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  • Artikler, rapporter og annet (fysikk og teknologi) [1058]
Copyright 2021 The Author(s)

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