4.7 Article

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

Journal

REMOTE SENSING
Volume 13, Issue 14, Pages -

Publisher

MDPI
DOI: 10.3390/rs13142847

Keywords

radar altimetry; sea ice thickness; sea ice classification; sea ice drift; sea surface height; significant wave height; sea level anomaly; geostrophic currents; Fully-Focussed SAR; sea surface salinity

Funding

  1. European Space Agency (ESA) [4000121621/17/1-NB]
  2. National Key Research and Development Programme of China [2016YFA0600102, 2018YFC1407203]
  3. National Nature Science Foundation of China [41976173]
  4. Ocean Salinity Satellite Mission of China and Oceanic application with high-resolution satellites of China
  5. Sea Surface Salinity Climate Change Initiative project - ESA [4000123663/18/I-NB]

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This paper outlines the Dragon 4 project's focus on sea ice monitoring, altimetry data product development, and sea surface salinity retrieval. New methods and detection schemes were developed to improve sea ice thickness retrieval, evaluate sea ice drift, and assess oceanic features using different altimeters.
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.

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