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

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. Additionall...

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Published in:Remote Sensing
Main Authors: Gibert, Ferran, Boutin, Jacqueline, Dierking, Wolfgang, 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
Format: Text
Language:English
Published: MDPI AG
Subjects:
geo
Online Access:https://doi.org/10.3390/rs13142847
https://archimer.ifremer.fr/doc/00707/81882/86593.pdf
https://archimer.ifremer.fr/doc/00707/81882/
id fttriple:oai:gotriple.eu:10670/1.odny2c
record_format openpolar
spelling fttriple:oai:gotriple.eu:10670/1.odny2c 2023-05-15T18:17:16+02:00 Results of the Dragon 4 Project on New Ocean Remote Sensing Data for Operational Applications Gibert, Ferran Boutin, Jacqueline Dierking, Wolfgang 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 https://doi.org/10.3390/rs13142847 https://archimer.ifremer.fr/doc/00707/81882/86593.pdf https://archimer.ifremer.fr/doc/00707/81882/ en eng MDPI AG doi:10.3390/rs13142847 10670/1.odny2c https://archimer.ifremer.fr/doc/00707/81882/86593.pdf https://archimer.ifremer.fr/doc/00707/81882/ other Archimer, archive institutionnelle de l'Ifremer Remote Sensing (2072-4292) (MDPI AG), 2021-07 , Vol. 13 , N. 14 , P. 2847 (26p.) geo envir Text https://vocabularies.coar-repositories.org/resource_types/c_18cf/ fttriple https://doi.org/10.3390/rs13142847 2023-01-22T18:49:32Z 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. Text Sea ice Unknown Remote Sensing 13 14 2847
institution Open Polar
collection Unknown
op_collection_id fttriple
language English
topic geo
envir
spellingShingle geo
envir
Gibert, Ferran
Boutin, Jacqueline
Dierking, Wolfgang
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
Results of the Dragon 4 Project on New Ocean Remote Sensing Data for Operational Applications
topic_facet geo
envir
description 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.
format Text
author Gibert, Ferran
Boutin, Jacqueline
Dierking, Wolfgang
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
author_facet Gibert, Ferran
Boutin, Jacqueline
Dierking, Wolfgang
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
author_sort Gibert, Ferran
title Results of the Dragon 4 Project on New Ocean Remote Sensing Data for Operational Applications
title_short Results of the Dragon 4 Project on New Ocean Remote Sensing Data for Operational Applications
title_full Results of the Dragon 4 Project on New Ocean Remote Sensing Data for Operational Applications
title_fullStr Results of the Dragon 4 Project on New Ocean Remote Sensing Data for Operational Applications
title_full_unstemmed Results of the Dragon 4 Project on New Ocean Remote Sensing Data for Operational Applications
title_sort results of the dragon 4 project on new ocean remote sensing data for operational applications
publisher MDPI AG
url https://doi.org/10.3390/rs13142847
https://archimer.ifremer.fr/doc/00707/81882/86593.pdf
https://archimer.ifremer.fr/doc/00707/81882/
genre Sea ice
genre_facet Sea ice
op_source Archimer, archive institutionnelle de l'Ifremer
Remote Sensing (2072-4292) (MDPI AG), 2021-07 , Vol. 13 , N. 14 , P. 2847 (26p.)
op_relation doi:10.3390/rs13142847
10670/1.odny2c
https://archimer.ifremer.fr/doc/00707/81882/86593.pdf
https://archimer.ifremer.fr/doc/00707/81882/
op_rights other
op_doi https://doi.org/10.3390/rs13142847
container_title Remote Sensing
container_volume 13
container_issue 14
container_start_page 2847
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