Search engine for discovering works of Art, research articles, and books related to Art and Culture
ShareThis
Javascript must be enabled to continue!

Developments of NRT Level-2 Cloud products in Copernicus Sentinel-3

View through CrossRef
Entrusted by both the European Commission (EC), and Member states, EUMETSAT is on the verge of implementing the comprehensive portfolio of operational Near Real Time (NRT) L2 cloud products for the Copernicus Sentinel-3 mission.To that end, several preparatory studies were conducted in the last years to assess the scientific feasibility and potential expected quality. These include: i.e., Cloud Top Pressure (CTP) from the OLCI O2 spectral bands, Synergy Cloud Mask and obstruction (from both OLCI & SLSTR). Additionally, besides the already-existing cloud-related algorithms (e.g., the Basic Cloud Mask and Bayesian Cloud Mask in L1 SLSTR, the IdePix algorithm among which for OLCI data, etc.), EUMETSAT has also developed two operational NRT L2-related processors for cloud masking and cloud tracking applications:The SLSTR Naïve Probabilistic Cloud and Aerosol detection algorithm (initiated in 2022), tailored for enhanced cloud and aerosol discrimination, and preserving pixels contaminated by dust / ashes / smoke. It is now running within the S3 NRT AOD processor.The SLSTR Atmospheric Motion Vectors (AMVs), which are mesoscale estimations of the wind (speed, direction and height), obtained by tracking cloud features across sequences of images.EUMETSAT is now preparing the phase 2 of Sentinel-3 NRT L2 cloud products and application developments. These will be summarised in this presentation, notably:A cloud mask validation framework of the Naïve Probabilistic Cloud and Aerosol detection algorithm, relying on the comparison of S3 LEO products vs. GEO products (e.g., from MTG/FCI) and machine learning techniques to improve tests, thresholds and decision trees, in partnership with the Laboratoire d’Optique AppliquThe extension of the Naïve Probabilistic Cloud and Aerosol detection algorithm to future NRT L2 aerosol processors, such as the S3 NRT Aerosol Layer Height (ALH). Additionally, thanks to the current internal development of a SLSTR/OLCI L1 synergy product, .And the development of operational NRT cloud products suite that could support not only operational meteorological agencies but also the Sentinel-3 AMV processor, in a similar way as done for the operational AMV products on GEO sensors (MSG/SEVIRI and MTG-I/FCI).
Title: Developments of NRT Level-2 Cloud products in Copernicus Sentinel-3
Description:
Entrusted by both the European Commission (EC), and Member states, EUMETSAT is on the verge of implementing the comprehensive portfolio of operational Near Real Time (NRT) L2 cloud products for the Copernicus Sentinel-3 mission.
To that end, several preparatory studies were conducted in the last years to assess the scientific feasibility and potential expected quality.
These include: i.
e.
, Cloud Top Pressure (CTP) from the OLCI O2 spectral bands, Synergy Cloud Mask and obstruction (from both OLCI & SLSTR).
Additionally, besides the already-existing cloud-related algorithms (e.
g.
, the Basic Cloud Mask and Bayesian Cloud Mask in L1 SLSTR, the IdePix algorithm among which for OLCI data, etc.
), EUMETSAT has also developed two operational NRT L2-related processors for cloud masking and cloud tracking applications:The SLSTR Naïve Probabilistic Cloud and Aerosol detection algorithm (initiated in 2022), tailored for enhanced cloud and aerosol discrimination, and preserving pixels contaminated by dust / ashes / smoke.
It is now running within the S3 NRT AOD processor.
The SLSTR Atmospheric Motion Vectors (AMVs), which are mesoscale estimations of the wind (speed, direction and height), obtained by tracking cloud features across sequences of images.
EUMETSAT is now preparing the phase 2 of Sentinel-3 NRT L2 cloud products and application developments.
These will be summarised in this presentation, notably:A cloud mask validation framework of the Naïve Probabilistic Cloud and Aerosol detection algorithm, relying on the comparison of S3 LEO products vs.
GEO products (e.
g.
, from MTG/FCI) and machine learning techniques to improve tests, thresholds and decision trees, in partnership with the Laboratoire d’Optique AppliquThe extension of the Naïve Probabilistic Cloud and Aerosol detection algorithm to future NRT L2 aerosol processors, such as the S3 NRT Aerosol Layer Height (ALH).
Additionally, thanks to the current internal development of a SLSTR/OLCI L1 synergy product, .
And the development of operational NRT cloud products suite that could support not only operational meteorological agencies but also the Sentinel-3 AMV processor, in a similar way as done for the operational AMV products on GEO sensors (MSG/SEVIRI and MTG-I/FCI).

Related Results

Multi-Resolution Ocean Color roducts to support the Copernicus Marine High-Resolution Coastal Service 
Multi-Resolution Ocean Color roducts to support the Copernicus Marine High-Resolution Coastal Service 
High-quality satellite-based ocean colour products can provide valuable support and insights in the management and monitoring of coastal ecosystems. Today’s availability ...
Towards Advanced Sentinel-3 Near Real Time (NRT) L2 synergy capabilities for enhanced atmospheric imagery characterisation
Towards Advanced Sentinel-3 Near Real Time (NRT) L2 synergy capabilities for enhanced atmospheric imagery characterisation
As an operational user-driven Earth observation satellite agency, EUMETSAT is the reference European provider of Near Real Time (NRT - < 3h from the sensing time) Level 2 (L2) a...
New Developments in Near Real-Time GNSS Zenith Total Delay Estimates at the University of Luxembourg
New Developments in Near Real-Time GNSS Zenith Total Delay Estimates at the University of Luxembourg
Recently, the University of Luxembourg (UL), in collaboration with the United Kingdom Met Office, has started providing accurate near real-time (NRT) Zenith Total Delays (ZTDs) fro...
Operational monitoring of our hazardous planet with Sentinel-1
Operational monitoring of our hazardous planet with Sentinel-1
&lt;p&gt;The European Commission&amp;#8217;s Sentinel-1 constellation, operated by ESA, has been a game changer for operational monitoring of our hazardous planet. When...
The Copernicus Sentinel Fleet: Health check of Planet Earth
The Copernicus Sentinel Fleet: Health check of Planet Earth
&lt;p&gt;The EU Copernicus programme, with seven Sentinel satellites in orbit and further missions planned, delivers terabytes of accurate climate and environmental data ev...
Multi-source forest loss monitoring with SAR and multispectral data time series
Multi-source forest loss monitoring with SAR and multispectral data time series
Suivi multi-sources de la perte forestière utilisant des séries temporelles de données SAR et multispectrales La détection en quasi-temps réel (NRT pour Near Real-T...

Back to Top