Search
“Remote Sensing for Marine Litter - RESMALI” has identified the ideal parameters to study marine litter (ML) from space, including spectral bands with affordable signal-to-noise ratio (SNR) at top-of-atmosphere (TOA) level, in a range of wavelengths from visible to SWIR. To continue this path towards a dedicated mission, performance assessment against simulated real-case scenarios of ML is key. We want to build a simulator to estimate ML signal at TOA from a set of scenarios representing the various applications already targeted by the community (e.g.
ARGANS LIMITED
WASP is a prototype EO data processor, developed in the frame of the ESA Discovery Campaign on Remote Sensing of Plastic Marine Litter, exploiting Copernicus Sentinel-2 L1C images to detect and catalogue the presence of filaments of floating marine debris with high probability of containing anthropogenic litter.
ARGANS LIMITED
The Project 'Plastic waste and the Black Sea, monitoring litter at sea and on the land from Sentinel-2 data' was funded by the Discovery element of ESA's Basic Activities, and it had the following objectives:
- To facilitate systematic marine debris detection by Earth observation for tracking them before they beach, if ever, by improving a detection algorithm already sketched and tested, and develop a true detector from it
- To test various methodologies for the detection and identification of terrestrial illegal dumping sites
ARGANS LIMITED
According to the United Nation Environment Program (2005), “Marine Litter” is defined as any item that has been made or used by people and deliberately or accidently discarded either directly into the sea or coast or transported from land into the marine environment.
ARGANS LIMITED
ARGANS LIMITED
In recent years the need for accessing historical Earth Observation data information has greatly increased, driven by long term scientific and environmental monitoring. The need to preserve such data indefinitely has led to the establishment of the Long-Term Data Preservation (LTDP) guidelines for Earth Observation. However to make full use of this data, it is necessary to have sufficient quality information available to be assured about the data quality.
CGI IT UK Limited
ESA has currently a mixture of fixed physical and virtual infrastructure. There are some activities which already make use of dynamic infrastructure (private cloud) for their own needs but this is a minority and still in the early phases. On the other hand, the Gaia mission is using public (Amazon) cloud services for data processing.
CGI IT UK Limited
ESA has a leading role in establishing and maintaining quality control (QC) and quality assurance (QA) strategies in all phases of its Earth Observation (EO) missions. Expressed in the Mission Requirement Documents (MRDs) and in the Phase E Management Plan, these strategies ensure that instrument performance and generated products are monitored and that the scientific and operational mission requirements are met or even exceeded.
ARGANS LIMITED
MAGELLIUM LIMITED
Pages
Filter by programme:
- (-) Remove Discovery filter Discovery
Filter by start year:
- 2011 (4) Apply 2011 filter
- 1989 (3) Apply 1989 filter
- 2010 (2) Apply 2010 filter
- 2012 (2) Apply 2012 filter
- 2020 (2) Apply 2020 filter
- 1990 (1) Apply 1990 filter
- 1991 (1) Apply 1991 filter
- 1992 (1) Apply 1992 filter
- 1998 (1) Apply 1998 filter
- 2002 (1) Apply 2002 filter
- 2003 (1) Apply 2003 filter
- 2006 (1) Apply 2006 filter
- 2017 (1) Apply 2017 filter
- 2022 (1) Apply 2022 filter
Filter by end year:
- 1989 (3) Apply 1989 filter
- 2015 (3) Apply 2015 filter
- 2013 (2) Apply 2013 filter
- 2014 (2) Apply 2014 filter
- 2022 (2) Apply 2022 filter
- 1990 (1) Apply 1990 filter
- 1991 (1) Apply 1991 filter
- 1992 (1) Apply 1992 filter
- 1998 (1) Apply 1998 filter
- 2002 (1) Apply 2002 filter
- 2006 (1) Apply 2006 filter
- 2009 (1) Apply 2009 filter
- 2012 (1) Apply 2012 filter
- 2019 (1) Apply 2019 filter
- 2021 (1) Apply 2021 filter
Filter by keywords:
- Marine Litter (4) Apply Marine Litter filter
- Data treatment (2) Apply Data treatment filter
- plastic litter (2) Apply plastic litter filter
- Space applications (2) Apply Space applications filter
- Data Preservation (1) Apply Data Preservation filter
- Earth observation (1) Apply Earth observation filter
- IT Infrastructure (1) Apply IT Infrastructure filter
- ocean plastic (1) Apply ocean plastic filter
- Prourement (1) Apply Prourement filter
- sentinel 2 (1) Apply sentinel 2 filter
- Software (1) Apply Software filter
- transport modelling (1) Apply transport modelling filter
Filter by contractor:
- (-) Remove limit filter limit
- system (9) Apply system filter
- argan (7) Apply argan filter
- (operations) (6) Apply (operations) filter
- bae (6) Apply bae filter
- oper (6) Apply oper filter
- uk (3) Apply uk filter
- cgi (2) Apply cgi filter
- fmi (2) Apply fmi filter
- it (2) Apply it filter
- analysi (1) Apply analysi filter
- fge (1) Apply fge filter
- magellium (1) Apply magellium filter
- technopoli (1) Apply technopoli filter
- telespazio (1) Apply telespazio filter
- theta (1) Apply theta filter
- vega (1) Apply vega filter
Filter by country:
Filter by application domain:
Filter by competence domain:
Filter by technology domain:
- 16 - Optics (3) Apply 16 - Optics filter
- 6 - RF Subsystems, Payloads and Technologies (1) Apply 6 - RF Subsystems, Payloads and Technologies filter
- 9 - Mission Operation and Ground Data Systems (1) Apply 9 - Mission Operation and Ground Data Systems filter
- 17 - Optoelectronics (1) Apply 17 - Optoelectronics filter