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Marine litter is a global issue; rubbish can be found in all the seas from the equator to the poles, as well as in freshwater systems, such as rivers and lakes. Most marine litter is plastic and, as plastic production continues to increase, greater impacts are expected. Plastic marine litter dramatically affects marine ecosystems and has a huge economic impact.
SkyfloX
Successfully mitigating the damage caused by marine litter requires large-scale, accurate mapping of oceanborne plastics across the globe. Quantifying where and how much plastic debris enters the marine environment in a global spatio-temporal sense is critical in formulating solutions to the plastic pollution problem. Satellite-based measurements can help to survey remote, isolated locations in which direct observations are sparse, costly, and difficult.
MDA systems
The main objectives of the REACT project were to:
▪ Assess how plastic litter can be detected and quantified with current and future remote sensing tools;
▪ Develop adaptive indices insensible to biases induced by sunglint on satellite radiometric products and indicate the constraints of current satellite missions under various atmospheric and illumination conditions;
Planetek
The goal of the project was to generate synthetic data sets of marine debris accumulations and to train on them AI models in view to automatically detect plastic litter accumulations in real EO images.
In order to achieve this goal, the project aimed at the following objectives:
Capgemini
The Project “Plastic waste and the Black Sea (BS), monitoring litter at Sea and on the land from Sentinel-2 data” was funded by the Discovery Element of the ESA's Basic Activities, and it had the following objectives:
ARGANS LIMITED
In-cloud image processing used for civil protection and employed by World Bank.
An in-cloud image processing software built by a GSTP Element 1 activity with Italy has already been employed by the World Bank. Currently, the tools available on the market to view, edit and process Earth Observation images are mostly desktop-based. But, as high performance computing progresses, there is more and more need for Earth Observation image processing to be moved onto the cloud, to minimise data transfer.
Fondazione ACROTEC
The aim of this study was to explore and consolidate the possible sources of methane biases in retrievals from thermal infrared sensors, to establish necessary actions and perform the related work for mitigating biases. The study distinguishes three types of error sources, which shall be covered: spectroscopic knowledge and input data to radiative transfer models, forward model errors, and instrument biases.
SPASCIA
Over the last decades, the spaceborne remote sensing community has been focused on the development of imaging radars at RF frequencies such as S-band, L-band, C-band and X-band.
ITU regulations currently permit the use of Ka-band for active spaceborne microwave remote sensing but only few missions are considering applying this frequency band such as the SARAL mission with the ALtiKa instrument (launched 2013).
DLR - German Aerospace...
Developing a high-performance, but low cost satellite with very high resolution products would open the Earth Observation market to a new audience, creating a path for new applications and ultimately encouraging competitiveness.
These products are currently not often covered by the space industry and access is very limited. As such a new low cost satellite, with turnkey technology could open the market considerably. A new activity, with GSTP Element 2 and Spain, has developed a spacecraft to do just that.
DEIMOS ENGINEERING AND...
The aim of this study was to explore and consolidate the possible sources of methane (CH4) biases in retrievals from thermal infrared (TIR) sensors, to establish necessary actions and perform the related work for mitigating biases. The study distinguisged three types of error sources: spectroscopic knowledge and input data to radiative transfer models (RTM), forward model errors, and instrument biases.
For achieving this goal, the study addresses three main objectives, corresponding to three identified tasks:
SPASCIA
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