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Tag: AI4EO

POst-Process CORrection of satellite data products with New machine learning based approach (POPCORN) 

Prime company: FINNISH METEOROLOGICAL INSTITUTE (FI)

POPCORN is a novel data processing approach for satellite data post-process correction. POPCORN combines the best aspects of the conventional physics-based retrieval algorithms and state-of-the-art machine learning techniques. The aim of the POPCORN project is to develop novel machine-learning-based post-process correction methodology that will improve the Earth observation satellite data accuracy. The methodology will be …

Project detail

Query Planet

Prime company: SINERGISE LTD. (SI)

QueryPlanet aims at democratizing the access of Artificial Intelligence to the Earth Observation community by developing open-tools for the creation of AI-ready EO dataset and use-cases that leverage such datasets to build global insights applications. Material and datasets develop under QueryPlanet are open-access. The project aims at providing open-source tools for the exploitation of Earth …

Project detail

Development of an AI-based Cloud Mask Processor for Sentinel-2

Prime company: KAPPAZETA LTD (EE)

The objective of this activity is to develop the most accurate free and open cloud mask for Sentinel-2 with global coverage and to make it available for global Earth Observation community and promote its usage. For this it is required to separate cloud free areas from cloud- and cloud shadow-corrupted areas as accurately as possible …

Project detail

Frontier Development Lab (FDL) Europe

Prime company: Trillium Technologies Ltd (GB)

FDL Europe is a research collaboration between the ESA’s ɸ-Lab, ESA Esrin and Trillium Technologies and the University of Oxford, in partnership with private industry players such as Google Cloud, Nvidia – Scan, D-Orbit and Planet, in which the latest tools and techniques in Artificial Intelligence (AI) and Machine Learning (ML) are applied to research …

Project detail

AI4EO Rapid Prototyping Environment (AiTLAS)

Prime company: Bias Variance Labs, svetovanje in r (SI)

The amount of available satellite imagery data has been substantially growing since the start of the Sentinel missions. Nevertheless, applications of AI to EO data are still scarce. The main goal of the AiTLAS project is to facilitate the uptake of EO data by AI experts and vice versa – the uptake of (advanced) AI …

Project detail

Deep Learning for Hyperspectral (BEETLES)

Prime company: KP Labs Sp. z o.o. (PL)

Hyperspectral imaging can capture hundreds of images acquired for narrow and continuous spectral bands across the electromagnetic spectrum, hence can allow us to precisely analyze the materials that are present in a scene of interest. However, the large volume of hyperspectral images (HSIs) makes their manual analysis and transfer very costly and time-expensive, especially when …

Project detail

Big EO Data Analytics

Prime company: SPACETEC PARTNERS SPRL (BE)

EO data allows us to gather massive global information about our planet Earth’s physical, chemical and biological systems via satellites carrying remote sensing devices. When large amounts of data are concerned, such as those captured by remote sensing devices on satellites used in EO, our computers and AI algorithms can be used to help us …

Project detail

Artificial Intelligence for SAR at High Resolution (AI4SAR HighRes)

Prime company: ICEYE OY (FI)

AI4SAR is an attempt to harness AI techniques for high-resolution, high-fidelity SAR data, both in time and spatially. It aims to process rapid-revisit SAR data  and develop modular applications for high-frequency monitoring of Earth.  The inherent complexity of the backscattered SAR signal presents a daunting challenge to data scientists and machine learning (ML) engineers, thereby increasing …

Project detail

EO SERVICES DEMONSTRATION IN SUPPORT TO WEST AFRICA CAPACITY BUILDING PROGRAM OF THE OECD ABOUT GOLD MINING PRACTICES

Prime company: Geo212 (FR)

This collaborative tool on artisanal gold mining (ASM) and security will take the form of a secure web mapping platform. The prototype will include some layers of geographic information and various satellite images of ASM areas resulting from automated detection by artificial intelligence, and will propose spatialized indicators and analytics, for example on the evolution …

Project detail
EO Industry Permanently Open Call Users

Soybean futures: innovative use of EO in financial markets

The agricultural commodities market is one of the most active, liquid and vibrant markets in the world thanks to its mix of participants, ranging from individuals to farmers, commercial firms, large corporate companies and government institutions, accessing it from anywhere in the world. Soybeans and soybean by-products are the most-traded agricultural commodities, comprising more than …

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