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Tag: generic platform service

SentiCheck: Sentinel Data-Based Service for Remote Monitoring of Subsoil Use and Detection of Possible Illegal Mining

Prime company: Institute for Environmental Solutions (LV)

The main objective of this activity is to develop an automated Sentinel-based service for remote and regular monitoring of subsoil use in open-cast mining areas with a monthly update frequency and 0.5 ha minimum detectable area to support control of subsoil use and detection of possible illegal mining. The main natural resources located under the …

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BAMS-MAZOVIA: Built-up Areas Monitoring Service for Mazovia

Prime company: Geosystems Polska (PL)

The project created a service platform providing reliable information on changes in built-up areas, derived from Sentinel-2 data in a fully automatic manner using image classification algorithms. These algorithms, selected for the tool, are successfully operated and validated in other Land Cover mapping activities conducted by the consortium partners. Results of the image classification contributed …

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SeasFire: Earth System Deep learning for Seasonal Fire Forecasting in Europe 

Prime company: NATIONAL OBSERVATORY OF ATHENS (GR)

The SeasFire project aims to explore and capture potential spatio-temporal asynchronous links happening between pre-occurring and non-overlapping atmospheric conditions and European fire regimes to predict the seasonal burned areas sizes in Europe by leveraging two major advancements of our time: a) the availability of a huge amount of satellite data with a good spatio-temporal resolution, …

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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 …

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HYPER-CROP – HYPER-RESOLUTION CROP YIELD ESTIMATES AND EXTREME EVENTS CROPS SHOCKS MONITORING BY INTEGRATING MULTIPLE SATELLITE DATA AND MONITORING

Prime company: UNIV PADOVA (IT)

The project will develop an EO-service for Hyper-resolution crop yield estimates and extreme events crops shocks monitoring by integrating multiple SATellite data and modeling, able to support farmers precision agriculture.This will be based on a dynamic calibration/validation system which takes advantage of the high spatial resolution (5-8m) of combined harvesters’ crop yield information. The system …

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SUPER-RESOLUTION ENHANCED DATA FOR EO APPLICATIONS AND SERVICES – VIDEO DATA SUPER-RESOLUTION 

Prime company: MAGELLIUM (FR)

The “New Space” sector remodels the space industry. The multiplication of disruptive innovation methods has increased the possibilities offered in various fields: observation, telecommunication, bugging, navigation assistance, etc. Thus, video acquisition from space offers exciting perspectives of uses. The number of use cases could be numerous if the promises in terms of resolution, acquisition time or …

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Forest Carbon Monitoring

Prime company: VTT TECHNICAL RESEARCH CENTRE OF FINLAND LTD (FI)

Information on forest biomass and carbon is in high demand by forestry stakeholders. This project will develop remote sensing based user-centric approaches for forest carbon monitoring, helping to shift economies towards carbon neutral futures.We aim to develop and implement a prototype of a remote sensing based monitoring and accounting platform with consistent results on carbon …

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E. Ccoli Alert Data Service (EADS)

Prime company: TECHWORKS MARINE LTD (IE)

The aim of this activity is to investigate the viability of developing an Escherichia coli (E. coli) Alert Data Service for environmental agencies and local authorities. This will be carried out via the development of an analysis method for the fusion of in-situ (lab and sensor measurements) and satellite data (optical and radar), validated by …

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DAS-Tool: Multispectral Data Analysis Toolbox for SNAP

Prime company: UNIVERSITY POLITEHNICA OF BUCHAREST (RO)

Computer-based image analysis is essential to assist human understanding and semantic annotation of satellite images of the Earth’s surface. The technical objectives of this project were the elaboration and implementation of dedicated algorithms for Sentinel-2 data analysis. The project proposes an unitary data mining concept that uses advanced data visualisation and explainable features, together with …

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