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Tag: generic platform service

HeatAdapt: Heat stress monitoring supporting Austrian climate change adaptation strategies

Prime company: GeoVille (AT)

Most of the largest cities experience profound changes due to urbanization and hence, city administrations are facing challenges in order to safeguard high quality urban growth despite increasingly tight spatial resources. Modifications in the built up environment increase the temperature of cities compared to their surroundings and are more prone to excess heat. Moreover, climate …

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AI FOR ANIMAL CENSUS AND HABITAT MONITORING

Prime company: EOLAS Insight Ltd (GB)

Development of AI based methods to classify herds of different animals based on the spatial distribution patterns adopted within different herd species. AI based pattern recognition methods based on distribution patterns of animals within a herd detected in EO imagery.

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A MARKETPLACE FOR SATELLITE IMAGE TASKING

Prime company: GEOCENTO LIMITED (GB)

A key indication of the performance of earth observation is how easy, quick and affordable it is to collect fresh imagery of a location. This underpins the viability of value-added services and the credibility of the sector right across markets. It is our contention that fresh image collection rates poorly in this regard, particularly in …

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TRIDENT SERVICE FOR SHIP RECYCLING REGULATION SATEO MONITORING

Prime company: CybELE LAWGICAL LDA (PT)

The TRIDENT project pursued rapid prototyping of a Satellite Earth Observation (SatEO) pre-operational application dedicated to the monitoring of ship recycling laws (and notably the EU Ship Recycling Regulation). During the first phase of the project the needs and requirements of the ship recycling community have been collected and, accordingly, a prototype architecture has been …

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WOODWATCH – NOVEL ALGORITHM DEVELOPMENT FOR EO APPLICATIONS AND SERVICES IN THE FORESTRY DOMAIN

Prime company: PIXSTART (FR)

The goal of Pixstart is to establish a new EO-based service dedicated to the foresters, denoted Woodwatch. This new service will help them to optimize their forest management thanks to ingestion of satellite derived maps into dedicated GIS environments. The present project will consist of developing the scientific part (algorithms) of the Woodwatch service. The …

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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, funded by the ESA, is taking an innovative approach to predicting seasonal wildfire patterns in Europe. SeasFire uses cutting-edge technology, such as modern deep learning models and Earth Observation data, to explore the spatio-temporal connections between atmospheric conditions and fire regimes to gain valuable insights into predicting potential wildfires. The project aligns …

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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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