RapidAI4EO - Advancing the State-of-the-Art for Rapid and Continuous Land Monitoring

Informazioni relative al progetto

RapidAI4EO

ID dell’accordo di sovvenzione: 101004356

DOI

10.3030/101004356

Progetto chiuso

Data della firma CE 16 Ottobre 2020

Data di avvio 1 Gennaio 2021

Data di completamento 31 Marzo 2023

Finanziato da

• INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies – Space

Costo totale

€ 1 498 987,50

Contributo UE

€ 1 498 987,50

Coordinato da

VLAAMSE INSTELLING VOOR TECHNOLOGISCH ONDERZOEK N.V.
Belgium

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

Demonstrators, pilots, prototypes (3)

Change Detection Demo

Demo for Change Detection with interactive heatmap visualizations showing the automatically identified changes in CLC classes

Demo of RapidAI4EO

Demonstration of high cadence change detection and improved LULC mapping on the ONDA DIAS platform

Tentative POC with VHR imagery other than PlanetScope

A proof of concept of the RAPIDAI4EO framework with VHR data other than PlanetScope

Open Research Data Pilot (2)

Packaged Augmented SpatioTemporal Training Corpus for open sourcing

Package all datasets generated from Tasks 16 in preparation for open sourcing

Packaged SpatioTemporal Training Corpus for open sourcing

Package all datasets generated to date in preparation for open sourcing

Documents, reports (3)

Monthly accuracy of change maps at 3 and 10 m res

Validation of monthly heat maps of change over Europe

Monthly accuracy of CLC maps at 3 and 10 m res

Validation of monthly LULC maps for the 3 AOIs

Implementation roadmap

An assessment of the operationalisation of the demonstrated service in terms of its readiness for an operational deployment in the future in particular its costbenefit calendar and operational feasibility

Data sets, microdata, etc (1)

36 monthly CLC+ Backbone raster layers over the 3AOIs

Continuous monthly updates of the CLC+ backbone raster classification at 10m and 3m resolution using

Websites, patent fillings, videos etc. (1)

Project and Product Website

Pubblicazioni

Conference proceedings (3)

RapidAI4EO: A Corpus for Higher Spatial and Temporal Reasoning

Autori: Giovanni Marchisio, Patrick Helber, Benjamin Bischke, Timothy Davis, Caglar Senaras, Daniele Zanaga, Ruben Van De Kerchove, Annett Wania
Pubblicato in: 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 2021, Pagina/e 1161-1164, ISBN 978-1-6654-0369-6
Editore: IEEE
DOI: 10.1109/igarss47720.2021.9553080

Rapidai4EO: A Multi-Format Dataset For Automated Land Cover Classification And Change Detection

Autori: Timothy Davis, Benjamin Bischke, Patrick Helber, Giovanni Marchisio, Caglar Senaras, Daniele Zanaga, Ruben Van de Kerchove, Annett Wania
Pubblicato in: Proceedings of the 2021 conference on Big Data from Space, 2021, Pagina/e 65-68, ISBN 978-92-76-37661-3
Editore: Publications Office of the EU
DOI: 10.2760/125905

Rapidai4Eo: Mono-and Multi-Temporal Deep Learning Models for Updating the Corine land Cover Product

Autori: P. Bhugra, B. Bischke, C. Werner, R. Syrnicki, C. Packbier, P. Helber, C. Senaras, A. S. Rana, T. Davis, W. De Keersmaecker, D. Zanaga, A. Wania, R. Van de Kerchove, G. Marchisio
Pubblicato in: IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium, 2022, ISBN 978-1-6654-2793-7
Editore: IEEE
DOI: 10.1109/igarss46834.2022.9883198