Fostering Earth Observation market uptake thanks to natural and holistic access to added value data generated through cutting-edge Artificial Intelligence technologies

Informations projet

SnapEarth

N° de convention de subvention: 870373

DOI 10.3030/870373

Projet clôturé

Date de signature de la CE 8 Novembre 2019

Date de début 1 Decembre 2019

Date de fin 30 Novembre 2022

Financé au titre de

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

Coût total € 2 672 101,79

Contribution de l’UE € 1 995 031,26

Coordonné par

ETHNIKO KENTRO EREVNAS KAI TECHNOLOGIKIS ANAPTYXIS
Greece

Livrables

Other (9)

EarthSignature Software V3

An update of D3.5 in order to evaluate EarthSignature after its use during the pilots

EarthSelf-Service Portal V1
EarthSignature Software V1
SafeScale Software V2
EarthSignature Software V2
SafeScale Software V1
EarthSearch Service V2
EarthSelf-Service Portal V2
EarthSearch Service V1

Websites, patent fillings, videos etc. (1)

SnapEarth Website

Documents, reports (1)

SUG Organisation Plan

Open Research Data Pilot (1)

Oxfam use case service

lThe Oxfam use case service would consist in a water availability index to be computed based on soil status from Earth Observation and model data For the computation of water availability longtime series of Soil Moisture from ESAs CCI and Copernicus Land Services will be used to establish climatology over West Africa

Publications

Other (3)

Cross Nomenclature Evaluation of Land Cover Segmentation Models

Auteurs: Samet Cetin; Ramazan Gokberk Cinbis
Publié dans: 2023
Éditeur: zenodo
DOI: 10.5281/zenodo.7603491

An AI-based platform for disastrous event monitoring and reporting with the use of social media & EO data

Auteurs: Alexandros Zamichos; Maria Tsourma; Spyros Fontalis; Armando Domi; Georgios - Fotios Angelis; Alexandros Kontos; Eleftherios Katsikis; Afroditi Kita; Rizos-Theodoros Chadoulis; Anastasios Drosou; Ioannis Manakos; Dimitrios Tzovaras
Publié dans: 2023
Éditeur: zenodo
DOI: 10.5281/zenodo.7600368

AI AND EO-READY CLOUD AGNOSTIC AND HIGHLY SCALABLE ENVIRONMENTS FOR SERVICE DEVELOPMENT AND EXPLOITATION

Auteurs: Yasmine Boulfani; Cosmin UDROIU; Vincent PLANCHENAULT; Vincent GAUDISSART
Publié dans: 2023
Éditeur: zenodo
DOI: 10.5281/zenodo.7602160

Conference proceedings (3)

A Comparative Study of Deep Learning Methods for the Detection and Classification of Natural Disasters from social media

Auteurs: Spyros Fontalis, Alexandros Zamihos, Maria Tsourma, Anastasis Drosou and Dimitrios Tzovaras
Publié dans: 2023
Éditeur: Springer

A Comparative study on Vision Transformers in Remote Sensing Building Extraction

Auteurs: Georgios - Fotios Angelis, Armando Domi, Alexandros Zamichos, Maria Tsourma, Ioannis Manakos, Anastasios Drosou, and Dimitrios Tzovaras
Publié dans: 2023
Éditeur: Science and Technology Publications, Lda, Springer

On The Exploration of Vision Transformers In Remote Sensing Building Extraction

Auteurs: G. - F. Angelis, A. Domi, A. Zamichos, M. Tsourma, A. Drosou, I. Manakos and D. Tzovaras
Publié dans: 2022
Éditeur: IEEE
DOI: 10.1109/ism55400.2022.00046

Peer reviewed articles (2)

An AI-Enabled Framework for Real-Time Generation of News Articles Based on Big EO Data for Disaster Reporting

Auteurs: Maria Tsourma; Alexandros Zamichos; Efthymios Efthymiadis; Anastasios Drosou; Dimitrios Tzovaras
Publié dans: Theory and Applications of Web 3.0 in the Media Sector, Numéro 1, 2021, ISSN 1999-5903
Éditeur: MDPI
DOI: 10.3390/fi13060161

An Unsupervised burned area mapping approach using Sentinel-2 images

Auteurs: Michail Sismanis; Rizos-Theodoros Chadoulis; Ioannis Manakos; Anastasios Drosou
Publié dans: Land, 2023, ISSN 1545-598X
Éditeur: Institute of Electrical and Electronics Engineers
DOI: 10.3390/land12020379