CANDELA: A CLOUD PLATFORM FOR COPERNICUS EARTH OBSERVATION DATA ANALYTICS

被引:4
作者
Rolland, Jean-Francois [1 ]
Castel, Fabien
Haugommard, Anne
Aubrun, Michelle
Yao, Wei
Dumitru, Corneliu Octavian
Datcu, Mihai
Bylicki, Michal
Tran, Ba-Huy
Aussenac-Gillles, Nathalie
Comparot, Catherine
Trojahn, Cassia
机构
[1] Univ Toulouse, German Aerosp Ctr DLR, Thales Alenia Space, IRIT,AtoS,CloudFerro, Toulouse, France
来源
IGARSS 2020 - 2020 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM | 2020年
基金
欧盟地平线“2020”;
关键词
Copernicus; cloud computing; big data; platform-as-a-Service; Earth observation; machine learning; semantic data; data analytics;
D O I
10.1109/IGARSS39084.2020.9323966
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This article presents the achievements of the Candela project. This project aims to develop a platform and new algorithms for the handling, analysis and interpretation of earth observation data. The platform is hosted on the CREODIAS cloud ensuring the proximity of data and its processing. To ensure good performances the platform can scale up or down its computing resources. New algorithms based on machine learning methods for change detection and classification have been developed in the project. The results of these new algorithms are transformed into semantic data used to enrich earth observation products and provide new ways of exploitation. Finally, an end-to-end use of the platform is presented with a use case study of the impact of intense meteorological events on vineyards.
引用
收藏
页码:3104 / 3107
页数:4
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