Copernicus Access Platform Intermediate Layers Small Scale Demonstrator

CANDELA is demonstrating the breadth of project capabilities with a real-life small demonstrator, combining several data sources, combining advanced predictive analytics, linking a full processing chain and producing commercial products for forestry management and macro-economics insights extraction.

Our project is clearly focused on bridging the gap between the great wealth of European Earth Observation expertise and the big data domain which present specific, exciting and new challenges for the Copernicus community.

Main Objectives

Earth Observation data mining for classification and change detection

Deep Learning for Change Detection on time series for optical and radar Earth observation data

Semantic search and indexation on the output of the Earth observation library and non-image data

Data fusion techniques to merge preprocessed data that came from various sources

Reference Scenarios

We will design, implement and validate algorithms related to crop health and yield assessment at national level, urban development at regional level, harbour traffic and retail traffic patterns in car parking lots at local level. CANDELA will also probe the value of remote sensing data collection for the monitoring of forest health conditions.

Forest Health Monitoring

Monitoring of forest health conditions

Parking lots

Automatic counting of cars on manufacturers parking lots

Urban development

Estimation of cities urban area extension over a predefined time window

Harbour traffic

Automatic detection of ships in a predefined port area

Agricultural lands evolution

Detection of arable lands and crops - yield assessment

About Us

CANDELA team is a well-balanced consortium, consisting of seven partners from five European countries, and with strong participation from the industry as encouraged by the Call, being half of the partners well positioned SME’s.