The main objective of the RepreSent project is to capitalize on the potential of artificial intelligence (AI) and Earth observation (EO) by exploiting the non-supervised learning paradigms. In this context, it is essential to come up with non-supervised learning-based solutions for impactful use cases that use unlabeled EO data. The project started on April 1st, …
AI4SAR is an attempt to harness AI techniques for high-resolution, high-fidelity SAR data, both in time and spatially. It aims to process rapid-revisit SAR data and develop modular applications for high-frequency monitoring of Earth. The inherent complexity of the backscattered SAR signal presents a daunting challenge to data scientists and machine learning (ML) engineers, thereby increasing …
RAMONA aims for developing an innovative monitoring system for rangeland ecosystems in Africa at the continental scale and at 10m resolution. It will exploit the full data record provided by the Sentinels (primarily Sentinel-1 SAR, Sentinel-2 multi-spectral supported with Sentinel-3 multi-spectral), taking advantage of the synergies offered by SAR and multi-spectral observations. The activity will …
Maritime Domain Awareness (MDA) is defined by the International Maritime Organization (IMO) as the effective understanding of anything associated with the maritime domain that could affect the security, safety, economy, or environment. In the context of MDA activities, the complete understanding of the current maritime picture, as well as a deep knowledge of the maritime …
The objective of ROAD-DL service is to provide road condition assessment based on remote sensing data. The service aims to provide up to date classification of specific features related with road condition that could trigger inspection or maintenance actions. Specifically, the service ingest Synthetic Aperture Radar (SAR) Sentinel-1 satellite images, provided by ESA through the …
This PolInSAR course is an online, hands-on course that aims to develop an understanding of the information content of multi-parameter SAR data in an interactive way, without assuming any prior/background knowledge – though some knowledge in Python programming is welcome. It is organised around 10 sessions over 10 weeks, with lectures and tutorials ranging from …
Living Planet Fellowship research project carried out by Romy Schlögel. Within this project we intend to analyse ground deformation hazards induced by meteorological changes and seismotectonic conditions in eastern Belgium, western Germany and the south-eastern Netherlands. Thus, its outcomes should also be of interest for the ongoing Interreg project Einstein Telescope EMR Site & Technology (E-TEST). Focus …
Living Planet Fellowship research project carried out by Penelope How. Sea level is predicted to rise drastically by 2100, with significant contribution from the melting of the Greenland Ice Sheet. In these predictions, melt runoff is assumed to contribute directly to sea level change, with little consideration for meltwater storage at the terrestrial margin of …
PROJECT GOALS The dense spatial and temporal coverage of the Amazon basin with Sentinel-1 Synthetic Aperture Radar scenes has opened vast potential for capturing the complexity in tropical forest loss and regrowth. Sentinel-1 for Science Amazonas aims to: Develop, test and validate an operational-level Multi-temporal forest Change Detection (MCD) algorithm, Estimate carbon loss and gain …
Pronounced climatic changes have been observed at the Antarctic Peninsula within the past decades and its glaciers and ice caps have been identified as a significant contributor to global sea level rise. Dynamic thinning and speed-up was reported for various tidewater glaciers on the western Antarctic Peninsula. On the east coast, several ice shelves disintegrated …
