Twenty years after ESA’s 2003 workshop on Coastal and Marine applications of SAR (ESA SP-565), the SeaSAR workshop is returning to Svalbard from 2-6 May 2023. The format of the workshop will be similar to the 2003 workshop and will be organized around keynote presentations and thematic discussions. The following targeting themes will be addressed: …
The SEA-SPARK project aims to design, implement and experimentally evaluate deep learning based advanced algorithms for high-resolution Synthetic Aperture Radar (SAR) satellite imagery to detect and classify maritime vessels ranging from small transport and commercial vessels to large tankers and military ships. SpaceKnow will contribute to the state-of-the-art by improving performance and creating a robust …
The project is a follow up of the ESA funded OSIRIS project, aimed at developing a series of modules for maritime surveillance into a prototype deployed on a shared processing system with a tested full chain for Sentinel 1 and 2 data. The team performed a survey on most commonly used spaceborne sensors for thermal …
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 SAR image formation up …
The webinar will describe ways to monitor flood events and surface soil moisture on a global scale, using microwave Earth Observation data. The webinar will be executed under the framework of the EO AFRICA R&D Facility by TU Wien.
This activity is the continuation of an previously-completed ESA project (“PASTA: Phenomena-Aware Spatial and TemporAl Clustering”). The overall objective is to develop a software tool providing higher-level solutions for automated interferometric data analysis and interpretation, geared mainly to key Hungarian users. The precursor project had successfully performed the user consultations and defined a number of …
Intertidal zones form an interface between land and sea. They are important features of the coastal landscape providing a multitude of ecosystem services and forming a critical habitat for a wide range of species. Satellite Earth Observation (EO) unlocks new capabilities for monitoring intertidal zones, which are under significant pressure from multiple sources including coastal …
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 11 sessions over 11 weeks, with lectures and tutorials ranging from SAR image formation up …
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 …
