In Q4 2022, ESA organised an open Information Day to address Civil Society Organisations (CSOs)/ Non-Governmental Organizations (NGOs) with presentations on the potential of EO in support to ecosystems restoration and conservation. The event was attended by around 60 CSOs/NGOs. The Consultation was complemented with a questionnaire circulated to participants and interested stakeholders to capture …
Course materials from the 11th Advanced Training Course on Land Remote Sensing with the focus on Agriculture and Water Day 1 – Monday 21 November 2022 Course introduction Earth Observation in Hungary ESA Science for Society Programme – Agriculture & Hydrology ESA Science for Society Programme – Application section Mission Status Sentinel-1 Sentinel-2 ROSE-L CHIME FLEX …
The first parts of this Massive Open Online Course (MOOC) are out now! Further modules will be sequentially released until the end of 2023. The MOOC is developed by the Friedrich Schiller University Jena and Ruhr University Bochum with a community of stakeholders including ESA. It will give you insights on the potential of remote …
The project created a service platform providing reliable information on changes in built-up areas, derived from Sentinel-2 data in a fully automatic manner using image classification algorithms. These algorithms, selected for the tool, are successfully operated and validated in other Land Cover mapping activities conducted by the consortium partners. Results of the image classification contributed …
Background The European Space Agency (ESA) is organising an Advanced Training Course on Land Remote Sensing with the focus on Agriculture and Water in collaboration with the Institute of Advanced Studies Kőszeg (iASK). This course is dedicated to training the next generation of Earth Observation (EO) scientists and experts working in Agriculture and Water domain to exploit data …
An unprecedented richness of data is captured by satellites every day, resulting in an ever-growing time series of EO data. Despite the extensive availability of data, there are still many challenges when defining procedures for extracting relevant information from long time series. The goal of the AI4FOOD project is to tackle the challenges that arise …
One year ago, on 20 October 2021, the new baseline global land cover product at 10 m resolution, exploiting Sentinel-1 and Sentinel-2 data, showing 11 land cover classes with unprecedented detail, was launched. Last 28 October 2022, 9 months from the last data take, the global product with data from year 2021 was released. Read …
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, …
In the framework of the overall collaborative efforts with Africa, carried out with the strong involvement of the African Union Commission (AUC), for the first time in the ESRIN activities, two African Researchers have joined ESRIN in 2022: Dr. Wassim M. Baba and Dr Gladys Mosomtai. Wassim a post-doctoral researcher at the University Mohammed VI …
This post contains educational materials from the event Trans-Atlantic Training 2022 (TAT-9): A Changing Eastern Europe: New Challenges for Science and Capacity Building in Land Remote Sensing held in Prague, Czech Republic, from 05-09 September 2022. Access specific videos (click on ), presentation slides (click on ), and exercise data (click on ) from the …
