This project is a proposal extension of the ESA STREAM project (SaTellite based Runoff Evaluation And Mapping, Contract Number 4000126745/19/I-NB) and it is addressed to investigate the possibility to extend at global scale the estimation of runoff and river discharge by using satellite observations. In particular the project will explore the feasibility to: provide long-term …
The Gravity Recovery And Climate Experiment (GRACE) mission has been instrumental in our understanding of the water cycle by measuring Total Water Storage Anomalies (TWSA). However, its coarse spatial and temporal resolutions have limited its applications in various scientific and socio-economic domains. A recent scientific paper, an outcome of the 4DMED-Hydrology project, demonstrates a new …
This activity is focused on the exploitation of Earth Observation data, in situ data and flood models with the aim of enhancing the use of EO data for flood prediction. It is motivated by the need to maximise the use of the above-mentioned data and tools for the UN Sustainable Development Goals number 6, Water, …
The project aims to develop, train, and apply a hybrid neural network model to optimise EO data for a coherent, balanced water cycle at the global scale resulting in a new pixel-resolution datasets for the four water cycle components: precipitation, evapotranspiration, change in water storage, and runoff (or river discharge). These data will cover the …
The EO AFRICA Research Facility has launched a revised version of the questionnaire about Africa Research gaps originally administered in 2021. The questionnaire aims to collect information from Africa-oriented EO specialists about the continent’s research challenges and gaps. Contribution of Africa-based researchers is highly welcome: please fill out the anonymous questionnaire (takes about 10-12 minutes) …
This webinar will demonstrate the use of the EO AFRICA Innovation Lab in conjunction with openEO / ILWISPy to access and process also data obtained from other cloud based data repositories. Jupyter Notebooks will be deployed to show how to access and process data from cloud based services. The webinar will be executed under the …
In the framework of the EO AFRICA initiative, from January 29 – February 23, 2024 an online course is being organised by the EO AFRICA R&D Facility. The course will review a variety of different publicly and freely available data sets and tools for surface water detection and modelling using a full 2D version of …
The pressure on water resources is steadily increasing due to population growth and increasing wealth for part of the population. Climate change adds to this pressure, e.g. through more frequent and intense heat waves and droughts, and also disturbs the water cycle through more frequent floods. In order to tackle such challenges we need to …
This post contains educational materials from the event 12th Advanced Training Course on Land Remote Sensing held in Wrocław, Poland, September 25-29, 2023. Access specific videos (click on ), presentation slides (click on ), and exercise data (click on ) from the sessions here below, or download all the theory slides, practical slides and datasets …
The F2F course of the EO AFRICA R&D Facility will take place in Cairo, Egypt in close collaboration with the National Authority for Remote Sensing & Space Sciences (NARSS). In this course, participants will get an introduction to cloud-based techniques for assessing vegetation dynamics with Earth Observation data. The training includes face-to-face lecturing and reading …
