“The ESA fellowship was a wonderful opportunity to conduct “Earth Observation (EO) Science for society”, thanks to the invaluable constellation of ESA satellites, while gaining experience in my career as a young researcher…” After completing the Living Planet Fellowship, Alexis Hrysiewicz continued as a researcher and Temporary Lecturer in SAR Remote sensing at the University …
The project brings together the EO water cycle community developing novel high-resolution EO data products, and the land surface and hydrological modelling community engaged in advancing hyper-resolution modelling of the hydrological cycle at regional and continental scales to assess the uncertainty of existing EO and LSM/HM data sets related to key terrestrial ECVs and generate …
Living Planet Fellowship research project carried out by Alexis Hrysiewicz. The “Raised Peatland Ecohydrology Evaluation through Sentinel-1 InSAR data and Machine Learning” (RaiPEAT_InSAR) project will investigate linkages between ecohydrological parameters of raised peatlands and InSAR estimates to classify of ecohydrological dynamics of peatlands. The main objectives are as follows: Ground validation of InSAR-derived surface motions of temperate …
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 …
4DMED-Hydrology aims at developing an advanced, high-resolution, and consistent reconstruction of the Mediterranean terrestrial water cycle by using the latest developments of Earth Observation (EO) data as those derived from the ESA-Copernicus missions. In particular, by exploiting previous ESA initiatives, 4DMED-Hydrology intends: to demonstrate how this EO capacity can help to describe the interactions between …
The third F2F course of he EO AFRICA R&D Facility will take place in Rabat in close cooperation with CRASTE-LF (African Regional Centre for Space Science and Technology in French Language). Deadline for applications: 30th May 2022 This course introduces participants to Cloud Computing and its usage for Earth Observation (EO) data analyses. It starts …
The second face to face (F2F) course of the EO AFRICA R&D Facility will take place in Accra, Ghana, immediately after the United Nations/Ghana 5th International Conference on the Use of Space Technologies for Water Resources Management. Deadline for applications: April 25th, 2022 In this course, participants will get an introduction to cloud-based image analysis techniques …
3rd EO AFRICA R&D Facility Online Course Deadline for applications: April 1, 2022 Introduction to the course: Satellite Earth observation, hydro-meteorological modelling and data assimilation provide a powerful combination for quantifying hydroclimatic variables to effectively address water management issues in this online course, an introduction will be given to the theory and techniques to observe the …
Developed in the context of the EO Africa project, this series of webinars covers a variety of topics related to the use of Earth Observation (EO) for topics related to water and food security. The recorded webinars, which consist of theoretical background, applications examples and Q&A session, are available here below. Access specific videos (click …
Developed in the context of the EO Africa project, this free MOOC provides an introduction to the topic of droughts and details how they can be quantified, assessed and monitored from space. The contents include the role of cloud computing and the access to satellite data. No prior knowledge in Earth Observation (EO) is required. The …
