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 …
The 5th F2F course of the EO AFRICA R&D Facility will take place in Nairobi, Kenya in close collaboration with the Regional Centre for Mapping of Resources or Development (RCMRD). In this course, participants will get an introduction to cloud-based image analysis techniques for Water and Food Security. The training includes face-to-face lecturing and reading …
The 4th F2F course of the EO AFRICA R&D Facility will take place in Kigali, Rwanda in close collaboration with the African Association of Remote Sensing of the Environment (AARSE) 2022. The course will provide participants with the necessary theoretical and practical knowledge for getting started on monitoring agroecosystems (croplands + rangelands) with satellite EO …
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 …
EO data allows us to gather massive global information about our planet Earth’s physical, chemical and biological systems via satellites carrying remote sensing devices. When large amounts of data are concerned, such as those captured by remote sensing devices on satellites used in EO, our computers and AI algorithms can be used to help us …
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 …
The project will develop an EO-service for Hyper-resolution crop yield estimates and extreme events crops shocks monitoring by integrating multiple SATellite data and modeling, able to support farmers precision agriculture.This will be based on a dynamic calibration/validation system which takes advantage of the high spatial resolution (5-8m) of combined harvesters’ crop yield information. The system …
Within “ARIES” experimental EO analysis techniques will be developed and validated, addressing water resources management and food security matters. Those techniques,algorithms and prototype solutions will leverage a new generation of upcoming operational EO data: thermal and hyperspectral. In addition to established EO resources, especially Copernicus driven Sentinel-2 and Sentinel-3, the intended ECOSTRESS and PRISMA data …
The purpose of the series of Trans-Atlantic Training (TAT) courses is to disseminate and discuss research methods and technologies from space. The event was organised jointly by ESA, NASA and the Charles University of Prague, in close cooperation with the Regional Information Network for Southern, Central and Eastern Europe (SCERIN). This training was the ninth …
This webinar introduces participants with the necessary theoretical and practical knowledge to map agro-ecological systems at region to country levels (benchmark mapping) for subsequent monitoring using ‘future’ EO-derived imagery. ‘Past’ hyper-temporal (HT) time-space NDVI-based data-cubes will be studied to create an agro-environmental stratification that relates to land features like terrain, climate, land cover (green vegetation) …
