In the framework of the ESA EO AFRICA initiative, the R&D Facility in collaboration with European Space Agency (ESA) and the African Union Commission (AUC), launched at the end of 2021 a call for research proposals to support African-European collaborative efforts to develop innovative, open-source EO algorithms and applications adapted to African solutions for African …
The agricultural commodities market is one of the most active, liquid and vibrant markets in the world thanks to its mix of participants, ranging from individuals to farmers, commercial firms, large corporate companies and government institutions, accessing it from anywhere in the world. Soybeans and soybean by-products are the most-traded agricultural commodities, comprising more than …
The main objective of SPATIAL is to provide a proof-of-concept (PoC) prototype for forecasting soybean futures contracts price moves using Artificial Intelligence models based on financial & macroeconomic features and Earth Observation products. SPATIAL is realizing two distinct Machine Learning (ML) models, one for soybean crop yield forecasting and one for prediction of soybeans futures …
A new processing chain is available on the Geo-hazards Exploitation Platform (GEP). Its core is the avalanche detection method demonstrated in an open call project led by Norce. Taking advantage of the geo-hazards community platform’s new capabilities, anyone can exploit the simple, intuitive user interface and process Sentinel-1 data to detect and monitor avalanches on …
Introduction and Objectives The European Space Agency, ESA, is organising the EO Info Days to introduce activities in FutureEO-1 Block 4 “EO Science for Society”, Global Development Assistance (GDA), and Climate Change Initiative Opportunities (CCI+) programmes. The main goals of these Info Days will be to present the upcoming opportunities for European entities to participate …
The objective of the SENTREE (Semi-supervised SENtinel-2 TREE Species Detection) project is to detect tree species in Norwegian production forests by developing deep learning models which will combine high resolution aerial imagery with Sentinel-2 data. A major challenge in utilizing deep learning for tree species detection is the limited amount of training labels and their …
Information on forest biomass and carbon is in high demand by forestry stakeholders. This project will develop remote sensing based user-centric approaches for forest carbon monitoring, helping to shift economies towards carbon neutral futures.We aim to develop and implement a prototype of a remote sensing based monitoring and accounting platform with consistent results on carbon …
The Black sea is located in the north-eastern part of the Mediterranean Sea. It is a semi-closed basin that communicates with the Planetary Ocean through the Bosporus and Dardanelles Straits. The water balance is highly imposed by the freshwater inputs from some of the biggest rivers in Europe in terms of solid and liquid discharge: …
The objective of the call is to provide a framework to rapidly respond to new innovative ideas. The scope of the call covers elements of Block 4 of Future EO-1 Segment 1. The particular focus for innovative activities under each element is as follows: Grand Science Challenges EO for a Resilient Society Artificial Intelligence for …
ESA’s Φ-week fourth edition took place last 11-15 October, focusing on the New Space economy and its associated innovations. Recordings of the sessions from this hybrid formula event (virtual for the public and in person for invited speakers) are now publicly available. Find here below direct links to recordings of a selection of EO science …
