Learning AI is one of the fastest growing technology fields. Organisations are already starting to implement modifications to their business models due to AI and Machine Learning being widely adopted as a helpful tool to build solutions for resilient and sustainable societies that can adapt to the effects of climate change. Learning AI has thus …
The aim of the activity is to apply super-resolution reconstruction multispectral Sentinel-2 images, using multiple images of the same region, captured at different points in time (MISR, multiple-image super-resolution). This is achieved by adapting recent deep neural networks that were recently proposed for dealing with MISR, to the particularities of Sentinel-2 data. In particular the …
The MRV4C project, developing a Monitoring, Measurement, Reporting and Verification (MRV) System for cocoa agroforestry in the Dominican Republic (DR) was a 1-year activity funded by the European Space Agency through the Open Call funding opportunity, addressing activity line 6, “EO for Sustainable Development”, of the ESA EO SCIENCE FOR SOCIETY programme. The aim of …
How does taking into account vertical variability of Soil Moisture impact on predicting vegetation productivity? Does this impact depend on climatic areas and vegetation types? These are the main questions addressed by a recently published paper, outcome of Living Planet Fellow Sophia Walther research. The study demonstrates how, at the global scale, semi-arid areas and …
Matthew has been at Leeds since 2014 and was initially a PhD candidate, before completing his studies and becoming a postdoc in 2019. Since July 2020, he has been a European Space Agency Living Planet Fellow, and is part funded by the Centre for the Observation and Modelling of Earthquakes, Volcanoes and Tectonics (COMET) and …
Living Planet Fellowship research project carried out by Matthew Gaddes. The Earth’s subaerial volcanoes pose a variety of threats to humanity, yet the vast majority remain unmonitored. However, with the advent of the latest synthetic aperture radar (SAR) satellites, interferometric SAR (InSAR) has evolved into a tool that can be used to monitor the majority …
After the first two monthly challenges – challenge #1 on how the pandemic affected the logistics/supply chain and related air and water quality, and challenge #2 on combining socio-economic indicators into a single impact metric – new flexibility will be added for the upcoming opportunities. Note down in your calendar the next window for submission …
ESA’s Sentinels for Evapotranspiration project, or Sen-ET for short, is exploiting machine learning techniques to combine Sentinel-2 and Sentinel-3 data for a 20m daily evapotranspiration monitoring in agricultural fields. Read the full story.
