A research in the context of the Irrigation+ project follow-on activity DTE Hydrology analysed the potential for inferring rainfall measurements from satellite data at higher resolution than the current usual one (10km). In particular, it explored the application of the SM2RAIN (Soil Moisture to Rain) algorithm for rainfall estimation to a high resolution soil moisture …
The Rapid Action coronavirus Earth observation dashboard presents the results of the Joint cooperation between ESA and the European Commission on Covid 19 and EO. The platform demonstrates how the use of Earth observation data can help shed new light on societal and economic changes currently taking place owing to the coronavirus pandemic. Across all European countries and ESA Member States, the dashboard …
A Tri-Agency Dashboard by NASA, ESA, JAXA International collaboration among space agencies is central to the success of satellite Earth observations and data analysis. These partnerships foster more comprehensive measurements, robust datasets, and cost-effective missions. The tri-agency COVID-19 Dashboard is a concerted effort between the European Space Agency (ESA), Japan Aerospace Exploration Agency (JAXA), …
AI4DROUGHT is part of the AI4SCIENCE activity. The first AI4SCIENCE ITT was launched in 2021 and had a focus on Extreme Events, Multi-Hazards and Compound Events, and contributes to the ESA Extremes and Natural Disasters Science Cluster. The AI4SCIENCE ITT had 2 main objectives: Advancing Earth System Science: advancing our capacity to combine EO and …
DEEP EXTREMES is part of the AI4SCIENCE activity. The first AI4SCIENCE ITT was launched in 2021 and had a focus on Extreme Events, Multi-Hazards and Compound Events, and contributes to the ESA Extremes and Natural Disasters Science Cluster. The AI4SCIENCE ITT had 2 main objectives: Advancing Earth System Science: advancing our capacity to combine EO and AI to …
extrAIM (AI-enhanced uncertainty quantification of satellite-derived hydroclimatic extremes) is part of the AI4SCIENCE activity. The first AI4SCIENCE ITT was launched in 2021 and had a focus on Extreme Events, Multi-Hazards and Compound Events, and contributes to the ESA Extremes and Natural Disasters Science Cluster. The AI4SCIENCE ITT had 2 main objectives: Advancing Earth System Science: advancing our capacity to combine EO …
How is Gross Primary Production (GPP) affected by extreme climate events? Find it out in this video, and read more in the story and paper.
Fully Focused (FF) SAR Coastal [FFSAR-Coastal] is a project funded by ESA to apply the Fully Focused SAR altimetry processor on Sentinel-3 data and evaluate its potential to make a significant new contribution to coastal and estuarine monitoring systems, when coupled with innovative water level gauges for validation. Two different environments have been considered: The …
Pollutant and greenhouse gas emission inventories provide essential information for policy makers, governments and subsidiary bodies to evaluate progress towards emission abatement measures, and decide on future strategies. Inventories use different methodologies between countries, and have large uncertainties related to both activity data and emission factors. The use of satellite data, notably the imagery of …
The proposed IMITATE project aims to address the following questions: How well can machine learning methods emulate physical process-based land surface models, focused over Europe? Can explainable AI techniques provide new insights into process understanding when combining land surface models and Earth Observation data Are the learnt relationships between the modeled inputs and outputs consistent …
