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 address a major …
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 …
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 …
Satellites provide crucial, and increasingly important, information to help understand our changing climate. However, better understanding Earth observation data can be a daunting task for new users. A new online course, developed by the University of Twente, on behalf of ESA, helps students, researchers and other professionals analyse satellite data to help measure and mitigate …
Increasing pressure due to anthropogenic drivers is leading to a reduction of global biodiversity and its associated benefits at the planetary scale. In open ocean (seafloor depth greater than 200 m) the most important direct drivers of biodiversity loss is fishing and extraction of seafood, with a lesser but rapidly increasing importance of climate change, …
Increasing pressure on nature due to anthropogenic drivers is leading to a reduction of global biodiversity and its associated benefits at the planetary scale. In coastal environments, the most important direct drivers of biodiversity loss are fishing, land and sea use, climate change and pollution. These drivers have accelerated in the last 50 years, and …
The Dust-Ocean Modelling & Observing Study (DOMOS) will advance the understanding of dust and ocean interactions in a changing climate through an innovative use of model and observations. The project will develop a new retrieval of dust deposition from satellite lidar data (CALIPSO and Aeolus), will validate the dust deposition field from the CAMS reanalysis …
