AI4DTEclimate project proposes contributions to five initial complementary challenges through five specific subprojects
The implementation of a specific hybrid AI paradigm for EO, Time Series in fusion with complementary, heterogeneous data or observations that will hierarchically structure the information sources will offer an enhanced perspective of the biophysical variables derived for Earth monitoring. Historical monitoring of these variables paves the way for prediction, hence raising great perspectives to submit proposals in the frame of the 2nd Pillar- Natural Resources, Agriculture and Environment.
The System of Systems Approach applied to the eutrophication of sweet-water lakes and Black Sea West coast waters serves as a reference model for addressing all aspects of Climate Change Adaptation in Romania and the EU. Understanding the means to reverse the eutrophication processes in the context of Climate Change adaptation and development of innovative solutions for de-eutrophication of sweet-water lakes and coastal provides added value and means to contribute tu Health Ocean, seas, costal an inland water EU mission proposals.
Increase the existing expertise on analyzing the state of ecosystems (habitats and species subcomponents) and to maintain the capacity to provide services under climate change pressures, analyzed through indicators derived from EO data and validated with in-situ data. Natural capital bioproductive capacity to support the bioindustry and bioeconomy for mitigation of climate change and to increase sustainability of local businesses. Produce adaptation knowledge as requested for actions aiming to protect biodiversity and ecosystems functioning and service delivery.
The coupled atmosphere-hydrosphere-lithosphere data monitoring service to be developed will provide for the first time an integrated view of how climate-change-stimulated phenomena can impact ground structure and motion properties in seismically vulnerable locations.
To understand, anticipate and fight vector-borne emerging animal and zoonotic infectious diseases, it is necessary to develop an integrated One-Health approach considering the links between human health, animal health, and environmental health. This notably involves setting up a surveillance system combining human and animal surveillance (detection of human/animal cases and animal virus reservoirs), entomological surveillance (identification of vectors and the associated vector risk) and environmental monitoring).