2023-10-06, 13:45–14:30, EURAC Seminar room 2 & 3
The presenters will demonstrate how to use available future projections of climatic data across different climate change scenarios to forecast how Earth's surface will look in the future. The presentation will be equally balanced between theory and practice: the theoretical part will provide an overview of the <u>Coupled Model Intercomparison Project</u>, focusing on the models produced for IPCC AR5, and of spatiotemporal modeling of vegetation. The practical part will explain how to combine Earth Observation data and machine learning to produce maps of the <u>major biomes</u> for the future and how their distribution is expected to change according to the different climate change scenarios.
OEMC Grant agreement ID: 101059548
Carmelo has a MSc in forest systems sciences and technologies, with a specialization in forest resources monitoring and management through geospatial data science applications and time series analysis.
Carmelo is a PhD Candidate at Wageningen University and Research (WUR) in the Laboratory of Geo-information Science and Remote Sensing and works as a Research assistant at the OpenGeoHub Foundation