OptiMed-Water “Forstering sustainable water management for the economic growth and sustainability of the Mediterranean region”

Position Type: 
Organization Type: 
University/Academia/Research/Think tank
Experience Level: 
Not Specified


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The aim of the project is to optimize the management of water resources for cultivated land in semi-arid areas through the spatial and temporal analysis of remote sensing data and climate change scenarios.
The role of the research fellow is to collect and process SAR and multi / hyperspectral soil and vegetation data with satellite sensors on the test areas of North Africa. Implementation of algorithms, on machine-learning techniques and in particular on neural networks for the estimation of soil and vegetation parameters from satellite data.