Space4Sust research network is funding mobility primarily for young researchers of the network (PhD, PostDoc, young Scientists) in order to reinforce the dynamic that these young researchers will carry out in the decades to come. The network is an opportunity to compare RS approaches, test the genericity of machine-learning based approaches, radar, thermal or optical sensors to a large variety of environmental contexts.
Webinar, Short training session on geospatial libraries or softwares, Machine learning applied to environmental sciences and satellite data are also encouraged and proposed in the framework of Space4Sust (see our events) in partnership with other GDRI/IRN such as the IRN ARID (agriculture and groundwater in semi-arid areas), RHYMA (flood and droughts in arid areas) and SCaHyLab (satellite altimeters to monitor hydrology).
