On October 23, Gianmarco Perantoni has succesfully defended his PhD Thesis on “Robust Deep Learning Methodologies for Weakly Supervised Remote Sensing Image Classification“.…
On June 18, Jing Zhang has succesfully defended her PhD Thesis on “Semantic Change Detection in Multitemporal Remote Sensing Images Using Deep Neural Networks”..…
The HRLC CCI studies and investigates the role of the spatial resolution of land cover and land cover change in supporting climate modelling research at regional scale in key climatic areas in Africa, South America and Siberia. During Phase 1 of the programme, the…
Time serie of high resolution land-cover maps are crucial for assessing changes in the land-cover patterns that either can affect or be induced by climate change. RSLab has the leadership of the
The RSLab activities and projects related to remote sensing for forest monitoring have been the focus of a TV report on the national RAI 3 TG Leonardo and on the RAI TGR . The report addresses the activities developed by using LiDAR sensors and…
A second campaign of data acquisition on the Marmolada glacier with a ground penetrating radar mounted on an helicopter was conducted on Friday August 25th by RSLab in cooperation with the Civil Protection of the Provincia Autonoma di Trento in one of the hottest day…
RSLab is conducting a series of tests on the Marmolada glacier with a ground penetrating radar (GPR) mounted on an helicopter to study the feasibility to estimate the properties of ice as well as the possible presence of water in the subsurface.…