The remote sensing and data processing expertise at DISI, University of Trento, Italy, is related to the Remote Sensing Laboratory (RSLab) led by prof. Lorenzo Bruzzone. The RSLab has a long experience in the development of automatic and semi-automatic methods and algorithms for information extraction from remote sensing images acquired by both passive (multispectral, hyperspectral) and active (SAR for imaging, sounder, LiDAR). The RSLab collaborated in several European projects, having a solid background and a huge experience in the definition, development, and implementation of techniques for estimation, classification, and data fusion with different kinds of remote sensing data.  In this framework, the members of the laboratory developed many advanced techniques based on machine learning that are the state-of-the-art for data analysis in remote sensing. The team has also maturated experience in different projects related to the cryosphere.  RSLab has been involved in more than 40 national/international projects related to the analysis of remote sensing data. These projects have been funded by the European Space Agency, the European Commission, the Italian Space Agency, and several other public and private bodies. The RSLab visibility at national/international level is also documented by the high number of international awards and honors received by its members in the field of remote sensing and signal processing, by the high number of publications in the most prestigious international journals, and by the high number of citations received.