Alpine mountainous and cryosphere are key elements for the future and its environment will be subject to strong modifications and more frequent hazards, hence monitoring it will be fundamental. Their complex systems need different and integrated techniques, different arising problems such as the difficulty in accessing with the classical methods and the large areas to cover. Remote sensing tools will be increasingly important in environmental monitoring and the prevention of climate change risks, especially in the next future. The use of visible images is what we usually use applied to the alpine cryosphere, but the cloud coverage and the necessity to monitor the movements led to the use of active sensors. Synthetic Aperture Radar (SAR) technology has been increasingly utilized for glacier monitoring due to its ability to penetrate clouds and operate in all weather conditions, providing high-resolution images of the Earth’s surface. Hence, the multifrequency SAR data can be used going towards monitor the snow parameters (e.g. snow liquid water content) thanks to the response of soil and snow to the microwave response. Moreover, the Interferometric Synthetic Aperture Radar (InSAR) allow the measurement of the displacement of surface deformation with millimetric precision so it can be used for risk prevention in mountainous areas, detect crevasses under snow bridge and glacier dynamics. Therefore, the deformation detected from the SAR can be useful for monitoring landslides and subsidence and other geological hazards. An integrated approach in Earth Observation (EO) between passive and active sensors for environmental monitoring especially to deal with the climate change hazards. Combining satellite and ground observations together with physical based and data driven models, to monitor the environment developing a new approach, and focusing on mountainous areas analyzing the dynamics of the processes are the goal of my PhD project.