The Gardiola in situ ground deformation time series include deformation data from the topographic monitoring network, installed on the Gardiola landslide. In particular, provide the differential displacement (in cm), of planimetric and altimetric displacement, for each prism of the network. The archive provide time series of twenty-three optical target, for an observed period from March 2004 to April 2009. The time series present a very high temporal sampling (hourly), and provide the differential displacement for the planimetric (Δxy) and altimetric (Δz) displacement (in cm). All the spikes interpreted as noise were been delete to the time series.

The Grange Orgiera in situ ground deformation time series include deformation data from the topographic monitoring network, installed on the Grange Orgiera landslide. In particular, provide the differential displacement (in cm), of planimetric and altimetric displacement, for each prism of the network. The monitoring network includes eight prism inside (1, 2, 3, 4, 5, 7, 8, 20) the landslide and five within (6, 16, 17, 18, 19), located in correspondence of the left frontal lobe of the Grange Orgiera landslide. The archive provide two distinct time period: - August 2009 – October 2009, for the prisms from 1 to 8; - July 2010 – September 2010, for all the prisms. The time series present a very high temporal sampling (hourly), and provide the differential displacement for the planimetric (Δxy) and altimetric (Δz) displacement (in cm). All the spikes interpreted as noise were been delete to the time series.

There is a systematic lack of information on the effects of the climate and environmental changes on the frequency and the intensity of landslides and their triggering phenomena. The problem is particularly severe in mountain areas, where natural and human-driven climatic and environmental changes may alter significantly the frequency and the intensity of the slope processes, with largely unknown short and long-term effects on the landscapes and the environment. HAMMER project intends to cope with this topic by collecting accurate and long term time series of ground surface and sub-surface deformation, and analyzing eventual changes of the deformation trend associated with meteorological and climatic variables over time. The project HAMMER will focus mainly on the following study areas: Italian Western Alps, Apennines, Pyrenees, and Atacama desert, Andes.