Abstract
Landslides in alpine environment are present as earthflows, rock falls, shallow slides, debris
flows, among others. The dynamics of the surface deformations have many causes, among them the
inner geomorphological processes, extreme weather events or human activities that aggravate or
accelerate it.
In this work, we combine diverse technologies (sensors) at different spatial and temporal scales
(platforms) to better understand the complexity of the gravitational mass movement located in
Corvara in Badia, Italian Dolomites. The setup consist of: (i) a monthly surveying GNSS for tracking
artificial corner reflectors (reflecting objects) used in three different scales for determining velocity
vectors: in situ, proximal and remote sensing. (ii) two in situ stations equipped with a DSLR camera
with an automatic time-lapse program based on a low-cost solution system acquiring two daily
images covering active part of the landslide for tracking objects and conducting photogrammetry
analysis, (iii) an UAV platform with compact cameras flying yearly on the active landslide (8 ha.) for
proximal sensing scale retrieving DEM, orthomosaics and cloud points determining 6-axis movement
in objects and (iv) Sentinel-1 imagery processed by Synthetic Aperture Interferometry (InSAR) as
remote sensing application combined to the previous ones. The benefits and drawbacks of every
approach will be presented.Landslides in alpine environment are present as earthflows, rock falls, shallow slides, debris
flows, among others. The dynamics of the surface deformations have many causes, among them the
inner geomorphological processes, extreme weather events or human activities that aggravate or
accelerate it.
In this work, we combine diverse technologies (sensors) at different spatial and temporal scales
(platforms) to better understand the complexity of the gravitational mass movement located in
Corvara in Badia, Italian Dolomites. The setup consist of: (i) a monthly surveying GNSS for tracking
artificial corner reflectors (reflecting objects) used in three different scales for determining velocity
vectors: in situ, proximal and remote sensing. (ii) two in situ stations equipped with a DSLR camera
with an automatic time-lapse program based on a low-cost solution system acquiring two daily
images covering active part of the landslide for tracking objects and conducting photogrammetry
analysis, (iii) an UAV platform with compact cameras flying yearly on the active landslide (8 ha.) for
proximal sensing scale retrieving DEM, orthomosaics and cloud points determining 6-axis movement
in objects and (iv) Sentinel-1 imagery processed by Synthetic Aperture Interferometry (InSAR) as
remote sensing application combined to the previous ones. The benefits and drawbacks of every
approach will be presented.