Remotely sensed data can provide the basis for timely and efficient building damage maps
that are of fundamental importance to support the response activities following disaster …

This paper addresses the problem of training a deep neural network for satellite image
segmentation so that it can be deployed over images whose statistics differ from those used …

A cloud screening unit on a satellite platform for Earth observation can play an important role
in optimizing communication resources by selecting images with interesting content while …

Currently, there is a limited number of tools that can be used to assess progressive damage
of buildings in large-scale study areas. The effectiveness of such tools is also constrained by …

In Sahelian Africa, rural centers have been hit by catastrophic floods for many years. In order
to prevent the impact of flooding, the flood-prone areas and the settlement dynamics within …

Historical landscapes in Italy have been changing slowly over the centuries since their
features, once fixed in certain shapes, were perpetuated until new economic and social …