Aeronautics, Space and Transport, Earth and Environment, Key Technologies

Multi-Satellite imaging for Space-based Landslide Occurrence and Warning Service

When a landslide occurs, it often comes as a complete surprise – despite the fact that, in most cases, slopes only gradually pick up speed after a long period of initial creep. This project aims to develop a method that detects even the tiniest of changes in the earth’s surface. Such a method would then provide the basis for early warning systems and for rapid emergency mapping if it ever comes to a landslide.

“We are working with satellite data for this,” says Prof. Dr. Mahdi Motagh of the Helmholtz-Centre Potsdam – GFZ German Research Centre for Geosciences. Satellite photos have long been used in practice, but there are many problems to this: if a region of concern is under a layer of cloud cover, it can take days or even weeks until cloud-free conditions allow the satellites to take useful photos of a  flood or landslide event, for example. “We are therefore working with radar images from satellites, since radar delivers reliable images irrespective of the weather,” Mahdi Motagh explains.

They will now be developing an automated method to be tested in example regions in China around the Three Gorges dam, in Kirgizstan, and in Iran. The key to the approach is data fusion: radar data and optical satellite images will be combined to map the status quo and subsequently to detect even the slightest of changes. “The radar images are on such a fine scale that they can detect movements in the order of centimetres or even millimetres, as well as minor changes in vegetation, resulting from a landslide,” says Mahdi Motagh. Computers will be trained using machine learning methods to recognise these miniscule changes.

Project Partners

GFZ, DLR

Prof. Dr. Mahdi Motagh,
Dr. Simon Plank

Duration: 24 months

Primary Contact

Prof. Dr. Mahdi Motagh