A Landslide Inventory Map (LIM) shows the location, spatial extent and type of landslides in a region. LAMPRE has advanced the methods available to prepare and update LIMs through expert visual interpretation of very-high resolution stereoscopic satellite images.
The methods developed by LAMPRE can be used to prepare a LIM anywhere stereoscopic satellite images of adequate quality are available. The methods work in all landscapes and climatic regions, and are applicable for areas ranging from a few to several hundreds of square kilometres. The methods developed by LAMPRE can be used in combination, or as an alternative, to the traditional methods used by geomorphologists, which are based on the visual interpretation of stereoscopic aerial photographs.
LAMPRE can prepare or update a LIM whenever new stereoscopic satellite imagery becomes available for an area of interest. The time for the preparation or the update of a LIM varies from a few days to several months, depending on the extent and the complexity of the study area. LAMPRE can prepare multi-temporal LIMs by periodically systematically updating the LIM for the same area.
Civil Protection authorities use LIMs in the aftermath of an event for improved rescue and recovery operation.
Planning & development authorities use LIMs to identify areas affected by landslides, and so that dangerous areas can be avoided.
Transportation authorities & utility managers use LIMs to evaluate the impact of landslides on transportation or utility networks.
Agricultural & forest agencies use LIMs to assess the impact of landslides on crops and forests.
Scientists use LIMs for erosional studies and to determine the statistics of landslide areas.
LAMPRE prepares LIMs at scales ranging from 1:25,000 (smaller scale) to 1:10,000 (larger scale) in periods ranging from days to months, depending on the extent and complexity of the study area. To prepare a LIM, LAMPRE needs stereoscopic satellite images or aerial photographs, and delivers the LIM in raster and vector formats.
Galli et al. (2008) doi: 10.1016/j.geomorph.2006.09.023
Guzzetti et al. (2012) doi: 10.1016/j.earscirev.2012.02.001