IANIGLA   20881
INSTITUTO ARGENTINO DE NIVOLOGIA, GLACIOLOGIA Y CIENCIAS AMBIENTALES
Unidad Ejecutora - UE
congresos y reuniones científicas
Título:
Landslide hazard detection from LIDAR data
Autor/es:
TOTH C.; MORA, O.; LENZANO M. G; GREJNER-BRZEZINSKA, D.
Lugar:
Baltimore
Reunión:
Conferencia; ASPRS 2013 Annual Conference; 2013
Resumen:
Landslides pose a great concern to our environment; in particular, they represent a substantial hazard to the transportation infrastructure. Identifying areas along transportation corridors, subject to developing landslides in near future is an important task to prevent the occurrence of dangerous events. This feasibility study is focused on assessing the potential of using airborne LiDAR data to identify surface structures that could be indicative of developing landslides. First, the local surface features are analyzed to determine whether they can provide initial hypothesis for landslide suspect areas. Next, linear features, such as surface profiles are studied to establish correlation between their shape and known typical landslide descriptions. Finally, surface patches are considered for shape-based matching to determine potentially hazardous areas. The paper summarizes the initial findings of this investigation.
rds']