Using Spatial Data and Services in the Cross-border Disaster eResponse Processes Dalibor RADOVAN, PhD Head of R&D Sector GEODETIC INSTITUTE OF SLOVENIA

SPATIAL DATA Position (GPS, national reference stations) Real estate (land cadastre, buildings, infrastructure) Topography (DEM, topo-maps, DOF, satellite imagery, lidar) Disasters change the environment – new data needed!

2D  3D  4D Vulnerability mapping (spatial & socio-economic data) Situation before disaster (spatial data) Situation after disaster (intervention imaging) Assessment of damage (old vs. new spatial data) Prediction & prognosis (time series of spatial data)

FLOODS: Combination of surveys multibeam sonar + lidar + GPS INTERREG – ENHYGMA – Tisa river

Near real-time imaging aerophotogrammetry

Automatic detection and classification hyperspectral satellite images + DOF

Flood damage thematic mapping

Decantation of floods - vegetation Lidar – 3D, high accuracy, multiple reflections INTERREG - HarmoGeo creek River Soča

LANDSLIDES: Extent of impact helicopter photos Slovenian Alps

Simulation of another 1-million m 3 slide

Prevention, intervention, reconstruction geodetic plans UNESCO site – Partisan hospital Franja

HAZARDS AT SEA: Prevention hydrographic sonar survey for safety of navigation Slovenian sea

EARTHQUAKES: Simulation – before & after 3D models “Ljubljana before”

Assessment of earthquake threats – buildings & year of construction real estate register: more than 80 attributes for each building qualitative quantitative temporal positional values

Category of building: which construction standard ?

FIRES: fire brigade districts

BENEFITS OF SPATIAL DATA assessment of threat for single object/person optimization of rescue operations planing of damage inventarization prognosis of potential damage assessment of chain threats (earthquake > fire) identification of dangerous and vulnerable buildings mobile applications

USEFUL RELATIONS Relate spatial data to : database of rescue team members database of rescue equipment database of municipal employes register of inhabitants register of companies real estate register

PROBLEMS FOR DISCUSSION mechanisms of public financing complicated huge amount of data needed spatial data not fit for disaster management maps of vulnerability not enough detailed non-interoperable applications cross border cooperation weak or hindered by differences in organization unsufficient use of spatial data in insurance companies funding of prevention depends on politics and the time of elections funding comes after the disaster (too late) “Better disaster later, than prevention now.” What else? Solutions? Proposals?