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 imagingaerophotogrammetry

Automatic detection and classification

hyperspectral satellite images + DOF

Flood damage thematic mapping

Decantation of floods - vegetation Lidar – 3D, high accuracy, multiple reflectionsINTERREG - HarmoGeo

creek

River Soča

LANDSLIDES: Extent of impacthelicopter photos

Slovenian Alps

Simulation of another 1-million m3 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?