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Using Spatial Data and Services in the Cross-border Disaster eResponse Processes. Dalibor RADOVAN , PhD Head of R&D Sector GEODET IC I N S TITUT E OF SLOVENI A. SPATIAL DATA. Position (GPS, national reference stations) Real estate (land cadastre, buildings, infrastructure) Topography
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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
Automatic detection and classification hyperspectral satellite images + DOF
Decantation of floods - vegetationLidar – 3D, high accuracy, multiple reflectionsINTERREG - HarmoGeo River Soča creek
LANDSLIDES: Extent of impacthelicopter photos Slovenian Alps
Prevention, intervention, reconstruction geodetic plansUNESCO site – Partisan hospital Franja
HAZARDS AT SEA: Preventionhydrographic sonar survey for safety of navigation Slovenian sea
EARTHQUAKES: Simulation – before & after3D 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
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 • registerof 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?