Geospatial Information Technology for Emergency ResponseSisi Zlatanova, Jonathan Li CRC Press, 24 jan 2008 - 394 pagina's Disaster management is generally understood to consist of four phases: mitigation, preparedness, response and recovery. While these phases are all important and interrelated, response and recovery are often considered to be the most critical in terms of saving lives. Response is the acute phase occurring after the event, and includes all arrangemen |
Inhoudsopgave
Data collection and products | 41 |
Data management and routing in 3D | 121 |
Positioning virtual reality and simulation | 185 |
Integration of heterogeneous data | 241 |
Applications and solutions | 311 |
373 | |
375 | |
ISPRS Book Series | 381 |
Overige edities - Alles bekijken
Geospatial Information Technology for Emergency Response Sisi Zlatanova,Jonathan Li Gedeeltelijke weergave - 2008 |
Geospatial Information Technology for Emergency Response Sisi Zlatanova,Jonathan Li Geen voorbeeld beschikbaar - 2008 |
Geospatial Information Technology for Emergency Response Sisi Zlatanova,Jonathan Li Geen voorbeeld beschikbaar - 2019 |
Veelvoorkomende woorden en zinsdelen
accuracy activities agencies allow analysis applications approach assessment building cameras chapter collected communication coordinates damage database decision described detailed determine developed direct disaster display dynamic effective emergency response environment evacuation example existing Figure fire flood function geographic geometric geometry geospatial information given identify implementation important improve incident indexing integration International issues Italy limited mapping means measurements methods mobile natural node objects ontologies operations planning positioning possible potential presented problem protection radar range real-time reference relevant remote sensing represent resolution result risk road routing satellite scenario sensors situation sources space spatial specific standard structure Survey Table traffic transportation types units University urban vehicle visualization