Lambertini, Alessandro
  
(2017)
Innovative Use and Integration of Remote Sensed Geospatial Data for 3D City Modeling and GIS Urban Applications, [Dissertation thesis], Alma Mater Studiorum Università di Bologna. 
 Dottorato di ricerca in 
Ingegneria civile, chimica, ambientale e dei materiali, 29 Ciclo. DOI 10.6092/unibo/amsdottorato/8178.
  
 
  
  
        
        
        
  
  
  
  
  
  
  
    
  
    
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      Abstract
      Modern remote sensing instruments, mounted on a modern aerial platform and assisted through the use of automated procedures are now capable of acquiring data over a vast area in a short timeframe. Thanks to innovative processing methods and algorithms it is then possible to rapidly deliver results with a high detail and accuracy. The discussed thesis provides a detailed overview, through different case studies and examples, on the evolving complete pipeline required to survey, process, store, integrate, analyze and deliver data in the form of a 3D city model and GIS in the urban environment. A comprehensive 3D city model is, in fact, the necessary multi-disciplinary backbone for the ubiquitous sensors of a Smart City.
     
    
      Abstract
      Modern remote sensing instruments, mounted on a modern aerial platform and assisted through the use of automated procedures are now capable of acquiring data over a vast area in a short timeframe. Thanks to innovative processing methods and algorithms it is then possible to rapidly deliver results with a high detail and accuracy. The discussed thesis provides a detailed overview, through different case studies and examples, on the evolving complete pipeline required to survey, process, store, integrate, analyze and deliver data in the form of a 3D city model and GIS in the urban environment. A comprehensive 3D city model is, in fact, the necessary multi-disciplinary backbone for the ubiquitous sensors of a Smart City.
     
  
  
    
    
      Tipologia del documento
      Tesi di dottorato
      
      
      
      
        
      
        
          Autore
          Lambertini, Alessandro
          
        
      
        
          Supervisore
          
          
        
      
        
      
        
          Dottorato di ricerca
          
          
        
      
        
      
        
          Ciclo
          29
          
        
      
        
          Coordinatore
          
          
        
      
        
          Settore disciplinare
          
          
        
      
        
          Settore concorsuale
          
          
        
      
        
          Parole chiave
          Remote Sensing, LIDAR, Photogrammetry, UAV, Point cloud, 3D city model, Smart City, GIS, WebGIS, Open Source, Open Data
          
        
      
        
          URN:NBN
          
          
        
      
        
          DOI
          10.6092/unibo/amsdottorato/8178
          
        
      
        
          Data di discussione
          17 Maggio 2017
          
        
      
      URI
      
      
     
   
  
    Altri metadati
    
      Tipologia del documento
      Tesi di dottorato
      
      
      
      
        
      
        
          Autore
          Lambertini, Alessandro
          
        
      
        
          Supervisore
          
          
        
      
        
      
        
          Dottorato di ricerca
          
          
        
      
        
      
        
          Ciclo
          29
          
        
      
        
          Coordinatore
          
          
        
      
        
          Settore disciplinare
          
          
        
      
        
          Settore concorsuale
          
          
        
      
        
          Parole chiave
          Remote Sensing, LIDAR, Photogrammetry, UAV, Point cloud, 3D city model, Smart City, GIS, WebGIS, Open Source, Open Data
          
        
      
        
          URN:NBN
          
          
        
      
        
          DOI
          10.6092/unibo/amsdottorato/8178
          
        
      
        
          Data di discussione
          17 Maggio 2017
          
        
      
      URI
      
      
     
   
  
  
  
  
  
    
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