ASSESSING RESILIENCE OF INFRASTRUCTURES TOWARDS EXOGENOUS EVENTS BY USING PS-INSAR-BASED SURFACE MOTION ESTIMATES AND MACHINE LEARNING REGRESSION TECHNIQUES
N. Fiorentini,M. Maboudi,M. Losa,and M. Gerke
N. Fiorentini
Department of Civil and Industrial Engineering, Engineering School of the University of Pisa, Largo Lucio Lazzarino 1, 56122, Pisa, Italy
M. Maboudi
Institute of Geodesy and Photogrammetry, Technische Universität Braunschweig, Bienroder Weg 81, 38106, Braunschweig, Germany
M. Losa
Department of Civil and Industrial Engineering, Engineering School of the University of Pisa, Largo Lucio Lazzarino 1, 56122, Pisa, Italy
M. Gerke
Institute of Geodesy and Photogrammetry, Technische Universität Braunschweig, Bienroder Weg 81, 38106, Braunschweig, Germany
Viewed
Total article views: 1,129 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
641
443
45
1,129
84
130
HTML: 641
PDF: 443
XML: 45
Total: 1,129
BibTeX: 84
EndNote: 130
Views and downloads (calculated since 03 Aug 2020)
Cumulative views and downloads
(calculated since 03 Aug 2020)
Viewed (geographical distribution)
Total article views: 1,078 (including HTML, PDF, and XML)
Thereof 1,076 with geography defined
and 2 with unknown origin.