Department of Civil & Environmental Engineering, University of South Carolina, Columbia, SC 29208, USA
Viewed
Since the preprint corresponding to this journal article was posted outside of Copernicus Publications, the preprint-related metrics are limited to HTML views.
Total article views: 3,854 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
3,026
732
96
3,854
105
133
HTML: 3,026
PDF: 732
XML: 96
Total: 3,854
BibTeX: 105
EndNote: 133
Views and downloads (calculated since 10 May 2023)
Cumulative views and downloads
(calculated since 10 May 2023)
Total article views: 2,940 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
2,136
708
96
2,940
86
114
HTML: 2,136
PDF: 708
XML: 96
Total: 2,940
BibTeX: 86
EndNote: 114
Views and downloads (calculated since 15 Nov 2023)
Cumulative views and downloads
(calculated since 15 Nov 2023)
Total article views: 914 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
890
24
0
914
19
19
HTML: 890
PDF: 24
XML: 0
Total: 914
BibTeX: 19
EndNote: 19
Views and downloads (calculated since 10 May 2023)
Cumulative views and downloads
(calculated since 10 May 2023)
Viewed (geographical distribution)
Since the preprint corresponding to this journal article was posted outside of Copernicus Publications, the preprint-related metrics are limited to HTML views.
Total article views: 3,854 (including HTML, PDF, and XML)
Thereof 3,819 with geography defined
and 35 with unknown origin.
Total article views: 2,940 (including HTML, PDF, and XML)
Thereof 2,906 with geography defined
and 34 with unknown origin.
Total article views: 914 (including HTML, PDF, and XML)
Thereof 913 with geography defined
and 1 with unknown origin.
Predicting flood magnitude and location helps decision-makers to better prepare for flood events. To increase the speed and availability of data during flooding, this study presents a vision-based framework for measuring water levels and detecting floods. The deep learning models use time-lapse images captured by surveillance cameras to detect water extent using semantic segmentation and to transform them into water level values with the help of lidar data.
Predicting flood magnitude and location helps decision-makers to better prepare for flood...