Flood depth estimation by means of high-resolution SAR images and lidar data
<p>When floods hit inhabited areas, great losses are usually registered in terms of both impacts on people (i.e., fatalities and injuries) and economic impacts on urban areas, commercial and productive sites, infrastructures, and agriculture. To properly assess these, several parameters are...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2018-11-01
|
| Series: | Natural Hazards and Earth System Sciences |
| Online Access: | https://www.nat-hazards-earth-syst-sci.net/18/3063/2018/nhess-18-3063-2018.pdf |
| Summary: | <p>When floods hit inhabited areas, great losses are usually registered in terms
of both impacts on people (i.e., fatalities and injuries) and economic
impacts on urban areas, commercial and productive sites, infrastructures, and
agriculture. To properly assess these, several parameters are needed, among
which flood depth is one of the most important as it governs the models used
to compute damages in economic terms. This paper presents a simple yet
effective semiautomatic approach for deriving very precise inundation depth.
First, precise flood extent is derived employing a change detection approach
based on the normalized difference flood index computed from high-resolution
synthetic aperture radar imagery. Second, by means of a high-resolution lidar
digital elevation model, water surface elevation is estimated through a
statistical analysis of terrain elevation along the boundary lines of the
identified flooded areas. Experimental results and quality assessment are
given for the flood that occurred in the Veneto region, northeastern Italy,
in 2010. In particular, the method proved fast and robust and, compared to
hydrodynamic models, it requires sensibly less input information.</p> |
|---|---|
| ISSN: | 1561-8633 1684-9981 |