Flood risk assessment based on LiDAR and UAV points clouds and DEM

Miro Govedarica; Gordana Jakovljević; Flor Álvarez-Taboada

doi:10.1117/12.2513278

10 October 2018 Flood risk assessment based on LiDAR and UAV points clouds and DEM

Miro Govedarica, Gordana Jakovljević, Flor Álvarez-Taboada

Proceedings Volume 10783, Remote Sensing for Agriculture, Ecosystems, and Hydrology XX; 107830B (2018) https://doi.org/10.1117/12.2513278
Event: SPIE Remote Sensing, 2018, Berlin, Germany

Abstract

Floods are one of the most serious and common natural disasters that cause fatalities and considerable economic losses worldwide every year. In order to reduce and manage risk that floods pose to human health, the environmental and economy flood risk map, as a crucial element of flood risk management, need to be generated. Most often flood risk is estimated based on Digital Elevation Model and projected water levels therefor DEM’s resolution and accuracy highly influence on the reliability of flood risk map especially in lowlands area, where the offset of few decimeters in the elevation data have a significant impact. Airborne light detection and ranging (LiDAR) remote sensing has been a widely used method that provides high-resolution topographical datasets. However LiDAR data are expensive and hard to acquire, usually limited by availability of technology and legal constrains. The main aim of this paper is to present usability of DEM, crated based on UAV RGB images, for flood risk assessment in Vojvodina Porvince, Republic of Serbia therefor flood risk assessment by using the UAV DEM was compared with a flood risk assessment based on LiDAR DEM. Additionally, UAV point cloud was compared with high resolution LiDAR point cloud.

Citation Download Citation

Miro Govedarica, Gordana Jakovljević, and Flor Álvarez-Taboada "Flood risk assessment based on LiDAR and UAV points clouds and DEM", Proc. SPIE 10783, Remote Sensing for Agriculture, Ecosystems, and Hydrology XX, 107830B (10 October 2018); https://doi.org/10.1117/12.2513278

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