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- Title
Direct local building inundation depth determination in 3D point clouds generated from user-generated flood images.
- Authors
Griesbaum, Luisa; Marx, Sabrina; Höfle, Bernhard
- Abstract
In recent years, the number of people affected by flooding caused by extreme weather events has increased considerably. In order to provide support in disaster recovery or to develop mitigation plans, accurate flood information is necessary. Particularly pluvial urban floods, characterized by high temporal and spatial variations, are not well documented. This study proposes a new, low-cost approach to determining local flood elevation and inundation depth of buildings based on user-generated flood images. It first applies close-range digital photogrammetry to generate a geo-referenced 3D point cloud. Second, based on estimated camera orientation parameters, the flood level captured in a single flood image is mapped to the previously derived point cloud. The local flood elevation and the building inundation depth can then be derived automatically from the point cloud. The proposed method is carried out once for each of 66 different flood images showing the same building façade. An overall accuracy of 0.05 m with an uncertainty of +0.13 m for the derived flood elevation within the area of interest and an accuracy of 0.13 m + 0.10 m for the determined building inundation depth is achieved. Our results demonstrate that the proposed method can provide reliable flood information on a local scale using user-generated flood images as input. The approach can thus allow inundation depth maps to be derived even in complex urban environments with relatively high accuracies.
- Subjects
FLOODS; CLOUD computing; CITIES &; towns; MANAGEMENT
- Publication
Natural Hazards & Earth System Sciences Discussions, 2017, p1
- ISSN
2195-9269
- Publication type
Article
- DOI
10.5194/nhess-2017-93