Accuracy assessment of surveying strategies for the characterization of microtopographic features that influence surface water flooding

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dc.contributor.authorRamachandran, Rakhee
dc.contributor.authorBajón Fernández, Yadira
dc.contributor.authorTruckell, Ian
dc.contributor.authorConstantino, Carlos
dc.contributor.authorCasselden, Richard
dc.contributor.authorLeinster, Paul
dc.contributor.authorRivas Casado, Monica
dc.date.accessioned2023-04-08T14:18:12Z
dc.date.available2023-04-08T14:18:12Z
dc.date.issued2023-04-02
dc.description.abstractWith the increase in rainfall intensity, population, and urbanised areas, surface water flooding (SWF) is an increasing concern impacting properties, businesses, and human lives. Previous studies have shown that microtopography significantly influences flow paths, flow direction, and velocity, impacting flood extent and depth, particularly for the shallow flow associated with urban SWF. This study compares two survey strategies commonly used by flood practitioners, S1 (using Unmanned Aerial Systems-based RGB data) and S2 (using manned aircraft with LiDAR scanners), to develop guidelines on where to use each strategy to better characterise microtopography for a range of flood features. The difference between S1 and S2 in elevation and their accuracies were assessed using both traditional and robust statistical measures. The results showed that the difference in elevation between S1 and S2 varies between 11 cm and 37 cm on different land use and microtopographic flood features. Similarly, the accuracy of S1 ranges between 3 cm and 70 cm, and the accuracy of S2 ranges between 3.8 cm and 30.3 cm on different microtopographic flood features. Thus, this study suggests that the flood features of interest in any given flood study would be key to select the most suitable survey strategy. A decision framework was developed to inform data collection and integration of the two surveying strategies to better characterise microtopographic features. The findings from this study will help improve the microtopographic representation of flood features in flood models and, thus, increase the ability to identify high flood-risk prompt areas accurately. It would also help manage and maintain drainage assets, spatial planning of sustainable drainage systems, and property level flood resilience and insurance to better adapt to the effects of climate change. This study is another step towards standardising flood extent and impact surveying strategies.en_UK
dc.description.sponsorshipEngineering and Physical Sciences Research Council (EPSRC): EP/N010329/1. Atkins Globalen_UK
dc.identifier.citationRamachandran R, Bajón Fernández Y, Truckell I, et al., (2023) Accuracy assessment of surveying strategies for the characterization of microtopographic features that influence surface water flooding, Remote Sensing, Volume 15, Issue 7, April 2023, Article number 1912en_UK
dc.identifier.issn2072-4292
dc.identifier.urihttps://doi.org/10.3390/rs15071912
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/19432
dc.language.isoenen_UK
dc.publisherMDPIen_UK
dc.rightsAttribution 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectUAS–RGB surveyen_UK
dc.subjectLiDAR surveyen_UK
dc.subjectmicrotopographic featuresen_UK
dc.subjectpluvial floodingen_UK
dc.subjectsurface water floodingen_UK
dc.subjectsurvey strategy decision frameworken_UK
dc.titleAccuracy assessment of surveying strategies for the characterization of microtopographic features that influence surface water floodingen_UK
dc.typeArticleen_UK

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