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Physics Maths Engineering

Accuracy Assessment of Surveying Strategies for the Characterization of Microtopographic Features That Influence Surface Water Flooding

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Rakhee Ramachandran,

Rakhee Ramachandran

School of Water, Energy and Environment, Cranfield University, College Road, Cranfield, Bedfordshire MK43 0AL, UK


Yadira Bajón Fernández,

Yadira Bajón Fernández

School of Water, Energy and Environment, Cranfield University, College Road, Cranfield, Bedfordshire MK43 0AL, UK


Ian Truckell,

Ian Truckell

School of Water, Energy and Environment, Cranfield University, College Road, Cranfield, Bedfordshire MK43 0AL, UK


Carlos Constantino,

Carlos Constantino

Atkins Limited, One St Aldates, St Aldate’s, Oxford OX1 1DE, UK


Richard Casselden,

Richard Casselden

Atkins Limited, The Hub, 500 Park Avenue, Aztec West, Almondsbury, Bristol BS32 4RZ, UK


Paul Leinster,

Paul Leinster

School of Water, Energy and Environment, Cranfield University, College Road, Cranfield, Bedfordshire MK43 0AL, UK


Mónica Rivas Casado

Mónica Rivas Casado

School of Water, Energy and Environment, Cranfield University, College Road, Cranfield, Bedfordshire MK43 0AL, UK


  Peer Reviewed

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© attribution CC-BY

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rating
605 Views

Added on

2024-11-03

Doi: http://dx.doi.org/10.3390/rs15071912

Abstract

With 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.

Key Questions about Surveying Strategies for Flood Studies

The article "Accuracy Assessment of Surveying Strategies for the Characterization of Microtopographic Features That Influence Surface Water Flooding" evaluates two common surveying methods used in flood studies:

  1. Unmanned Aerial Systems (UAS) with RGB Imaging (S1): Utilizes drones equipped with standard color cameras to capture high-resolution images.
  2. Manned Aircraft with LiDAR Scanning (S2): Employs piloted aircraft equipped with Light Detection and Ranging (LiDAR) technology to generate detailed topographic data.

The study assesses the elevation differences and accuracy levels between these methods across various land uses and microtopographic flood features. Findings indicate that elevation differences between S1 and S2 range from 11 cm to 37 cm, with S1 accuracy varying between 3 cm and 70 cm, and S2 accuracy between 3.8 cm and 30.3 cm. These results suggest that the choice of surveying strategy should be tailored to the specific flood features under investigation. :contentReference[oaicite:3]{index=3}

1. How do Unmanned Aerial Systems (UAS) with RGB imaging compare to manned aircraft with LiDAR scanning in surveying microtopographic features?

The study found that UAS with RGB imaging (S1) and manned aircraft with LiDAR scanning (S2) differ in elevation measurements, with differences ranging from 11 cm to 37 cm across various land uses and flood features. Accuracy levels also vary, with S1 ranging from 3 cm to 70 cm and S2 from 3.8 cm to 30.3 cm. :contentReference[oaicite:4]{index=4}

2. What factors influence the selection of a surveying strategy for flood studies?

The choice between UAS with RGB imaging and manned aircraft with LiDAR scanning should be based on the specific flood features of interest, as each method offers distinct advantages and limitations depending on the microtopographic characteristics of the area. :contentReference[oaicite:5]{index=5}

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ARTICLE USAGE


Article usage: Nov-2024 to Jun-2025
Show by month Manuscript Video Summary
2025 June 105 105
2025 May 115 115
2025 April 82 82
2025 March 65 65
2025 February 52 52
2025 January 44 44
2024 December 67 67
2024 November 75 75
Total 605 605
Show by month Manuscript Video Summary
2025 June 105 105
2025 May 115 115
2025 April 82 82
2025 March 65 65
2025 February 52 52
2025 January 44 44
2024 December 67 67
2024 November 75 75
Total 605 605
Related Subjects
Physics
Math
Chemistry
Computer science
Engineering
Earth science
Biology
copyright icon

© attribution CC-BY

  • 0

rating
605 Views

Added on

2024-11-03

Doi: http://dx.doi.org/10.3390/rs15071912

Related Subjects
Physics
Math
Chemistry
Computer science
Engineering
Earth science
Biology

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