The use of multi temporal LiDAR to assess basin-scale erosion and deposition following the catastrophic January 2011 Lockyer flood, SE Queensland, Australia

Croke, Jacky; Todd, Peter A.; Thompson, Chris; Watson, Fiona; Denham, Robert; Khanal, Giri

doi:10.1016/j.geomorph.2012.11.023

Cited by 80 publications

(97 citation statements)

References 30 publications

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“…Although several studies have performed hydraulic analyses following a large flood, such as floodwater mapping in urban areas (Feng et al, 2015) and basin-scale sediment budget estimation (Croke et al, 2013), floodplain topography has attracted less attention from researchers. Reasons may include the low relief and urban or agricultural land uses of floodplains (Ninfo et al, 2016) and the low preservation potential of flood-related topography in urban areas (Nelson and Leclair, 2006).…”

Section: Introductionmentioning

confidence: 99%

Application of UAV-SfM photogrammetry and aerial lidar to a disastrous flood: repeated topographic measurement of a newly formed crevasse splay of the Kinu River, central Japan

Izumida

Uchiyama

Sugai

2017

Nat. Hazards Earth Syst. Sci.

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Abstract. Geomorphic impacts of a disastrous crevasse splay that formed in September 2015 and its post-formation modifications were quantitatively documented by using repeated, high-definition digital surface models (DSMs) of an inhabited and cultivated floodplain of the Kinu River, central Japan. The DSMs were based on pre-flood (resolution: 2 m) and post-flood (resolution: 1 m) aerial light detection and ranging (lidar) data from January 2007 and September 2015, respectively, and on structure-from-motion (SfM) photogrammetry data (resolution: 3.84 cm) derived from aerial photos taken by an unmanned aerial vehicle (UAV) in December 2015. After elimination of systematic errors among the DSMs and down-sampling of the SfM-derived DSM, elevation changes on the order of 10 −1 m -including not only topography but also growth of vegetation, vanishing of flood waters, and restoration and repair works -were detected. Comparison of the DSMs showed that the volume eroded by the flood was more than twice the deposited volume in the area within 300-500 m of the breached artificial levee, where the topography was significantly affected. The results suggest that DSMs based on a combination of UAV-SfM and lidar data can be used to quantify, rapidly and in rich detail, topographic changes on floodplains caused by floods.

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Section: Introductionmentioning

confidence: 99%

Application of UAV-SfM photogrammetry and aerial lidar to a disastrous flood: repeated topographic measurement of a newly formed crevasse splay of the Kinu River, central Japan

Izumida

Uchiyama

Sugai

2017

Nat. Hazards Earth Syst. Sci.

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“…The high spatial resolution of modern lidar imaging allows the analysis of such morphological changes through the mapping of in-channel features, creation of digital elevation models (DEMs) and change assessment through rendering of multi-temporal DEMs of difference (DODs) . Recent studies highlight the range of applications for lidar analysis at different scales, from reach-scale to catchment-wide processes (Charlton et al, 2003;Croke et al, 2013;Grove et al, 2013). Catchments for which lidar data record pre-disturbance and post-disturbance morphology present a good opportunity to assess changes to processes and morphology as a result of disturbance on a range of scales, from discrete channel units to basin-wide trends.…”

Section: Role Of Large Floods In Channel Evolutionmentioning

confidence: 99%

“…Previous research in the region, using the same lidar data, has applied a single standard deviation error value of ± 0.23 m propagated from the DEMs . This was based on validation of the lidar data with known survey points which yielded a root-meansquare error of 0.08 ± 0.15 m (standard deviation of error -SDE) for the 2010 data and 0.08 ± 0.17 m for the 2011 data (see Croke et al, 2013, for error quantification methods). Croke et al (2013) use a probabilistic approach to assess the uncertainty in their DoD and prescribe a value (95 % confidence interval) of ± 0.44 m. We utilise both of these error estimates and undertake and present min LoD analyses using both values, in addition to a probabilistic approach.…”

Section: Spatial Analysismentioning

confidence: 99%

Hitting rock bottom: morphological responses of bedrock-confined streams to a catastrophic flood

et al. 2015

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Abstract. The role of extreme events in shaping the Earth's surface is one that has held the interests of Earth scientists for centuries. A catastrophic flood in a tectonically quiescent setting in eastern Australia in 2011 provides valuable insight into how semi-alluvial channels respond to such events. Field survey data (3 reaches) and desktop analyses (10 reaches) with catchment areas ranging from 0.5 to 168 km 2 show that the predicted discharge for the 2011 event ranged from 415 to 933 m 3 s −1 , with unit stream power estimates of up to 1077 W m −2 . Estimated entrainment relationships predict the mobility of the entire grain-size population, and field data suggest the localised mobility of boulders up to 4.8 m in diameter. Analysis of repeat lidar data demonstrates that all reaches (field and desktop) were areas of net degradation via extensive scouring of coarse-grained alluvium with a strong positive relationship between catchment area and normalised erosion (R 2 = 0.72-0.74). The extensive scouring in the 2011 flood decreased thalweg variance significantly removing previous step pools and other coarse-grained in-channel units, forming lengths of plane-bed (cobble) reach morphology. This was also accompanied by the exposure of planar bedrock surfaces, marginal bedrock straths and bedrock steps. Post-flood field data indicate a slight increase in thalweg variance as a result of the smaller 2013 flood rebuilding the alluvial overprint with pool-riffle formation. However, the current form and distribution of channel morphological units does not conform to previous classifications of bedrock or headwater river systems. This variation in postflood form indicates that in semi-alluvial systems extreme events are significant for re-setting the morphology of in-channel units and for exposing the underlying lithology to ongoing erosion.

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“…LiDAR has been used on a basin scale to characterize spatial and temporal changes regarding erosion and deposition [16], or to extract fluvial landforms [17]. As far as flood mapping is concerned, high-resolution DSMs derived from LiDAR have increasingly been used to improve the performance of one-dimensional (1D) [18] and two-dimensional (2D) hydraulic models, which are suitable for use in urban areas where buildings and other man-made structures condition flood wave behaviour, with the result that for practical purposes, flow cannot be assumed to be 1D [5,19].…”

Section: Introductionmentioning

confidence: 99%

Flood Damage Analysis: First Floor Elevation Uncertainty Resulting from LiDAR-Derived Digital Surface Models

et al. 2016

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Abstract:The use of high resolution ground-based light detection and ranging (LiDAR) datasets provides spatial density and vertical precision for obtaining highly accurate Digital Surface Models (DSMs). As a result, the reliability of flood damage analysis has improved significantly, owing to the increased accuracy of hydrodynamic models. In addition, considerable error reduction has been achieved in the estimation of first floor elevation, which is a critical parameter for determining structural and content damages in buildings. However, as with any discrete measurement technique, LiDAR data contain object space ambiguities, especially in urban areas where the presence of buildings and the floodplain gives rise to a highly complex landscape that is largely corrected by using ancillary information based on the addition of breaklines to a triangulated irregular network (TIN). The present study provides a methodological approach for assessing uncertainty regarding first floor elevation. This is based on: (i) generation an urban TIN from LiDAR data with a density of 0.5 points¨m´2, complemented with the river bathymetry obtained from a field survey with a density of 0.3 points¨m´2. The TIN was subsequently improved by adding breaklines and was finally transformed to a raster with a spatial resolution of 2 m; (ii) implementation of a two-dimensional (2D) hydrodynamic model based on the 500-year flood return period. The high resolution DSM obtained in the previous step, facilitated addressing the modelling, since it represented suitable urban features influencing hydraulics (e.g., streets and buildings); and (iii) determination of first floor elevation uncertainty within the 500-year flood zone by performing Monte Carlo simulations based on geostatistics and 1997 control elevation points in order to assess error. Deviations in first floor elevation (average: 0.56 m and standard deviation: 0.33 m) show that this parameter has to be neatly characterized in order to obtain reliable assessments of flood damage assessments and implement realistic risk management.

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The use of multi temporal LiDAR to assess basin-scale erosion and deposition following the catastrophic January 2011 Lockyer flood, SE Queensland, Australia

Cited by 80 publications

References 30 publications

Application of UAV-SfM photogrammetry and aerial lidar to a disastrous flood: repeated topographic measurement of a newly formed crevasse splay of the Kinu River, central Japan

Application of UAV-SfM photogrammetry and aerial lidar to a disastrous flood: repeated topographic measurement of a newly formed crevasse splay of the Kinu River, central Japan

Hitting rock bottom: morphological responses of bedrock-confined streams to a catastrophic flood

Flood Damage Analysis: First Floor Elevation Uncertainty Resulting from LiDAR-Derived Digital Surface Models

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