Using VHR multispectral remote sensing and LIDAR data to determine the geomorphological effects of overbank flow on a floodplain (the Vistula River, Poland)

Wierzbicki, Grzegorz; Ostrowski, Piotr; Mazgajski, Michał; Bujakowski, Filip

doi:10.1016/j.geomorph.2012.06.020

Cited by 38 publications

(27 citation statements)

References 14 publications

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“…Wierzbicki et al (2013) used post-flood A. Izumida et al: Application of UAV-SfM photogrammetry and aerial lidar to a disastrous flood aerial lidar data to capture a newly formed crevasse splay of the Vistula River, Poland, but they did not have any pre-flood data to use for topographic comparison. The UAV-based SfM photogrammetric method (UAV-SfM) has basically not been used to examine floodplain topography in the context of a natural disaster, although Tamminga et al (2015b) used it in a fluvial setting to characterize the morphology of a gravelbed river.…”

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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“…SAR images have also been employed due to their strength that can acquire the data regardless of the weather condition [8][9][10]. In spite of the advantages of those sensors, exploiting very high-resolution (VHR) multi-temporal images is still attractive to detect flood extent for more detail analysis with precise performance [11].…”

Section: Introductionmentioning

confidence: 99%

Image Fusion-Based Change Detection for Flood Extent Extraction Using Bi-Temporal Very High-Resolution Satellite Images

Byun¹,

Han

Chae

2015

Remote Sensing

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Abstract:Change detection based on satellite images acquired from an area at different dates is of widespread interest, according to the increasing number of flood-related disasters. The images help to generate products that support emergency response and flood management at a global scale. In this paper, a novel unsupervised change detection approach based on image fusion is introduced. The approach aims to extract the reliable flood extent from very high-resolution (VHR) bi-temporal images. The method takes an advantage of the spectral distortion that occurs during image fusion process to detect the change areas by flood. To this end, a change candidate image is extracted from the fused image generated with bi-temporal images by considering a local spectral distortion. This can be done by employing a universal image quality index (UIQI), which is a measure for local evaluation of spectral distortion. The decision threshold for the determination of changed pixels is set by applying a probability mixture model to the change candidate image based on expectation maximization (EM) algorithm. We used bi-temporal KOMPSAT-2 satellite images to detect the flooded area in the city of N′djamena in Chad. The performance of the proposed method was visually and quantitatively compared with existing change detection methods. The results showed that the proposed method achieved an overall accuracy (OA = 75.04) close OPEN ACCESSRemote Sens. 2015, 7 10348 to that of the support vector machine (SVM)-based supervised change detection method. Moreover, the proposed method showed a better performance in differentiating the flooded area and the permanent water body compared to the existing change detection methods.

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“…As precipitation was also recorded at the beginning of May 2010, the water retention capacity of the soil was already very limited. Hence, these heavy rainfall events caused serious problems in many lowland areas due to flooding and increased sedimentation rates (Bissolli et al, 2011;Skolasi ska et al, 2014;Wierzbicki et al, 2013). In upland and mountain areas, the rainfall intensified soil erosion and initiated mass movements of soil, with consequent delivery of debris to streams and rivers and damage to infrastructure such as houses, roads and bridges.…”

Section: Extreme Weather Event: Intense Rainfall In May 2010mentioning

confidence: 99%

Effects of extreme natural events on the provision of ecosystem services in a mountain environment: The importance of trail design in delivering system resilience and ecosystem service co-benefits

Tomczyk

White

Ewertowski

2016

Journal of Environmental Management

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Using VHR multispectral remote sensing and LIDAR data to determine the geomorphological effects of overbank flow on a floodplain (the Vistula River, Poland)

Cited by 38 publications

References 14 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

Image Fusion-Based Change Detection for Flood Extent Extraction Using Bi-Temporal Very High-Resolution Satellite Images

Effects of extreme natural events on the provision of ecosystem services in a mountain environment: The importance of trail design in delivering system resilience and ecosystem service co-benefits

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