Identifying damage caused by the 2008 Wenchuan earthquake from VHR remote sensing data

Ehrlich, Daniele; Guo, Huadong; Molch, Katrin; Ma, J. W.; Pesaresi, Martino

doi:10.1080/17538940902767401

Cited by 80 publications

(52 citation statements)

References 11 publications

(6 reference statements)

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“…Because remote sensing images, especially those with high resolutions, may be the only currently practical and reliable tools that are capable of providing full, clear and detailed coverage of large areas when labor resources and work times are limited, this information is urgently needed. Recently, apart from applications in post-earthquake impact assessments [24][25][26][27][28][29][30][31], many studies have addressed the application of high-resolution remote sensing technology to pre-earthquake exposure, vulnerability, and risk. In these pre-earthquake studies, the and/or -relevant issues (see Equation (1)) of various buildings were widely discussed, including various optical imagery-based specific analyses (Table 1) [32][33][34][35][36][37][38][39][40][41][42][43][44][45][46][47][48][49][50], some attempts at fusing optical imagery and LiDAR or SAR data [51][52][53] to help extract the heights of buildings, and several comprehensive reviews [54][55][56][57].…”

Section: Introductionmentioning

confidence: 99%

An Integrated Method Combining Remote Sensing Data and Local Knowledge for the Large-Scale Estimation of Seismic Loss Risks to Buildings in the Context of Rapid Socioeconomic Growth: A Case Study in Tangshan, China

Zhang

et al. 2015

Remote Sensing

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Rapid socioeconomic development in earthquake-prone areas can cause rapid changes in seismic loss risks. These changes make it difficult to ensure that risk reduction strategies are realistic, practical and effective over time. To overcome this difficulty, ongoing changes in risk should be captured timely, definitively, and accurately and then specific and well-timed adjustments of the relevant strategies should be made. However, methods for rapidly characterizing such seismic disaster risks over a large area have not been sufficiently developed. By focusing on building loss risks, this paper presents the development of an integrated method that combines remote sensing data and local OPEN ACCESSRemote Sens. 2015, 7 2544 knowledge to resolve this problem. This method includes two key interdependent steps.(1) To extract the heights and footprint areas of a large number of buildings accurately and quickly from single high-resolution optical remote sensing images; (2) To estimate the floor areas, identify structural types, develop damage probability matrixes, and determine economic parameters for calculating monetary losses due to seismic damage to the buildings by reviewing building-relevant local knowledge based on these two parameters (i.e., the building heights and footprint areas). This method is demonstrated in the Tangshan area of China. Based on the integrated method, the total floor area of the residential and public office buildings in central Tangshan in 2009 was 3.99% lower than the corresponding area number obtained by a conventional earthquake loss estimation project. Our field-based verification indicated that the mean relative error of the method for estimating the floor areas of the assessed buildings was 2.99%. A simulation of the impacts of the 1976 Ms 7.8 Tangshan earthquake using this method indicated that the total damaged floor area of the residential and public office buildings and the associated direct monetary loses in the study area could have been 8.00 and 28.73 times greater, respectively, than in 1976 if this earthquake had recurred in 2009, which is a strong warning to the local people regarding the increasing challenges they may face.

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Section: Introductionmentioning

confidence: 99%

An Integrated Method Combining Remote Sensing Data and Local Knowledge for the Large-Scale Estimation of Seismic Loss Risks to Buildings in the Context of Rapid Socioeconomic Growth: A Case Study in Tangshan, China

Zhang

et al. 2015

Remote Sensing

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“…This earthquake resulted in more than 69 000 casualties, as reported by the Chinese government (2008) (Ehrlich et al, 2009). It was reported that 34 barrier lakes were formed throughout the basin (Chen et al, 2008).…”

Section: Introductionmentioning

confidence: 84%

Efficient dam break flood simulation methods for developing a preliminary evacuation plan after the Wenchuan Earthquake

Gong

Zhu

et al. 2012

Nat. Hazards Earth Syst. Sci.

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Abstract. The Xiaojiaqiao barrier lake, which was the second largest barrier lake formed by the Wenchuan Earthquake had seriously threatened the lives and property of the population downstream. The lake was finally dredged successfully on 7 June 2008. Because of the limited time available to conduct an inundation potential analysis and make an evacuation plan, barrier lake information extraction and real-time dam break flood simulation should be carried out quickly, integrating remote sensing and geographic information system (GIS) techniques with hydrologic/hydraulic analysis. In this paper, a technical framework and several key techniques for this real-time preliminary evacuation planning are introduced. An object-oriented method was used to extract hydrological information on the barrier lake from unmanned aerial vehicle (UAV) remote sensing images. The real-time flood routine was calculated by using shallow-water equations, which were solved by means of a finite volume scheme on multiblock structured grids. The results of the hydraulic computations are visualized and analyzed in a 3-D geographic information system for inundation potential analysis, and an emergency response plan is made. The results show that if either a full-break or a half-break situation had occurred for the Chapinghe barrier lake on 19 May 2008, then the Xiaoba Town region and the Sangzao Town region would have been affected, but the downstream towns would have been less influenced. Preliminary evacuation plans under different dam break situations can be effectively made using these methods.

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“…There are many examples of successful studies where the results obtained have been satisfactory and useful, e.g. Li et al (2010) using VHR satellite imagery, Ehrlich et al (2009) processing VHR radar imagery, or Khoshelham et al (2013) employing aerial LiDAR data sets. For a deeper review of platforms and data types used for damage mapping see reviews by Kerle et al (2008), Zhang and Kerle (2008), and Dell'Acqua and Gamba (2012).…”

Section: State Of the Art In Image-based Damage Assessmentmentioning

confidence: 99%

UAV-based urban structural damage assessment using object-based image analysis and semantic reasoning

Galarreta

Kerle

Gerke

2015

Nat. Hazards Earth Syst. Sci.

189

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Abstract. Structural damage assessment is critical after disasters but remains a challenge. Many studies have explored the potential of remote sensing data, but limitations of vertical data persist. Oblique imagery has been identified as more useful, though the multi-angle imagery also adds a new dimension of complexity. This paper addresses damage assessment based on multi-perspective, overlapping, very high resolution oblique images obtained with unmanned aerial vehicles (UAVs). 3-D point-cloud assessment for the entire building is combined with detailed object-based image analysis (OBIA) of façades and roofs. This research focuses not on automatic damage assessment, but on creating a methodology that supports the often ambiguous classification of intermediate damage levels, aiming at producing comprehensive per-building damage scores. We identify completely damaged structures in the 3-D point cloud, and for all other cases provide the OBIA-based damage indicators to be used as auxiliary information by damage analysts. The results demonstrate the usability of the 3-D point-cloud data to identify major damage features. Also the UAV-derived and OBIA-processed oblique images are shown to be a suitable basis for the identification of detailed damage features on façades and roofs. Finally, we also demonstrate the possibility of aggregating the multi-perspective damage information at building level.

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Identifying damage caused by the 2008 Wenchuan earthquake from VHR remote sensing data

Cited by 80 publications

References 11 publications

An Integrated Method Combining Remote Sensing Data and Local Knowledge for the Large-Scale Estimation of Seismic Loss Risks to Buildings in the Context of Rapid Socioeconomic Growth: A Case Study in Tangshan, China

An Integrated Method Combining Remote Sensing Data and Local Knowledge for the Large-Scale Estimation of Seismic Loss Risks to Buildings in the Context of Rapid Socioeconomic Growth: A Case Study in Tangshan, China

Efficient dam break flood simulation methods for developing a preliminary evacuation plan after the Wenchuan Earthquake

UAV-based urban structural damage assessment using object-based image analysis and semantic reasoning

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