Infrastructure assessment for disaster management using multi-sensor and multi-temporal remote sensing imagery

Butenuth, Matthias; Frey, Daniel; Nielsen, Allan Aasbjerg; Skriver, Henning

doi:10.1080/01431161.2010.542204

Cited by 30 publications

(11 citation statements)

References 25 publications

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“…assess transportation networks. Butenuth et al (2011) used multi-sensor, multi-temporal imagery to identify flooded roads. Ehrlich et al (2009) identified, using pre-and post-disaster very high-resolution (VHR) optical imagery (1m or better), infrastructure and road damage after the 2008 Wenchuan earthquake.…”

Section: Introductionmentioning

confidence: 99%

Road assessment after flood events using non-authoritative data

Schnebele

Cervone

Waters

2014

Nat. Hazards Earth Syst. Sci.

103

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Abstract. This research proposes a methodology that leverages non-authoritative data to augment flood extent mapping and the evaluation of transportation infrastructure. The novelty of this approach is the application of freely available, non-authoritative data and its integration with established data and methods. Crowdsourced photos and volunteered geographic data are fused together using a geostatistical interpolation to create an estimation of flood damage in New York City following Hurricane Sandy. This damage assessment is utilized to augment an authoritative storm surge map as well as to create a road damage map for the affected region.

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Section: Introductionmentioning

confidence: 99%

Road assessment after flood events using non-authoritative data

Schnebele

Cervone

Waters

2014

Nat. Hazards Earth Syst. Sci.

103

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“…Stephenson and Anderson (1997) defined it as a “surveillance technology.” The main advantages of satellite imagery and mapping technology include providing an overview of the impact of large-scale disasters (Matsuoka and Yamazaki, 2004) and facilitating visualization and communication of complex and dynamic information (Prakash and Kulkarin, 2003). From a logistics point of view, Butenuth et al (2011) and Holguín-Veras et al (2012) highlighted the benefits of satellite mapping for assessing damage to critical infrastructures and their accessibility (e.g. the state of the transportation infrastructure), whereas Ichoua (2010) and Roy et al (2012) underlined its role to improve the distribution management of aid to beneficiaries.…”

Section: Satellite Technologies In Disaster Relief Logisticsmentioning

confidence: 99%

The role of satellite technologies in relief logistics

Delmonteil

Rancourt

2017

JHLSCM

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Purpose The devastating impact of catastrophic disasters on terrestrial infrastructure requires the adoption of alternative technology solutions among humanitarian organizations. The purpose of this paper is to analyze the role of the most commonly used satellite technologies in relief logistics: imagery and mapping, portable global positioning system (GPS) positioning devices, telecommunications, and GPS vehicle tracking. Design/methodology/approach The paper examines both the benefits and limitations of satellite technologies in light of the existing literature and through a complementary questionnaire survey with field workers involved in humanitarian operations in the aftermath of the 2010 Haiti earthquake. Findings The results show that the use of satellite technologies can facilitate most of the key logistics challenges encountered by relief actors. However, they also highlight important barriers within humanitarian organizations such as the lack of skilled workers and high costs, underlining the need for long-term training, resource investments, and cooperation between users and technology providers. Research limitations/implications The research findings remain valid only in the context of catastrophic disaster responses, which lead to similar destructions, logistical problems, and needs for satellite technologies. Practical implications This paper shows how satellite technologies can support humanitarian professionals in the field. It also provides policy recommendations that can facilitate the use of these technologies. Originality/value The applications of satellite technologies within humanitarian supply chains are not well-defined in the literature. This paper is the first to be dedicated to analyze the role of the main satellite technologies used in a relief logistics setting.

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“…Many researchers have studied building damage information extraction using multi-source remote sensing data. Butenuth et al (2011) used multi-source remote sensing data to extract road damage information and achieved good results, which indicates its validity in earthquake damage information identification. Chini et al (2012) investigated the inundation and liquefaction resulting from the 2011 Tohoku tsunami through a combination of optical data, thematic maps, and SAR data.…”

Section: Introductionmentioning

confidence: 97%

Incorporating multi-source remote sensing in the detection of earthquake-damaged buildings based on logistic regression modelling

Zhang

Jiang

2019

Preprint

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Abstract. After an earthquake, efficiently and accurately acquiring information about damaged buildings can help reduce casualties. Earth observation data have been widely used to map affected areas after earthquakes. However, accurate post-earthquake assessment results are needed to manage recovery and reconstruction and estimate economic losses. In this paper, for quantification and precision purposes, information on earthquake-induced building damage is extracted using multi-source remote sensing images collected after an earthquake. The multi-source remote sensing data include optical data, synthetic aperture radar (SAR) data, and digital surface model (DSM) data generated by interpolating light detection and ranging (LiDAR) point cloud data. Features that describe texture, colour, and geometry are included in our analysis. The feature analysis is carried out according to the rough set theory to further determine the feature parameters. A logistic regression model (LRM) is employed to find the optimal fitting function to describe the relationship between the occurrence and absence of destroyed buildings within an individual object. In our experiment, old Beichuan County, China, the area most devastated by the Wenchuan earthquake on May 12, 2008, is used to test the proposed hypothesis. Through comparison with a ground survey, the experimental results show that the detection accuracy of the proposed method is 94.2 %; the area under the receiver operating characteristic (ROC) curve is 0.827. The efficiency of the proposed method is demonstrated using 6 modes of data combination acquired from the same area in old Beichuan County. The approach is one of the first attempts to extract damaged buildings through the fusion of three types of data with different features. The approach addresses multivariate regression methodologies and compares the potentials of different features for application in the field of damage detection.

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Infrastructure assessment for disaster management using multi-sensor and multi-temporal remote sensing imagery

Cited by 30 publications

References 25 publications

Road assessment after flood events using non-authoritative data

Road assessment after flood events using non-authoritative data

The role of satellite technologies in relief logistics

Incorporating multi-source remote sensing in the detection of earthquake-damaged buildings based on logistic regression modelling

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