Sar Coherence Change Detection of Urban Areas Affected by Disasters Using Sentinel-1 Imagery

Washaya, Prosper; Balz, Timo

doi:10.5194/isprs-archives-xlii-3-1857-2018

Cited by 16 publications

(8 citation statements)

References 8 publications

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“…Vajedian and Motagh (2018) [27] presented a preliminary source model of the earthquake using Sentinel-1 data. Washaya et al (2018), Karimzadeh et al (2018), and Olen et al (2018) used coherence analysis to identify the potential damage areas in Sarpol-e Zahab [28][29][30]. Miyajima et al (2018) [31] investigated the site effect of the earthquake in this area including triggered massive landslides, liquefaction, and rock fall.…”

Section: Introductionmentioning

confidence: 99%

Coseismic Deformation Field of the Mw 7.3 12 November 2017 Sarpol-e Zahab (Iran) Earthquake: A Decoupling Horizon in the Northern Zagros Mountains Inferred from InSAR Observations

et al. 2018

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The study of crustal deformation fields caused by earthquakes is important for a better understanding of seismic hazard and growth of geological structures in tectonically active areas. In this study, we present, using interferometric measurements constructed from Sentinel-1 Terrain Observation with Progressive Scan (TOPS) data and ALOS-2 ScanSAR, coseismic deformation and source model of the Mw 7.3, 12 November 2017 earthquake that hit northwest of the Zagros Mountains in the region between Iran–Iraq border. This was one of the strongest seismic events to hit this region in the past century, and it resulted in an uplift area of about 3500 km2 between the High Zagros Fault (HZF) and Mountain Front Fault (MFF) with a maximum amount of 70 cm south of Miringe fault. A subsidence over an area of 1200 km2 with a maximum amount of 35 cm occurred near Vanisar village at the hanging wall of the HZF. Bayesian inversion of interferometric synthetic aperture radar (InSAR) observations suggests a source model at a depth between 14 and 20 km that is consistent with the existence of a decoupling horizon southwest edge of the northern portion of the Zagros Mountains near the MFF. Moreover, we present evidence for a number of coseismically induced rockslides and landslides, the majority of them which occurred along or close to pre-existing faults, causing decorrelation in differential interferograms. Exploiting the offset-tracking technique, we estimated surface motion by up to 34 and 10 m in horizontal and vertical directions, respectively, due to lateral spreading on a big coseismic-induced landslide near Mela-Kabod. Field observations also revealed several zones of en echelon fractures and crack zones developed along a pre-existing fault passing through Qasr-e Shirin City, which exhibited secondary surface slip by up to 14 cm along its strike.

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Section: Introductionmentioning

confidence: 99%

Coseismic Deformation Field of the Mw 7.3 12 November 2017 Sarpol-e Zahab (Iran) Earthquake: A Decoupling Horizon in the Northern Zagros Mountains Inferred from InSAR Observations

et al. 2018

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“…In fact, the Geographic Information System (GIS) groups and makes available data on land changes. For that, it resorts to high-resolution land cover assessments and change evaluations, with a particular focus on urban areas [34,40,41]. In addition to that, these systems also allow an analysis on the variations of human activities and land cover [41,42].…”

Section: Land-use Changesmentioning

confidence: 99%

“…For that, it resorts to high-resolution land cover assessments and change evaluations, with a particular focus on urban areas [34,40,41]. In addition to that, these systems also allow an analysis on the variations of human activities and land cover [41,42]. Moreover, Urban Atlas (UA) allows the differentiation of coverage classes by classifying high-resolution satellite pictures (SPOT 2.5 m, ALOS 2.5 m, RapidEye 5 m).…”

Section: Land-use Changesmentioning

confidence: 99%

The Evolution of Land-Use Changes in the Alto Tâmega Region, Portugal: From 1990 to 2018 – A Vision of Sustainable Planning

Lousada¹,

Gómez²,

Loures³

2023

Sustainable Regional Planning

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Considering the complex dynamics, patterns, and particularities that the Alto Tâmega region present—e.g., the fragility, shown to achieve sustainable development and growth—a study that analyzes the Land-Use of this region is seen as pivotal to identifying barriers and opportunities for long-term sustainable development, get a vision of sustainable planning. Using GIS (Geographic Information Systems), the present chapter enables us to identify the dynamics and patterns of the evolution of the Land-Use Changes in the Alto Tâmega Region from 1990 to 2018 (years 1990, 2000, 2012, and 2018 using CORINE (Coordination of Information on the Environment) data). Land-Use Changes studies are reliable tools to evaluate the human activities and footprint of proposed strategies and policies in a territory. This study permits us to reinforce that the Land-Use Changes in the Alto Tâmega Region have undergone multiple changes—marked by increasing and decreasing periods. Also, can be considered a surveying baseline for the comparative analysis of similar works for different Land-Use Changes trends in Europe or worldwide. This chapter also enables us to understand that the main actors should design development policies to protect, preserve and conserve these incomparable landscapes, environments, ecosystems, and the region as a whole.

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“…In the present study, we seek to identify the destroyed buildings in Sarpol-e Zahab located in the Kermanshah province, Iran. According to reliable data released from the Sarpol-e Zahab Municipality, the population of this city is currently 45,481 people, and the city covers an area of about 544 hectares [46]. The study area is located in the west of Iran in the Kermanshah province near the Iraqi border.…”

Section: Study Areamentioning

confidence: 99%

Earthquake Aftermath from Very High-Resolution WorldView-2 Image and Semi-Automated Object-Based Image Analysis (Case Study: Kermanshah, Sarpol-e Zahab, Iran)

et al. 2021

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This study aimed to classify an urban area and its surrounding objects after the destructive M7.3 Kermanshah earthquake (12 November 2017) in the west of Iran using very high-resolution (VHR) post-event WorldView-2 images and object-based image analysis (OBIA) methods. The spatial resolution of multispectral (MS) bands (~2 m) was first improved using a pan-sharpening technique that provides a solution by fusing the information of the panchromatic (PAN) and MS bands to generate pan-sharpened images with a spatial resolution of about 50 cm. After applying a segmentation procedure, the classification step was considered as the main process of extracting the aimed features. The aforementioned classification method includes applying spectral and shape indices. Then, the classes were defined as follows: type 1 (settlement area) was collapsed areas, non-collapsed areas, and camps; type 2 (vegetation area) was orchards, cultivated areas, and urban green spaces; and type 3 (miscellaneous area) was rocks, rivers, and bare lands. As OBIA results in the integration of the spatial characteristics of the image object, we also aimed to evaluate the efficiency of object-based features for damage assessment within the semi-automated approach. For this goal, image context assessment algorithms (e.g., textural parameters, shape, and compactness) together with spectral information (e.g., brightness and standard deviation) were applied within the integrated approach. The classification results were satisfactory when compared with the reference map for collapsed buildings provided by UNITAR (the United Nations Institute for Training and Research). In addition, the number of temporary camps was counted after applying OBIA, indicating that 10,249 tents or temporary shelters were established for homeless people up to 17 November 2018. Based on the total damaged population, the essential resources such as emergency equipment, canned food and water bottles can be estimated. The research makes a significant contribution to the development of remote sensing science by means of applying different object-based image-analyzing techniques and evaluating their efficiency within the semi-automated approach, which, accordingly, supports the efficient application of these methods to other worldwide case studies.

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Sar Coherence Change Detection of Urban Areas Affected by Disasters Using Sentinel-1 Imagery

Cited by 16 publications

References 8 publications

Coseismic Deformation Field of the Mw 7.3 12 November 2017 Sarpol-e Zahab (Iran) Earthquake: A Decoupling Horizon in the Northern Zagros Mountains Inferred from InSAR Observations

Coseismic Deformation Field of the Mw 7.3 12 November 2017 Sarpol-e Zahab (Iran) Earthquake: A Decoupling Horizon in the Northern Zagros Mountains Inferred from InSAR Observations

The Evolution of Land-Use Changes in the Alto Tâmega Region, Portugal: From 1990 to 2018 – A Vision of Sustainable Planning

Earthquake Aftermath from Very High-Resolution WorldView-2 Image and Semi-Automated Object-Based Image Analysis (Case Study: Kermanshah, Sarpol-e Zahab, Iran)

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