A dual–polarimetric approach to earthquake damage assessment

Ferrentino, Emanuele; Marino, Armando; Nunziata, Ferdinando; Migliaccio, Maurizio

doi:10.1080/01431161.2018.1511935

Cited by 27 publications

(16 citation statements)

References 32 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…al. were proposed to use a coherent dual-polarimetric feature based on the inter-channel (11) (12) coherence [32], then Lagrange optimization of the difference between two polarimetric covariance matrices were offered in followed works [33].…”

Section: ноSokawa Et Al Proposed Temporal Coherence Ratio For Detection Of Building Damage [20]mentioning

confidence: 99%

Change Detection Based Building Damage Assessment Method Using Radar Imageries with GLCM Textural Parameters

Akhmadiya¹,

Nabiyev²,

Moldamurat³

et al. 2020

Preprint

View full text Add to dashboard Cite

In this research paper, change detection based methods were considered to find collapsed and intact buildings using radar remote sensing data or radar imageries. Main task of this research paper is collection of most relevant scientific research in field of building damage assessment using radar remote sensing data. Several methods are selected and presented as best methods in present time, there are methods with using interferometric coherence, backscattering coefficients in different spatial resolution. In conclusion, methods are given in end, which show, which methods and radar remote sensing data give more accuracy and more available for building damage assessment. Low resolution Sentinel-1A/B radar remote sensing data are recomended as free available for monitoring of destruction degree in microdistrict level. Change detection and texture based method are used together to increase overall accuracy. Homogeneity and Dissimilarity GLCM texture parameters found as better for separation of a collapsed and intact buildings. Dual polarization (VV,VH) backscattering coefficients and coherence coefficients (before earthquake and coseismic) were fully utilized for this study. There were defined the better multi variable for supervised classification of none building, damaged and intact buildings features in urban areas. In this work, we were achieved overall accuracy 0.77, producer’s accuracy for none building is 0.84, for damaged building case 0.85, for intact building 0.64. Amatrice town was chosen as most damaged from 2016 Central Italy Earthquake.

show abstract

Section: ноSokawa Et Al Proposed Temporal Coherence Ratio For Detection Of Building Damage [20]mentioning

confidence: 99%

Change Detection Based Building Damage Assessment Method Using Radar Imageries with GLCM Textural Parameters

Akhmadiya¹,

Nabiyev²,

Moldamurat³

et al. 2020

Preprint

View full text Add to dashboard Cite

show abstract

“…Remote sensing is an effective tool to analyze damage after natural disasters [5][6][7][8][9][10][11]. Klemas [12] and Lin et al [13] summarized recent studies on flood assessments using optical and SAR sensors.…”

Section: Introductionmentioning

confidence: 99%

Inundation Assessment of the 2019 Typhoon Hagibis in Japan Using Multi-Temporal Sentinel-1 Intensity Images

et al. 2021

View full text Add to dashboard Cite

Typhoon Hagibis passed through Japan on October 12, 2019, bringing heavy rainfall over half of Japan. Twelve banks of seven state-managed rivers collapsed, flooding a wide area. Quick and accurate damage proximity maps are helpful for emergency responses and relief activities after such disasters. In this study, we propose a quick analysis procedure to estimate inundations due to Typhoon Hagibis using multi-temporal Sentinel-1 SAR intensity images. The study area was Ibaraki Prefecture, Japan, including two flooded state-managed rivers, Naka and Kuji. First, the completely flooded areas were detected by two traditional methods, the change detection and the thresholding methods. By comparing the results in a part of the affected area with our field survey, the change detection was adopted due to its higher recall accuracy. Then, a new index combining the average value and the standard deviation of the differences was proposed for extracting partially flooded built-up areas. Finally, inundation maps were created by merging the completely and partially flooded areas. The final inundation map was evaluated via comparison with the flooding boundary produced by the Geospatial Information Authority (GSI) and the Ministry of Land, Infrastructure, Transport, and Tourism (MLIT) of Japan. As a result, 74% of the inundated areas were able to be identified successfully using the proposed quick procedure.

show abstract

“…The SAR intensity, interferometric coherence, SAR polarimetry have been largely studied by scientists for earthquake damage estimation purpose. Recently Watanabe et al [11] detected the building damages in the 2015 Gorkha, Nepal, earthquake using interferometric SAR coherence-change technique with coherence filter and polarization; Karimzadeh and Matsuoka [12] assessed the building damages caused by the 2016 Amatrice earthquake with multitemporal SAR coherence and intensity methods using dual-polarized SAR data, and developed linear discriminant functions to generate the damage proxy maps; Moya et al [13] identified the collapsed buildings due to the 2011 Tohoku earthquake/tsunami and the 2016 Kumamoto earthquake using three-dimensional Gray Level Co-occurrence Matrix (3DGLCM); Ferrentino et al [14] proposed a method to detect damages in dual polarimetric (DP) coherent SAR imagery based on the optimization of the complete covariance matrices collected before and after earthquakes.…”

Section: Introductionmentioning

confidence: 99%

Earthquake-Induced Landslide Mapping for the 2018 Hokkaido Eastern Iburi Earthquake Using PALSAR-2 Data

et al. 2019

View full text Add to dashboard Cite

Timely information about landslides during or immediately after an event is an invaluable source for emergency response and management. Using an active sensor, synthetic aperture radar (SAR) can capture images of the earth’s surface regardless of weather conditions and may provide a solution to the problem of mapping landslides when clouds obstruct optical imaging. The 2018 Hokkaido Eastern Iburi earthquake (Mw 6.6) and its aftershocks not only caused major damage with severe loss of life and property but also induced many landslides across the area. To gain a better understanding of the landslides induced by this earthquake, we proposed a method of landslide mapping using pre- and post-event Advanced Land Observation Satellite 2 Phased Array L-band Synthetic Aperture Radar 2 (ALOS-2 PALSAR-2) images acquired from both descending and ascending orbits. Moreover, the accuracy of the classification results was verified by comparisons with high-resolution optical images, and ground truth data (provided by GSI, Japan). The detected landslides show a good match with the reference optical images by visual comparison. The quantitative comparison results showed that a combination of the descending and ascending intensity-based landslide classification had the best accuracy with an overall accuracy and kappa coefficient of 80.1% and 0.45, respectively.

show abstract

A dual–polarimetric approach to earthquake damage assessment

Cited by 27 publications

References 32 publications

Change Detection Based Building Damage Assessment Method Using Radar Imageries with GLCM Textural Parameters

Change Detection Based Building Damage Assessment Method Using Radar Imageries with GLCM Textural Parameters

Inundation Assessment of the 2019 Typhoon Hagibis in Japan Using Multi-Temporal Sentinel-1 Intensity Images

Earthquake-Induced Landslide Mapping for the 2018 Hokkaido Eastern Iburi Earthquake Using PALSAR-2 Data

Contact Info

Product

Resources

About