The Role of Remote Sensing in Earthquake Science and Engineering: Opportunities and Challenges

Rathje, Ellen M.; Adams, Beverley J.

doi:10.1193/1.2923922

Cited by 60 publications

(42 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Urban expansion results in the change of urban land cover and the expansion of a city's border, which is necessary for accommodating a growing population and providing them with public city services [1]. Furthermore, it is important to continuously update land cover maps at macro-and micro-scales, which helps governments to be prepared for emergency monitoring of cities, especially after natural hazards [2][3][4][5][6][7][8][9][10][11].…”

Section: Introductionmentioning

confidence: 99%

Texture Analysis and Land Cover Classification of Tehran Using Polarimetric Synthetic Aperture Radar Imagery

Zakeri¹,

Yamazaki²,

Li³

2017

Applied Sciences

View full text Add to dashboard Cite

Abstract:Land cover classification of built-up and bare land areas in arid or semi-arid regions from multi-spectral optical images is not simple, due to the similarity of the spectral characteristics of the ground and building materials. However, synthetic aperture radar (SAR) images could overcome this issue because of the backscattering dependency on the material and the geometry of different surface objects. Therefore, in this paper, dual-polarized data from ALOS-2 PALSAR-2 (HH, HV) and Sentinel-1 C-SAR (VV, VH) were used to classify the land cover of Tehran city, Iran, which has grown rapidly in recent years. In addition, texture analysis was adopted to improve the land cover classification accuracy. In total, eight texture measures were calculated from SAR data. Then, principal component analysis was applied, and the first three components were selected for combination with the backscattering polarized images. Additionally, two supervised classification algorithms, support vector machine and maximum likelihood, were used to detect bare land, vegetation, and three different built-up classes. The results indicate that land cover classification obtained from backscatter values has better performance than that obtained from optical images. Furthermore, the layer stacking of texture features and backscatter values significantly increases the overall accuracy.

show abstract

Section: Introductionmentioning

confidence: 99%

Texture Analysis and Land Cover Classification of Tehran Using Polarimetric Synthetic Aperture Radar Imagery

Zakeri¹,

Yamazaki²,

Li³

2017

Applied Sciences

View full text Add to dashboard Cite

show abstract

“…Remote sensing is an effective tool for detecting damaged areas because it can be used to document damage to large areas without direct access to the affected area (Yamazaki and Matsuoka, 2007;Rathje and Adams, 2008;Dell'Acqua and Gamba, 2012). Immense improvement to the accessibility of remote-sensing imagery data and geospatial data processing tools has been achieved over the last several years (Vuolo et al, 2016;Korosov et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

Detection of collapsed buildings from lidar data due to the 2016 Kumamoto earthquake in Japan

Moya¹,

Yamazaki

Wen

et al. 2018

Nat. Hazards Earth Syst. Sci.

View full text Add to dashboard Cite

Abstract. The 2016 Kumamoto earthquake sequence was triggered by an M w 6.2 event at 21:26 on 14 April. Approximately 28 h later, at 01:25 on 16 April, an M w 7.0 event (the mainshock) followed. The epicenters of both events were located near the residential area of Mashiki and affected the region nearby. Due to very strong seismic ground motion, the earthquake produced extensive damage to buildings and infrastructure. In this paper, collapsed buildings were detected using a pair of digital surface models (DSMs), taken before and after the 16 April mainshock by airborne light detection and ranging (lidar) flights. Different methods were evaluated to identify collapsed buildings from the DSMs. The change in average elevation within a building footprint was found to be the most important factor. Finally, the distribution of collapsed buildings in the study area was presented, and the result was consistent with that of a building damage survey performed after the earthquake.

show abstract

“…Currently, after an earthquake, the damages induced by the earthquake are documented by reconnaissance teams (Rathje and Adams, 2008). However, large earthquakes such as the 2001 M7.7 Bhuj earthquake, which shook 70% of India, killed 20,000 people, and made 600,000 people homeless, pose a great challenge to field reconnaissance teams attempting to document the entire suite of liquefaction effects.…”

Section: Introductionmentioning

confidence: 99%

Documenting Earthquake-Induced Liquefaction Using Satellite Remote Sensing Image Transformations

Oommen

Baise

Gens

et al. 2013

Environmental & Engineering Geoscience

View full text Add to dashboard Cite

Documenting earthquake-induced liquefaction effects is important to validate empirical liquefaction susceptibility models and to enhance our understanding of the liquefaction process. Currently, after an earthquake, field-based mapping of liquefaction can be sporadic and limited due to inaccessibility and lack of resources. Alternatively, researchers have used change detection with remotely sensed pre-and postearthquake satellite images to map earthquake-induced effects. We hypothesize that as liquefaction occurs in saturated granular soils due to an increase in pore pressure, liquefaction-induced surface changes should be associated with increased moisture, and spectral bands/transformations that are sensitive to soil moisture can be used to identify these areas. We verify our hypothesis using change detection with pre-and postearthquake thermal and tasseled cap wetness images derived from available Landsat 7 Enhanced Thematic Mapper Plus (ETM + ) for the 2001 Bhuj earthquake in India. The tasseled cap wetness image is directly related to the soil moisture content, whereas the thermal image is inversely related to it. The change detection of the tasseled cap transform wetness image helped to delineate earthquake-induced liquefaction areas that corroborated well with previous studies. The extent of liquefaction varied within and between geomorphological units, which we believe can be attributed to differences in the soil moisture retention capacity within and between the geomorphological units.

show abstract

The Role of Remote Sensing in Earthquake Science and Engineering: Opportunities and Challenges

Cited by 60 publications

References 20 publications

Texture Analysis and Land Cover Classification of Tehran Using Polarimetric Synthetic Aperture Radar Imagery

Texture Analysis and Land Cover Classification of Tehran Using Polarimetric Synthetic Aperture Radar Imagery

Detection of collapsed buildings from lidar data due to the 2016 Kumamoto earthquake in Japan

Documenting Earthquake-Induced Liquefaction Using Satellite Remote Sensing Image Transformations

Contact Info

Product

Resources

About