A review of the 2005 Kashmir earthquake-induced landslides; from a remote sensing prospective

Shafique, Muhammad; Meijde, M. van der; Khan, Muhammad Asif

doi:10.1016/j.jseaes.2016.01.002

Cited by 84 publications

(35 citation statements)

References 87 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Since the number of landslides is one of the key characteristics of landslide inventory mapping [12], we compared the number of landslides of the study area and the test image, detected by our method with that from the ground truth [48] and demonstrated the results in Table 1.…”

Section: Figure 8 Further Background Objects Re-movement By Demlandsmentioning

confidence: 99%

“…Landsat data [8], SPOT5 [9] and google earth image [10] are also widely used in landslide susceptibility mapping. Apart from that, remote sensing is playing a dominant role in exploring the relationship between earthquake and the distribution of landslides [11][12][13][14][15][16][17] to further understand the mechanisms and the correlation coefficient between landslide susceptibility and sediment yield [18] as well.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A new technique for landslide mapping from a large-scale remote sensed image: A case study of Central Nepal

Chen

2017

Computers & Geosciences

View full text Add to dashboard Cite

This paper presents a new technique for landslide mapping from large-scale Landsat8 images. The method introduces saliency enhancement to enhance the landslide regions, making the landslides salient objects in the image. Morphological operations are applied to the enhanced image to remove most background objects. Afterwards, digital elevation model is applied to further remove the ground objects of plain areas according to the height of landscape, since most landslides occur in mountainous areas. Final landslides are extracted by the proposal regions from selective search. The study area covers 2°x2°, making it more similar with practical cases, such as emergency response and landslide inventory mappings. The proposed method performs satisfactorily by detecting 99.1% of the landslides in the image, and obtains an overall accuracy of 99.8% in the landslides/background classification problem, which gets further validated in another Landsat8 image of a different site.The experiment shows that the proposed method is feasible for landslide detection from large-scale area, which may contribute to the further landslide-related research.

show abstract

Section: Figure 8 Further Background Objects Re-movement By Demlandsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A new technique for landslide mapping from a large-scale remote sensed image: A case study of Central Nepal

Chen

2017

Computers & Geosciences

View full text Add to dashboard Cite

show abstract

“…From 2004 to 2010 a total of 47,736 earthquake-induced landslide (EQIL) casualties were reported (Kennedy et al, 2015;Petley, 2012). In addition, EQIL commonly have considerable indirect and long-term effects on society and infrastructure that intensify their overall damage (e.g., Shafique et al, 2016) such as blocked roads that hamper medical care (Marui & Nadim, 2009), floods from the failure of landslide dams, increased debrisflow activity (e.g., Shieh et al, 2009;Tang et al, 2016), and downstream river aggradation and associated flooding (e.g., Korup, 2006). that landslide distance limits differ between plate boundary earthquakes, which made up most of Keefer's (1984) data set, and intraplate earthquakes, where seismic wave attenuation is generally much lower.…”

Section: Introductionmentioning

confidence: 99%

Presentation and Analysis of a Worldwide Database of Earthquake‐Induced Landslide Inventories

et al. 2017

View full text Add to dashboard Cite

Earthquake‐induced landslide (EQIL) inventories are essential tools to extend our knowledge of the relationship between earthquakes and the landslides they can trigger. Regrettably, such inventories are difficult to generate and therefore scarce, and the available ones differ in terms of their quality and level of completeness. Moreover, access to existing EQIL inventories is currently difficult because there is no centralized database. To address these issues, we compiled EQIL inventories from around the globe based on an extensive literature study. The database contains information on 363 landslide‐triggering earthquakes and includes 66 digital landslide inventories. To make these data openly available, we created a repository to host the digital inventories that we have permission to redistribute through the U.S. Geological Survey ScienceBase platform. It can grow over time as more authors contribute their inventories. We analyze the distribution of EQIL events by time period and location, more specifically breaking down the distribution by continent, country, and mountain region. Additionally, we analyze frequency distributions of EQIL characteristics, such as the approximate area affected by landslides, total number of landslides, maximum distance from fault rupture zone, and distance from epicenter when the fault plane location is unknown. For the available digital EQIL inventories, we examine the underlying characteristics of landslide size, topographic slope, roughness, local relief, distance to streams, peak ground acceleration, peak ground velocity, and Modified Mercalli Intensity. Also, we present an evaluation system to help users assess the suitability of the available inventories for different types of EQIL studies and model development.

show abstract

“…Among these hazards, the most frequent and devastating are landslides which severely affected the only route connecting the province of Gilgit-Baltistan with China (Derbyshire et al 1996;). The frequent land-sliding in the region can be mainly related to the abundance of unconsolidated, highly weathered and fractured geological formations; well-developed rock discontinuities because of the active tectonics, frequent earthquakes, uncontrolled blasting for construction and repair of the roads, presence of the largest glaciers out of the polar regions, precarious locations of alluvial, lacustrine and moraine deposits; severe climatic conditions leading to rapid weathering, poor drainage conditions, scarcity of vegetation, high rates of erosion and anthropogenic activities on unstable slopes (Derbyshire et al 2001;Kamp et al 2008;Panzera et al 2015;Shafique et al 2016).…”

Section: Landslide Along Karakoram Highway (Kkh) Pakistanmentioning

confidence: 99%

An international program on Silk Road Disaster Risk Reduction–a Belt and Road initiative (2016–2020)

et al. 2018

Self Cite

View full text Add to dashboard Cite

show abstract

A review of the 2005 Kashmir earthquake-induced landslides; from a remote sensing prospective

Cited by 84 publications

References 87 publications

A new technique for landslide mapping from a large-scale remote sensed image: A case study of Central Nepal

A new technique for landslide mapping from a large-scale remote sensed image: A case study of Central Nepal

Presentation and Analysis of a Worldwide Database of Earthquake‐Induced Landslide Inventories

An international program on Silk Road Disaster Risk Reduction–a Belt and Road initiative (2016–2020)

Contact Info

Product

Resources

About