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You are browsing the archive for Landslides Mudslides.

28 October 2021

The 21 July 2020 Shaziba landslide at Mazhe Village in Enshi, China

A new paper in the journal landslides uses InSAR data to show that the 21 July 2020 Shaziba landslide in Enshi, China was creeping in the years before the major failure

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1 October 2021

Using InSAR to create a landslide inventory for the Pacific Northwest

A new paper in the journal Landslides presents a new inventory of slow-moving landslides for the Pacific Northwest, derived from InSAR. 617 active landslides that had not previously been identified were mapped.

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8 April 2021

InSAR as a wide area landslide detection tool

Shuicheng County in Guizhou Province in China: InSAR as a wide area landslide detection tool

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26 May 2020

Punatsangchhu I: identifying ancient landslides in high mountain areas

A new paper published in Scientific Reports (Dini et al. 2020), and thus open access, uses InSAR to show movements of a large slope adjacent to the under construction Punatsangchhu I dam in Bhutan

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12 May 2020

The Váráš rock slope deformation in northern Norway

The Váráš rock slope deformation in Troms County in northern Norway, a 70 million cubic metre, 100 m deep creeping landslide.

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22 April 2020

Zongling: an area of intense landslide activity in Guizhou Province, China

Zongling: a new open access paper (Wang et al. 2020) in the Journal Landslides describes a new InSAR method to monitor landslide movement caused by coal mining in Guizhou Province, China

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13 February 2019

Pre-failure movement analysis of the Su Village (Sucun) landslide in China

A new paper published in Landslides examines movement of the Su Village (Sucun) landslide in China, which killed 27 people in 2016, using InSAR techniques

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22 November 2018

Pre-failure analysis of the Fagraskogarfjall landslide

NPA Satellite Mapping have completed a pre-failure analysis of the Fagraskogarfjall landslide in Iceland using InSAR data. Up to 2 metres of movement occurred in the year before the main collapse.

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8 February 2018

Predicting failure using ground-based radar and INSAR

In a new paper in Engineering Geology, Carla et al (2018) demonstrate how a combination of ground-based radar and INSAR could have been used to predict a major landslide in a copper mine

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17 November 2017

Detecting landslide precursors from space

Review of a paper:- detecting landslide precursors from space: the use of Sentinel images to interpret the Maoxian landslide in June 2017

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