Satellite Remote Sensing Applications for Landslide Detection and Monitoring

Singhroy, V.

doi:10.1007/978-3-540-69970-5_7

Cited by 34 publications

(17 citation statements)

References 14 publications

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“…Regions with dense vegetation and wet areas, however, may require the need to install corner reflectors as coherent points, especially in steep mountain area. Ten InSAR corner reflectors were set up in the May of 2007, among them, eight at the Jiaju landslide and two at the bedrock nearby (Singhroy V 2008).…”

Section: Monitoring Results Of Insar In the Jiaju Landslidementioning

confidence: 99%

Integration of GPS with InSAR to monitoring of the Jiaju landslide in Sichuan, China

et al. 2010

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Section: Monitoring Results Of Insar In the Jiaju Landslidementioning

confidence: 99%

Integration of GPS with InSAR to monitoring of the Jiaju landslide in Sichuan, China

et al. 2010

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“…The two major remote sensing techniques that are exponentially developing in landslides investigation are interferometric synthetic aperture radar (InSAR) (Fruneau et al 1996;Colesanti et al 2003;Squarzoni et al 2003), and light detection and ranging (LIDAR) (Carter et al 2001;Slob et al 2002;Haugerud et al 2003;Slob and Hack 2004). InSAR techniques are usually ground-based (Stow 1996;Tarchi et al 2003) or satellite-based (Carnec et al 1996;Singhroy 2009), and only rarely airborne. InSAR techniques are mainly dedicated to the detection and the quantification of small displacements over large areas.…”

Section: Introductionmentioning

confidence: 99%

Use of LIDAR in landslide investigations: a review

et al. 2010

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This paper presents a short history of the appraisal of laser scanner technologies in geosciences used for imaging relief by high-resolution digital elevation models (HRDEMs) or 3D models. A general overview of light detection and ranging (LIDAR) techniques applied to landslides is given, followed by a review of different applications of LIDAR for landslide, rockfall and debris-flow. These applications are classified as: (1) Detection and characterization of mass movements; (2) Hazard assessment and susceptibility mapping; (3) Modelling; (4) Monitoring. This review emphasizes how LIDARderived HRDEMs can be used to investigate any type of landslides. It is clear that such HRDEMs are not yet a common tool for landslides investigations, but this technique has opened new domains of applications that still have to be developed.

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“…Recently, high-resolution data products available from Indian remote sensing satellites such as Resourcesat-1 and 2, Cartosat-1 and 2, and other satellites such as SPOT, Quickbird, IKONOS, Geo Eye and World view can be used for continuous monitoring of landslides (Hervása et al 2003;Singhroy 2008). Therefore, in the present study, an attempt was made to use high-resolution satellite images (Table 2) from Indian remote sensing satellites for landslide mapping and derive landslide causative factor maps.…”

Section: Introductionmentioning

confidence: 99%

Spatial prediction of landslide susceptibility in parts of Garhwal Himalaya, India, using the weight of evidence modelling

Guri

Ray

Patel

2015

Environ Monit Assess

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Garhwal Himalaya in northern India has emerged as one of the most prominent hot spots of landslide occurrences in the Himalaya mainly due to geological causes related to mountain building processes, steep topography and frequent occurrences of extreme precipitation events. As this region has many pilgrimage and tourist centres, it is visited by hundreds of thousands of people every year, and in the recent past, there has been rapid development to provide adequate roads and building infrastructure. Additionally, attempts are also made to harness hydropower by constructing tunnels, dams and reservoirs and thus altering vulnerable slopes at many places. As a result, the overall risk due to landslide hazards has increased many folds and, therefore, an attempt was made to assess landslide susceptibility using 'Weights of Evidence (WofE)', a well-known bivariate statistical modelling technique implemented in a much improved way using remote sensing and Geographic Information System. This methodology has dual advantage as it demonstrates how to derive critical parameters related to geology, geomorphology, slope, land use and most importantly temporal landslide distribution in one of the data scarce region of the world. Secondly, it allows to experiment with various combination of parameters to assess their cumulative effect on landslides. In total, 15 parameters related to geology, geomorphology, terrain, hydrology and anthropogenic factors and 2 different landslide inventories (prior to 2007 and 2008-2011) were prepared from high-resolution Indian remote sensing satellite data (Cartosat-1 and Resourcesat-1) and were validated by field investigation. Several combinations of parameters were carried out using WofE modelling, and finally using best combination of eight parameters, 76.5 % of overall landslides were predicted in 24 % of the total area susceptible to landslide occurrences. The study has highlighted that using such methodology landslide susceptibility assessment can be carried out in vast stretches of Himalaya in short time in order to assess the impact of development as well as climate change/variability. The resultant map can play a critical role in selecting areas for remedial measures for slope stabilisation as well planning for future development of the region.

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Satellite Remote Sensing Applications for Landslide Detection and Monitoring

Cited by 34 publications

References 14 publications

Integration of GPS with InSAR to monitoring of the Jiaju landslide in Sichuan, China

Integration of GPS with InSAR to monitoring of the Jiaju landslide in Sichuan, China

Use of LIDAR in landslide investigations: a review

Spatial prediction of landslide susceptibility in parts of Garhwal Himalaya, India, using the weight of evidence modelling

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