Early Detection of Spots High Water Saturation for Landslide Prediction Using Thermal Imaging Analysis

Zin, Abdullah Asuhaimi Mohd; Hawari, Kamarul; Khamisan, Norliana

doi:10.7763/ijesd.2016.v7.738

Cited by 4 publications

(3 citation statements)

References 8 publications

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“…Cara ini memantau kondisi tanah dari bagian atas, sedangkan kondisi tanah bagian dalam cenderung tidak terpantau. Pemanfaatan sinyal geophone dalam [9] dan analisis termal dalam [10] juga telah dilakukan, namun metode-metode ini justru mendapatkan masukan data untuk diproses ketika saat terjadi atau sekilas sebelum terjadinya tanah longsor. Ishihara dkk.…”

Section: Pendahuluanunclassified

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Landslide monitoring system based on water adsorption rate utilizing humidity, accelerometer, and temperature sensors

Budiman

Susanto

Perdana

et al. 2020

Jurnal Teknologi dan Sistem Komputer

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This study examines the application of a landslide disaster monitoring system based on soil activity information that utilizes humidity, temperature, and accelerometer sensors. An artificial highland was built as the research object, and the landslide process was triggered by supplying the system with continuous artificial rainfall. The soil activities were observed through its slope movement, temperature, and moisture content, utilizing an accelerometer, temperature, and humidity sensors both in dry and wet conditions. The system could well observe the soil activities, and the obtained data could be accessed in real-time and online mode on a website. The time delay in sending the data to the server was 2 seconds. Moreover, the characteristics of soil porosity and its relevance to soil saturation level due to water pressure were studied as well. Kinetic study showed that the water adsorption to soil followed the intraparticle diffusion model with a coefficient of determination R2 0.99043. The system prototype should be used to build the information center of disaster mitigation, particularly in Indonesia.

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Section: Pendahuluanunclassified

“…A B C D E Sistem informasi geografis [7], [8] x x √ √ x Citra satelit [9] x √ √ x √ Sinyal geophone [10] √ x x x √ Analisis termal [11] √ √ √ √ √ Penjadwalan [12] x x √ x x Pemantauan keadaan tanah √ √ √ √ √…”

Section: Metodeunclassified

Landslide monitoring system based on water adsorption rate utilizing humidity, accelerometer, and temperature sensors

Budiman

Susanto

Perdana

et al. 2020

Jurnal Teknologi dan Sistem Komputer

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“…Multi-field information is very important in understanding the deformation characteristics of a landslide. Over the last decade, some new technologies have been developed to monitor landslide deformation, such as GB-InSAR, TLS, IRT, digital photogrammetry (DP), and so on (Nicola et al, 2010;Del Ventisette et al, 2011;Bardi et al, 2014;Crosetto et al, 2016;Zin et al, 2016;Casagli et al, 2017;Li et al, 2020;Zhou et al, 2020), and have achieved remarkable achievements in monitoring, prediction, and early warning of the landslides (Xu et al, 2016;Piciullo et al, 2018;Ouyang et al, 2019). Those technologies are characterized by more efficient operation and higher accuracy of monitoring data, compared with traditional monitoring sensors: offering high-resolution image data acquisition, data diversity, device portability, and easy and fast data processing (Casagli et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

Emergency Survey and Stability Analysis of a Rainfall-Induced Soil-Rock Mixture Landslide at Chongqing City, China

Zhou

Ai²,

Huang³

et al. 2021

Front. Earth Sci.

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The stability analysis of damaged landslides and unstable debris is important for rescue work and emergency operations. This paper investigates a predisposed geological emergence, inducing the factors and deformation processes of the Zhongbao landslide, which happened on July 25, 2020. The stability of the landslide debris was evaluated by an integrated monitoring system consisting of ground-based radar, unmanned aerial vehicles, airborne Lidar, thermal infrared temperature monitoring, GNSS displacement monitoring, deep displacement monitoring, and rainfall monitoring. The strata and weak layer controlled the landslide failure, and topography defined the boundary of the failed rock mass. A continually intensive rainfall caused the deformation and accelerated failure of the landslide. The shallow and steep deposit (Part I) firstly slid at a high velocity, and then pushed the rear part of the landslide (Part II) to deform, forming numerous cracks, which accelerated the rainfall infiltrating into the rock mass. The moisture content increase could decrease the strength of the shale rock within the bedding planes. Finally, with the rock and soil mass sliding along the weak layer, a barrier dam and a barrier lake were formed. The monitoring and numerical simulation results showed that after the landslide failure, there was still local collapse and deformation occurrences which threatened rescue work and barrier lake excavation, and the stability of the accumulation area gradually decreased as the rainfall increased. Therefore, the barrier dam was not excavated until the accumulation rate gradually stabilized on July 28. Moreover, most of the reactivated deposits still accumulated in the transportation and source areas. Thus, in August, the displacement of the landslide debris gradually accelerated in a stepwise manner, and responded strongly to rainfall, especially in the accumulation area, so that it was inferred that the damaged landslide could slide again and cause a more threatening and severe failure. The analysis results of the study area can provide references for the failure mechanism of a rainfall-induced landslide and the stability evaluation of a damaged landslide.

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Monitoring and Stability Evaluation of the Damaged Landslide Based on Multiple Monitoring Technologies

Huang

Zhou

Xu³

et al. 2021

Preprint

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The stability evaluation of the damaged landslide is important for rescue work and emergency operation. This paper investigated a predisposing geological emergence, inducing the factors and deformation processes of the Zhongbao landslide, which happened on 25 July 2020. The stability of the damaged landslide was evaluated by an integrated monitoring system consisting of ground-based radar, unmanned aerial vehicles, airborne Lidar, thermal infrared temperature monitoring, GNSS displacement monitoring, deep displacement monitoring and rainfall monitoring. The strata and weak layer controlled the landslide failure, and topography defined the boundary of the failed rock mass. A continually intensive rainfall caused the deformation and accelerated failure of the landslide. The shallow and steep deposit (Part I) firstly slid at a high velocity, and then pushed the rear part of the landslide (Part II) to deform, forming numerous cracks, and the rainfall infiltrated into the rock mass. Finally, the rock and soil mass sliding along the weak layer, a barrier dam and a barrier lake were formed. The monitoring results showed that after the landslide failure, there were still local collapse and deformation occurrence which threatened rescue work and barrier lake excavation. Therefore, the barrier dam wasn’t excavated until the accumulation rate gradually stabilized on July 28. Moreover, most of the reactivated deposits still accumulated in the transportation and source areas. Thus, in August, the displacement of the damaged landslide gradually accelerated in a stepwise manner, and responded strongly to rainfall, especially in the accumulation area, so that it was inferred that the damaged landslide could slide again and caused a more threatening and severe failure. The analysis results of the study area can provide references for the failure mechanism of a rainfall-induced landslide and the stability evaluation of a damaged landslide.

show abstract

Early Detection of Spots High Water Saturation for Landslide Prediction Using Thermal Imaging Analysis

Cited by 4 publications

References 8 publications

Landslide monitoring system based on water adsorption rate utilizing humidity, accelerometer, and temperature sensors

Landslide monitoring system based on water adsorption rate utilizing humidity, accelerometer, and temperature sensors

Emergency Survey and Stability Analysis of a Rainfall-Induced Soil-Rock Mixture Landslide at Chongqing City, China

Monitoring and Stability Evaluation of the Damaged Landslide Based on Multiple Monitoring Technologies

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