On the spatial relationship between landslides and causative factors on Lantau Island, Hong Kong

Zhou, Chenghu; Lee, C.F; Li, J; Xu, Zhiqiang

doi:10.1016/s0169-555x(01)00130-1

Cited by 181 publications

(111 citation statements)

References 17 publications

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“…Previous studies indicated that landslides triggered by heavy rainfalls in the mountainous regions seemed to have strong correlations with topographic factors (Ayalew and Yamagishi, 2005;Ohlmacher and Davis, 2003;Zhou et al, 2002). In this study, spatial analysis was also carried out on the identified landslides and topographic factors derived from DEM.…”

Section: Resultsmentioning

confidence: 95%

“…Previous studies (Ayalew and Yamagishi, 2005;Zhou et al, 2002) indicated that slope gradient has a more significant contribution than other topographic factors in landslides. In this study, spatial analysis was also performed on the landslides and slope gradients of sub-watersheds in the study site.…”

Section: Resultsmentioning

confidence: 95%

“…The analysis was carried out in a GIS (Geographic Information Systems) system. Previous studies suggested spatial analysis of landslides on topographic, geological and land-use factors (Ayalew and Yamagishi, 2005;Lee et al, 2009;Ohlmacher and Davis, 2003;Zhou et al, 2002). In this research, due to the lack of adequate geological data and the simple land-use type (forest) of the study site, the focus of spatial analysis was placed on statistical characteristics of detected landslides and their relationship with topographic factors.…”

Section: Spatial Analysis and Statisticsmentioning

confidence: 96%

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Post-disaster assessment of landslides in southern Taiwan after 2009 Typhoon Morakot using remote sensing and spatial analysis

Tsai

Hwang

Chen

et al. 2010

Nat. Hazards Earth Syst. Sci.

104

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Abstract. On 8 August 2009, the extreme rainfall of Typhoon Morakot triggered enormous landslides in mountainous regions of southern Taiwan, causing catastrophic infrastructure and property damages and human casualties. A comprehensive evaluation of the landslides is essential for the post-disaster reconstruction and should be helpful for future hazard mitigation. This paper presents a systematic approach to utilize multi-temporal satellite images and other geo-spatial data for the post-disaster assessment of landslides on a regional scale. Rigorous orthorectification and radiometric correction procedures were applied to the satellite images. Landslides were identified with NDVI filtering, change detection analysis and interactive post-analysis editing to produce an accurate landslide map. Spatial analysis was performed to obtain statistical characteristics of the identified landslides and their relationship with topographical factors. A total of 9333 landslides (22 590 ha) was detected from change detection analysis of satellite images. Most of the detected landslides are smaller than 10 ha. Less than 5% of them are larger than 10 ha but together they constitute more than 45% of the total landslide area. Spatial analysis of the detected landslides indicates that most of them have average elevations between 500 m to 2000 m and with average slope gradients between 20 • and 40 • . In addition, a particularly devastating landslide whose debris flow destroyed a riverside village was examined in depth for detailed investigation. The volume of this slide is estimated to be more than 2.6 million m 3 with an average depth of 40 m.

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Section: Resultsmentioning

confidence: 95%

Section: Resultsmentioning

confidence: 95%

Section: Spatial Analysis and Statisticsmentioning

confidence: 96%

See 1 more Smart Citation

Post-disaster assessment of landslides in southern Taiwan after 2009 Typhoon Morakot using remote sensing and spatial analysis

Tsai

Hwang

Chen

et al. 2010

Nat. Hazards Earth Syst. Sci.

104

View full text Add to dashboard Cite

show abstract

“…Subtropical and monsoonal climate with hot and humid summers but mild and dry winters are the norm. The mean annual rainfall reaches about 2,400 mm, approximately 80% of which falls during the rainy season from May to September [34]. Rainfall is heavy and occasionally intense during rainstorms and typhoons in the summer season.…”

Section: Study Site and Geological Settingmentioning

confidence: 99%

Slope Superficial Displacement Monitoring by Small Baseline SAR Interferometry Using Data from L-band ALOS PALSAR and X-band TerraSAR: A Case Study of Hong Kong, China

Chen

Lin

2014

Remote Sensing

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Abstract:Owing to the development of spaceborne synthetic aperture radar (SAR) platforms, and in particular the increase in the availability of multi-source (multi-band and multi-resolution) data, it is now feasible to design a surface displacement monitoring application using multi-temporal SAR interferometry (MT-InSAR). Landslides have high socio-economic impacts in many countries because of potential geo-hazards and heavy casualties. In this study, taking into account the merits of ALOS PALSAR (L-band, good coherence preservation) and TerraSAR (X-band, high resolution and short revisit times) data, we applied an improved small baseline InSAR (SB-InSAR) with 3-D phase unwrapping approach, to monitor slope superficial displacement in Hong Kong, China, a mountainous subtropical zone city influenced by over-urbanization and heavy monsoonal rains. Results revealed that the synergistic use of PALSAR and TerraSAR data produces different outcomes in relation to data reliability and spatial-temporal resolution, and hence could be of significant value for a comprehensive understanding and monitoring of unstable slopes.

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“…Recently, there have been studies on landslidehazard evaluation using GIS, and many of these studies have applied probabilistic models (Akgun et al 2007;Dahal et al 2007;Clerici et al 2006;Cevik and Topal 2003;Rowbotham and Dudycha 1998;Jibson et al 2000;Luzi et al 2000;Parise and Jibson 2000;Baeza and Corominas 2001;Clerici et al 2002;Donati and Turrini 2002;Zhou et al 2002;Lee et al 2004b). One of the statistical models available, the logistic regression models, has also been applied to landslide-hazard mapping (Tunusluoglu et al 2007;Lamelas et al 2008;Wang and Sassa 2005;Süzen and Doyuran 2004;Dai and Lee 2002;Ohlmacher and Davis 2003;Mansor et al 2007;Pradhan et al 2006, as has the geotechnical model and the safety factor model (Gokceoglu et al 2000;Romeo 2000;Refice and Capolongo 2002;Carro et al 2003;Shou and Wang 2003;Zhou et al 2003, Lee 2007.…”

Section: Introductionmentioning

confidence: 99%

Use of geospatial data and fuzzy algebraic operators to landslide-hazard mapping

2009

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Geospatial data base creation for landslidehazard mapping is often an almost inhibitive activity. This has been the reason that for quite some time landslidehazard analysis was modeled on the basis of spatially related factors. This paper presents the use of fuzzy logic to landslide-hazard analysis in the Penang Island, Malaysia, using remote sensing data and a geographic information system (GIS). To achieve the goal, a data-derived model (frequency ratio) and a knowledge-derived model (fuzzy operator) were combined for landslide-hazard analysis. Landslide locations within the study areas were identified by interpreting aerial photographs, satellite images and field surveys. The nine factors that influence landslide occurrence were extracted from the database and the frequency ratio coefficient for each factor was computed. Using the factors and the identified landslide, the fuzzy membership values were calculated. Then fuzzy algebraic operators were applied to the fuzzy membership values for landslidehazard mapping. Finally, the produced map was verified by comparing with existing landslide locations for calculating prediction accuracy. Among the fuzzy operators, in the case in which the gamma operator (λ=0.8) showed the best accuracy (80%) while the case in which the fuzzy or operator was applied showed the worst accuracy (56%).

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On the spatial relationship between landslides and causative factors on Lantau Island, Hong Kong

Cited by 181 publications

References 17 publications

Post-disaster assessment of landslides in southern Taiwan after 2009 Typhoon Morakot using remote sensing and spatial analysis

Post-disaster assessment of landslides in southern Taiwan after 2009 Typhoon Morakot using remote sensing and spatial analysis

Slope Superficial Displacement Monitoring by Small Baseline SAR Interferometry Using Data from L-band ALOS PALSAR and X-band TerraSAR: A Case Study of Hong Kong, China

Use of geospatial data and fuzzy algebraic operators to landslide-hazard mapping

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