The Geomorphometry of Rainfall-Induced Landslides in Alishan Area Obtained by Airborne Lidar and Digital Photography

Liu, Jin-King; Shih, Tian‐Yuan; Liao, Zu-Yi; Lau, Chi-Chung; Hsu, Pai-Hui

doi:10.1109/igarss.2008.4779221

Cited by 8 publications

(7 citation statements)

References 3 publications

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“…All polygons smaller than 100 m 2 are filtered out to avoid spurious features. While there are only a few omission errors, the commission error of landslide classification based solely on spectral images can be as high as 80% [12]. In order to reduce commission error, the landslide polygon map is overlaid with an orthophoto.…”

Section: The Generation Of Reference Data For Evaluationmentioning

confidence: 99%

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Topographic Correction of Wind-Driven Rainfall for Landslide Analysis in Central Taiwan with Validation from Aerial and Satellite Optical Images

Liu

Shih

2013

Remote Sensing

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Abstract:Rainfall intensity plays an important role in landslide prediction especially in mountain areas. However, the rainfall intensity of a location is usually interpolated from rainfall recorded at nearby gauges without considering any possible effects of topographic slopes. In order to obtain reliable rainfall intensity for disaster mitigation, this study proposes a rainfall-vector projection method for topographic-corrected rainfall. The topographic-corrected rainfall is derived from wind speed, terminal velocity of raindrops, and topographical factors from digital terrain model. In addition, scatter plot was used to present landslide distribution with two triggering factors and kernel density analysis is adopted to enhance the perception of the distribution. Numerical analysis is conducted for a historic event, typhoon Mindulle, which occurred in 2004, in a location in central Taiwan. The largest correction reaches 11%, which indicates that topographic correction is significant. The corrected rainfall distribution is then applied to the analysis of landslide triggering factors. The result with corrected rainfall distribution provides better agreement with the actual landslide occurrence than the result without correction.

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Section: The Generation Of Reference Data For Evaluationmentioning

confidence: 99%

“…These physiographic settings make Taiwan a fragile land, especially vulnerable to rainfall-induced landslides. As an example, 106 landslides with an area of 1,290,745 m 2 were observed and reported in the Alishan watershed with total area of 36 km 2 [12]. About 4% of this area is covered by landslides.…”

Section: Introductionmentioning

confidence: 99%

Topographic Correction of Wind-Driven Rainfall for Landslide Analysis in Central Taiwan with Validation from Aerial and Satellite Optical Images

Liu

Shih

2013

Remote Sensing

Self Cite

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“…As P p (A) is in proportion to p, let P pu = α, then formula (12) is fulfilled. Let p = P u , then K can be obtained from formula (10).…”

Section: Slope Estimation Based On Range Finder With Various Diffusiomentioning

confidence: 99%

“…Let P p (A) denote the probability of A with p given. Then formulas (10) to (12) can be induced where C j n denotes the extraction of j samples from n samples.…”

Section: Slope Estimation Based On Range Finder With Various Diffusiomentioning

confidence: 99%

“…This approach classifies the terrain into five types, but expensive depth sensing and much computational resources are required. [10] proposed a survey of the distribution of slope angles in the Alishan area using airborne Lidar and aerial digital camera. [20] proposed a novel approach for obstacle detection using optical flow without recovering range information.…”

Section: Introductionmentioning

confidence: 99%

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A Rapid Recognition of Impassable Terrain for Mobile Robots with Low Cost Range Finder Based on Hypotheses Testing Theory

Gao

Liu

et al. 2017

INT J COMPUT COMMUN

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The recognition of impassable terrain plays a vital role in the motion planning of a mobile robot, which generally relies on expensive sensors such as stereo vision cameras. This paper proposes a rapid impassable terrain recognition algorithm based on hypotheses testing theory using low-cost range finders with different diffusion angles. In this algorithm, a slope estimation model using two range finders mounted on different heights is first established, where the influence of the diffusion angle of the range sensor is considered. To deal with inaccurate measuring from low cost range finders, the hypothesis testing theory is then applied to judge whether there is an impassible terrain approaching, where the historical slope estimation results are treated as a sample set of the same slope, and the judgement of impassible terrain is then made based on the sampling set rather than the concurrent slope estimation. So the robot is only required to count the number of slope estimation that support the determination of a terrain as being impassible, and the judgement is confirmed only when that number is larger than a precisely designed threshold value. Then the stable recognition for impassable terrain would be acquired while the risk of wrong judgement is limited. The experiments' results indicate that this algorithm can provide a reliable recognition of impassable terrain using lower cost range finders with different diffusion angles with minimal computation.

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Reactivated Wuwanchai landslide area monitoring and analysis

Chen

Wang

Chen

2022

Bull Eng Geol Environ

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The Geomorphometry of Rainfall-Induced Landslides in Alishan Area Obtained by Airborne Lidar and Digital Photography

Cited by 8 publications

References 3 publications

Topographic Correction of Wind-Driven Rainfall for Landslide Analysis in Central Taiwan with Validation from Aerial and Satellite Optical Images

Topographic Correction of Wind-Driven Rainfall for Landslide Analysis in Central Taiwan with Validation from Aerial and Satellite Optical Images

A Rapid Recognition of Impassable Terrain for Mobile Robots with Low Cost Range Finder Based on Hypotheses Testing Theory

Reactivated Wuwanchai landslide area monitoring and analysis

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