Detection of tropical landslides using airborne lidar data and multi imagery: A case study in genting highland, pahang

Khamsin, I; Zulkarnain, Muhammad; Razak, Khamarrul Azahari; Rizal, Sofian

doi:10.1088/1755-1315/18/1/012033

Cited by 3 publications

(1 citation statement)

References 3 publications

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“…The authors in [7] studied automatic recognition of landslide crowns and features related to bank erosion of channels. A better insight into airborne laser scanning data (ALS) was provided by [8]. The authors in [9] proposed a landslide detection procedure in forested area using aspect, digital terrain model (DTM) and slope images.…”

Section: Introductionmentioning

confidence: 99%

A New Segmentation Method for Rotational Landslide Detection Using Outlier Detection

Çelik

2019

Teh. vjesn.

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A new segmentation method for detection of rotational landslides from two epochs of Light Detection and Ranging System data (LiDAR) was developed. The developed method is based on outlier detection using Z scores of standard normal distribution. In this method, outlying height differences were obtained from two epochs of LiDAR data. The height differences were determined for each i th point uniquely by gridding the area along the steepest slope direction. Then, each profile containing the outlying height differences was tested for conformity to a possible rotational landslide and grouped into horizontal sets. Finally, the procedure was applied to horizontally grouped sets in the direction perpendicular to the steepest slope to determine each rotational landslide. To test the developed method, the area containing five different sizes of rotational landslides was scanned by the developed method. The results showed that the developed method segmented the area successfully identifying each rotational landslide.

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Section: Introductionmentioning

confidence: 99%

A New Segmentation Method for Rotational Landslide Detection Using Outlier Detection

Çelik

2019

Teh. vjesn.

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Trend of LiDAR utilization in disaster resilience: A literature review

Rohmah,

Mushfiroh,

Gamal

2024

AIP Conference Proceedings

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Laser vision: lidar as a transformative tool to advance critical zone science

Harpold¹,

Marshall²,

Lyon³

et al. 2015

Preprint

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Abstract. Laser vision: lidar as a transformative tool to advance critical zone science. Observation and quantification of the Earth surface is undergoing a revolutionary change due to the increased spatial resolution and extent afforded by light detection and ranging (lidar) technology. As a consequence, lidar-derived information has led to fundamental discoveries within the individual disciplines of geomorphology, hydrology, and ecology. These disciplines form the cornerstones of Critical Zone (CZ) science, where researchers study how interactions among the geosphere, hydrosphere, and ecosphere shape and maintain the "zone of life", extending from the groundwater to the vegetation canopy. Lidar holds promise as a transdisciplinary CZ research tool by simultaneously allowing for quantification of topographic, vegetative, and hydrological data. Researchers are just beginning to utilize lidar datasets to answer synergistic questions in CZ science, such as how landforms and soils develop in space and time as a function of the local climate, biota, hydrologic properties, and lithology. This review's objective is to demonstrate the transformative potential of lidar by critically assessing both challenges and opportunities for transdisciplinary lidar applications. A review of 147 peer-reviewed studies utilizing lidar showed that 38 % of the studies were focused in geomorphology, 18 % in hydrology, 32 % in ecology, and the remaining 12 % have an interdisciplinary focus. We find that using lidar to its full potential will require numerous advances across CZ applications, including new and more powerful open-source processing tools, exploiting new lidar acquisition technologies, and improved integration with physically-based models and complementary in situ and remote-sensing observations. We provide a five-year vision to utilize and advocate for the expanded use of lidar datasets to benefit CZ science applications.

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Detection of tropical landslides using airborne lidar data and multi imagery: A case study in genting highland, pahang

Cited by 3 publications

References 3 publications

A New Segmentation Method for Rotational Landslide Detection Using Outlier Detection

A New Segmentation Method for Rotational Landslide Detection Using Outlier Detection

Trend of LiDAR utilization in disaster resilience: A literature review

Laser vision: lidar as a transformative tool to advance critical zone science

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