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The study focuses on the extraction of structural and geometrical information from Terrestrial Laser Scanning (TLS) data utilising a case study landslide, the Namling Landslide.
In this study, landslide inventory was mapped after detailed field investigation and interpretation from high-resolution imagery.
In this study landslide inventories were divided into landslide data for training and landslide data for validation.
Recently, GIS is becoming a powerful tool to study landslide susceptibility and hazard worldwide because of its analysis potential and capability.
In the present study landslide density in the susceptibility zones, prediction rate curves and the error matrix method have been used for assessment and the evaluation of LSZ maps (heuristic and statistical) with respect to each other.
The main scarps and landslide features are detected and analyzed based on the results of the DTM comparison Table 2 Extent and volume of the landslides occurred in the northern slope of Ricasoli during the period of study Landslide Occurrence Extent (m2) Extimate Volume (m3) Landslide1 01/03/2016 950 4809/03/2016e2 09/0320016 320 70.
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Therefore, we collected the existing inventory spatial distribution of landslides data, Google Earth's images, LiDAR point clouds, and ASTER data to study landslides probability prediction of the Alborz Mountains in Iran.
Swiss scientists are studying landslides to determine which ones may have been caused by melting permafrost.
The studied landslides occurred only on deforested, grassland-covered hillslopes, and not in adjacent forested areas.
In this situation, the use of small scale aerial photograph together with the satellite images has significant role while studying landslides.
For these studied landslides, the failure planes occurred either along the contacts between the fluvial deposits and the Neogene argillites or partially within the bedrock.
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