Sentence examples for landslide point from inspiring English sources

Georeferenced landslide point cloud delivered from images was compared with data acquired from ALS (DEM derived in the post processing form the ALS was 1 m resolution) at the same profile position (Fig. 6).

ROC curves were drawn for the best result for LSM using a landslide inventory containing 82 landslide points, with an area under curve of 0.889.

In this paper, we present the Fuzzy c-means (FCM) algorithm as an optimal method for choosing the appropriate input landslide points as training data.

After that, experts in earthquakes and geo-hazards were called upon to visually interpret the base map according to their experiences, knowledge as well as previously identified landslide points.

A total of 2520 landslide points were assigned the value of 1, while the same amount of negative points were assigned the value of 0. In SVM modelling, the input of controlling factors should be as a vector of real numbers.

The frequency ratio raster maps of landslide causal factors with landslide and non-landslide points was extracted using ArcGIS tool and saved into dbf format.

In this study, the raster maps of the frequency ratio values for the eight landslide factors were extracted with landslide and non-landslide points.

For prediction purpose the landslide susceptibility index maps were extracted with landslide and non-landslide points and then analyzed using SPSS statistical software so as to check the overall statistics, receiving operating characteristics (ROC) curves and area under the curve (AUC) values.

The landslide 3D point cloud was derived using Structure-from-Motion (SfM) photogrammetry.

The test locations were located above the main scarp of the shallow landslide, near point A in Fig. 8b.

For example, we noted the 2012 land use and slope angle for each landslide event point location.