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Additional info for [Article] Semi-Supervised Kernel Mean Shift Clustering
E. Eyo et al. Fig. 7 Filtered and unfiltered observations for Northing components Fig. 8 Filtered and unfiltered observations for Easting components Fig. 9 Filtered and unfiltered observations for Height components (Fig. 003 and decrease exponentially until at time lag 300 s when the autocorrelation of the observations is not so obvious. In the correlogram of Height (Fig. 003 and decrease exponentially until at time lag 200 s when the autocorrelation of the observations is not so obvious. These deviations show that the GPS measurements contain white and coloured noises.
Ann Math Stat 39:957–966 Devkota K et al (2013) Landslide susceptibility mapping using certainty factor, index of entropy and logistic regression models in GIS and their comparison at Mugling-Narayanghat road section in Nepal Himalaya. Nat Hazards 65:135–165 Evett SR, Tolk JA, Howell TA (2006) Soil profile water content determination: sensor accuracy, axial response, calibration, temperature dependence, and precision. Vadose Zone J 5:894 Jarman D (2006) Large rock slope failures in the Highlands of Scotland: characterisation, causes and spatial distribution.
Also, the deforestation activity play some role in destabilizing the slopes (Evett et al. 2006). More about geological and geomorphological characteristics of the study area can be seen in Althuwaynee et al. (2012a, b). 3 Data Since this is a follow-up article to (Althuwaynee et al. 2012a, b), therefore the basic data and other characteristics of the study area can be referred to those aforementioned articles. The landslide inventory consists of 219 landslides, was collected over the past 25 years mainly by using remote sensing sources: • An archived 1:5000–1:50,000 aerial photos, SPOT 5 panchromatic satellite image and archived landslide location map and previous reports.