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Topography factor (slope) is obtained by DEM in degree for 2013.
Intercept factor, slope error and displacement error has been identified and analyzed.
For the slope factor, slope angle in the range of 20 30 % has the highest Bel and the lowest Dis values indicating the highest probability of contamination, followed by slope range of 0 2%% and then of 8 12%%.
The modelling process is based on a training set of landslides (70% of total landslides) and a set of controlling factor (slope, lithology, surficial formation, the topographic wetness index, the topographic position index, distance to thalweg, and aspect).
Table 2 Criteria for new settlement development Factor/criteria Type Proximity to existing urban areas Planning factor (compact development) Proximity to major roads and train lines Transport factor Distance from environmentally valuable and vulnerable areas or from protected areas Environmental factor Proximity to water (lakes and rivers) Attractiveness factor Slope gradient Physical factor.
Until the mid-1990s, a major limitation of using the Universal Soil Loss Equation and Revised Universal Soil Loss Equation erosion models at regional landscape scales was the difficulty in estimating LS factor (slope length and steepness) values suitable for use in geographic information systems applications.
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Equation (1) indicates that earthquake-induced landslides are caused by a combination of external factors (earthquakes, rainfall) and internal factors (slope height, lithology, and slope angle).
Data on abiotic factors (slope, solar irradiation, bedrock) and landscape structure (distance from relevé to the nearest road, settlement and habitat edge) were obtained from digital maps.
For instance, the combination from seven landslide factors (except distance from river) and the combination from four landslide factors (slope, lithology, land use and distance from lineament) showed the same prediction accuracy of 87.7%.
Database construction for landslide factors (slope, aspect, profile curvature, plan curvature, lithology, land use, distance from lineament & distance from river) and landslide inventory map is an important step in landslide susceptibility modelling.
The respective roles of bio-physical factors (slope and elevation) and farm socio-economic factors (farmland spatial pattern, land-tenure system) on land-use change at parcel level have also been investigated.
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