Abstract
Identification and mapping of landslide is essential for landslide risk and hazard assessment. This paper gives information on the uses of landsat imagery for mapping landslide areas ranging in size from safe area to highly prone areas. Landslide mitigation largely depends on the understanding of the nature of the factors namely: slope, soil type, lineament, lineament density, elevation, rainfall and vegetation. These factors have direct bearing on the occurrence of landslide. Identification of these factors is of paramount importance in setting out appropriate and strategic landslides control measures. Images for this study was downloaded by using remote sensing with landsat 8 ETM and aerial photos using ArcGIS 10.7 and Surfer 8 software, while Digital Elevation Model (DEM) and Google EarthPro TM were used to produce slope, drainage, lineament and elevation. From the processed landsat 8 imagery, landslide susceptibility map was produced, and landslide was category into various class; low, medium and high. From the study, it was observed that Enugu and Anambra state ranges from high to medium in terms of landslide susceptibility, Imo state ranges from medium to low.
Highlights
Landslides (LS) is one of the most dangerous geological phenomena that poses danger to modern developed societies, due to their close connection to human and property losses and economic impact on the regional economy
This is followed by Anoacha, Orumba North and Aguata in Anambra state which shows a moderate susceptibility level to landslide occurrence least on the map is Ideato North, Ideato South and Orlu in Imo that falls between medium to low level in susceptibility level
The resultant susceptibility zonation maps were re-classed into three susceptibility zones namely; high, medium and low zones respectively
Summary
Landslides (LS) is one of the most dangerous geological phenomena that poses danger to modern developed societies, due to their close connection to human and property losses and economic impact on the regional economy. High annual rainfall, increasing population pressure, deforestation and extreme rainfall make most areas in Southeast Nigeria very sensitive to LS. This is a region characterized by steep slopes, intense rainfalls, deep. It is clear that landslides have caused damages in several parts of the study area, but their assessment, prediction and management are still not well understood, as available information indicates that erosion is amongst one of the factors that trigger LS in the region (Ogbonnaya et al, 2015). We introduce the LS that took place recently in the three states across southeastern Nigeria that is; Anambra, Enugu and Imo as shown in Fig. 1a and b
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