Cartography in Early Warning and Crisis Management

Visualization for enhanced early warning

3504.1 - Mapping Landslides Susceptibilty In a Traditional Northern Nigerian City

Monday, July 3
1:30 PM - 1:50 PM
Location: Virginia B

As a result of dearth of relevant information about Landslide Susceptibility in Nigeria, the monitoring and assessment appears intractable. Hence, the study developed a Remote Sensing approach to mapping landslides susceptibility, landuse and landcover analysis in Jos South LGA, Plateau State, Nigeria. Field Observation, SPOT 5 2009 and 2012, ASTER DEM 2009, Geological Map 2006, Topographical Map 1966 was used to map Landslide Susceptibility and Landuse /Lancover Analysis in the study area. Geospatial Analytical Operations employed using ArcGIS 10.3 and Erdas Imagine 2013 include Spatial Modeling, Vectorization, Pre-lineament Extraction Image Processing among others. Result showed that 72.38 % of the study area is underlain by granitic rocks. The landuse/cover types delineated for the study area include flood plain (29.27 %), farmland (23.96 %), sparsely vegetated land (15.43 %), built up area (13.65 %), vegetated outcrop (8.48 per cent), light vegetation (5.37 %), thick vegetation (2.39 %), water body (0.58 %), plantation (0.50 %) and mining pond (0.37 %). Landslide Susceptibility Analysis also revealed that 87 % of the study area is relatively at low to very low risk of landslide event. While only 13 % of the study area is at high to very high risk of landslide event. The study revealed that the susceptibility of landslide event is very low in the study area. However, possible landslide event in the hot spots could be pronounced and could destabilize the natural and man-made environmental systems of the study area.

Olawale Ayodeji Oluwafemi

Senior Scientific Officer
National Space Research and Development Agency, Centre for Geodesy and Geodynamics, Toro, Nigeria

Mr. Olawale Ayodeji Oluwafemi, Senior Research Officer with Nigerian Space Agency’s Centre for Geodesy and Geodynamics, Toro, Bauchi State Nigeria born in Ile-Ife, Osun State, West Africa, Nigeria on 28th Febuary 1985. Olawale is the President and the Coordinator of Students Learning Earth System Science (SLESS) a Non-Governmental Environmental Education Science Program in Nigeria. Mr. Olawale holds B.Sc Degree in Physical Geography with emphasis on Geomorphology from Obafemi Awolowo Univerisity , Ile-Ife, Nigeria in 2006 and also Master of Remote Sensing and GIS Degree from the same University in 2011. Olawale also obtained Master of Science Degree in Remote Sensing and GIS with special emphasis in Enviromental Geomorphology from Nigerian Defence Academy, Postgraduate School, Kaduna, Nigeria in 2017. Olawale is a member of GLOBE (Global Learning Observation to Benefit the Environment) International Scientist Newtwork (GISN) Mr. Olawale became the Lead Scientist, Global Precipitation Measurement (GPM)-GLOBE Satellite Mission Student Field Campaign in 2014 and GPM-NASA Master Teacher for the School Calendar Year 2014-2015.


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Nyofo Shitta

Research Scientific Officer
Centre for Geodesy and Geodynamics

Nyofo graduated from University of Maiduguiri, Nigeria with a B.Sc Degree in Geography


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Akinola Shola Akinwumiju

Federal University of Technology, Akure, Ondo State, Nigeria

Dr Akinwumiju Akinola Shola graduated from Geography Department of University of Ilorin (Nigeria) in 2003. He has M.Sc. in Geography of University of Ibadan (Nigeria; 2007), M. Sc. in Remote Sensing and GIS of OAU (Nigeria; 2011). He obtained his Ph.D in Ecology and Environmental Science (Remote Sensing and GIS Option) of OAU, Nigeria. He has vast experience in Application of Remote Sensing and GIS in Geo-sciences. He has keen interest in Spatial Modeling, Programming and Application of RS and GIS in Geo-sciences with special focus of 3D sub-surface Modeling. Dr Akinwumiju currently lectures in the Department of Remote Sensing and Geoscience Information System, School of Earth and Mineral Sciences, Federal University of Technology, Akure, Nigeria.


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3504.1 - Mapping Landslides Susceptibilty In a Traditional Northern Nigerian City

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