Classification of land use/land cover of Aniocha north local government area, Delta state using satellite imagery

Remote Sensing (RS) and Geographic Information System (GIS) have been established as indispensable tools in the assessment of Land use / cover (LULC) change. RS GIS are important for monitoring, modelling mapping land changes across a range spatial temporal scales, order to assess extent, direction, causes, effects changes. Change detection has provided suitable wide-ranging information various decision support systems natural resource management sustainable development. The main objective study is evaluate extent direction LULC Aniocha North Local Government Area (LGA), Delta State, Nigeria explain identify some their on both livelihoods local people environment, also explore conservation measures designed overcome problems associated with Landsat 7 Enhanced Thematic Mapper (ETM+) 2002 30 meters resolution landsat (ETM) 2014satellite images well techniques were used monitor generate maps area these periods. Supervised Use/Land Cover classification algorithm (Maximum likelihood null class) was analysis classification. result LandSat ETM+ (2002) revealed that farmland accounted 36.34% total class, followed by savannah which 24.15%. Forest built up area, waterbody constituted 20.42%, 16.46% 2.62% respectively. Also, ETM (2014) shows forest 38.59% 30.93%. Built covers 25.55% while river 2.86% 2.08% 83.26 % average accuracy 79.16 overall 2014 showed 95.06% 94.99% accuracy. Growing population pressure its problems, such increasing demand trees, poor institutional socio-economic settings, unfavorable government policies, lack tenure security infrastructure development, major driving forces behind