EAS Publisher | Land use Change Detection using Remote Sensing and GIS in Rivers State; Eleme LGA

Land use Change Detection using Remote Sensing and GIS in Rivers State; Eleme LGA

DOI : https://doi.org/10.36344/ccijavs.2020.v02i10.001

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The study examined the landuse change using GIS and remote sensing in the northern part of Eleme Local Government Area of Rivers State, Nigeria. Landsat Tm of 1986, 1999 and landsat ETM of 2015 of 30m x 30m resolution were used for the landuse change analysis. Supervised classification was used to classify the imagery into major landuse of thick vegetation, built up area, swamp forest, farmland/sparse vegetation and waterbodies. Normalized Diffrence Vegetation Index (NDVI) was used to measure the status of vegetation health and classify the entire area into less/not vegetation landuse (LNV) and highly vegetation (HV) landuse. The entire study area was gridded into 10m x10m quadrat whereby 7 quadrats were randomly in LNV and 6 quadrats in HV. Findings revealed that thick vegetation reduced by 129.87% while built up area increased by 468.11% between 1986 and 2015. LNV covered 10.46 km2, 12.02 km2 and 17.89 km2 while HV covered 22.44 km2, 20.88 km2 and 15.01 km2 in 1986, 1999 and 2015 respectively.

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