Sediment Yield on Different Agricultural Land use Types in Ikpoba Okha, Nigeria (Published)
This work is an assessment of variations in the rate of sediment yield from different agricultural landuse types in Ikpoba Okha. The research design adopted in this study was based largely on direct field measurement. To generate the data required to accomplish the philosophy of this work, measurement of rainfall amount (mm), rainfall intensity (mm/hr) and sediment load (kg) were generated from the months of March to October 2019. The collected data were analyzed using percentages and degree. It was discovered that the rate of sediment yield was determined by the amount of rainfall and that the rate sediment yield on different landuse types vary widely due to the nature of man environment interactions. The sediment yield from bareland (26.9kg) was greater than fallow land (12.8kg) and that of vegetated land was (4.2kg). In order to protect the environment from erosion (sediment yield), the adoption of environmental education is recommended to track down the rate of sediment yield in the study area. An acceptable way for checking erosion over the affected land surfaces especially the bareland is to cover them with grasses mostly during the rainy season. Finally, this study suggests that man environment relationship should be minima so as not to jeopardize the ecosystem and this can only be achieved through formulation of bye-laws and policies that will guide the use and misuse of the land.
Keywords: : Erosion, Ikpoba, Landuse, Okha, Sediment
Change Detection in Landuse / Landcover Mapping in Asaba, Niger Delta B/W 1996 And 2015. A Remote Sensing and GIS Approach (Published)
Remote sensing is used in this research work for the development and acquisition of Landuse/land cover data, pattern and its attendant effects in Asaba, Delta State Nigeria. Remote sensing images and digital data verified by ground trothing (field work) satellite data are used to assess the rate of change in Landuse / Land cover between 1996 and 2015. It also examines the extent to which images and GIS softwares effectively contribute to mapping landuse/cover in the Niger Delta region. Remote sensing and geographic Information System (GIS) help integrate natural, cultural, social and economic information to create spatial information system on the available terrain resources. Sets of NARSDA images were acquired corresponding with the years, field checked to ascertain the data captured on the terrain.. The digital satellite data are incorporated as input data into IDRISI 32 GIS environmental to separately map out the landuse/land cover units and their magnitude determine. Five distinct units were identified in classification of landuse/landed cover pattern categories as follows: Farmland, Build up land, Waste land, Forest land and Water bodies. Land consumption rate indicate a progressive spatial expansion of the city was high in 1996/2006 and higher between 2006 and 2015. Also, land absorption coefficient being a measure of consumption of new urban land by increased urban population, was high between 1996 and 2006 and between 2006 and 2015. Ground trothing was carried out to ascertain the accuracy of data and there are major changes in the landuse/land cover. It was discovered that there is rapid inbuilt-up areas evidently explained in buildings projects that resulted in decrease in forest land, agricultural land and open space. This is attributed to the anthropogenic activities of farming, bush burning, grazing, etc. However, the area occupied by water remained unchanged over the years. This study demonstrates that remotely sensed data and GIS based approach is found to be timely and cost effective than the conventional method of analysis, classification of land use pattern effective for planning and management
Keywords: Change Detection, Geographic information System (GIS), IDRISI 32 software, Land Cover, Landuse, Mapping, Remote Sensing, Satellite image