Tag Archives: Satellite image

Impact of Deforestation on Rural Livelihood in Mbieri, Imo State Nigeria (Published)

Globally the rate of deforestation and forest degradation is around 13million hectares, occurring mostly in developing countries. This study aimed at assessing the impact of deforestation on livelihood sources in Mbieri a rural community in Imo State, Southeast Nigeria. Multi-Temporal Satellite Images were analyzed for changes in land use and land cover in the area, while random sampling method was used to administer the questionnaire, and participatory rural appraisal (PRA) method was used to elicit information on drivers of deforestation, income levels and perceived effects of deforestation in the study area. Six land use/cover types were identified namely; farmland, bare soil, built-up surface, water bodies, secondary forest and primary forest. GPS coordinates of the sampled deforested areas were also recorded and used to overlay on the Satellite processed data on land use and land cover. Data were further obtained from the satellite imageries of Landsat 4, thematic mapper (TM) and Landsat 7 and 8 ETM+ covering the year 1986, 2000, and 2016 respectively. Results from satellite image analysis revealed that land use changes have negatively impacted deforestation leading to loss of primary forest and reduction in secondary forest. Built-up areas and farmland increased from 13.92% and 11.47% in 1986 to 32.86% and 21.97% in 2016 respectively. While the primary forest reduced from 35.94% in 1986 to 10.78% in 2016. Population increase and agricultural expansion were identified as the major drivers of deforestation in Mbieri. Impacts of deforestation on the people include loss of valuable species of flora and fauna, decreased earnings from the sale of forest resources and loss of farmland to erosion of exposed surfaces. It is recommended that forest plantations be increased by using vacant and unused lands which will have net positive benefits also, deliberate reforestation should be embarked on to avoid environmental degradation and possible increase in ambient temperature.

Citation: Iwuji M. C, Okpara J. C, Ukaegbu K. O. E, Iwuji K. M, Uyo C. N, Onuegbu S. V, Acholonu, C.A (2022) Impact of Deforestation on Rural Livelihood in Mbieri, Imo State Nigeria, International Journal of Geography and Regional Planning Research, Vol.7, No.2, pp.1-13,

Keywords: Deforestation, Forest, Landuse, Livelihood, Satellite image, Urbanization, population increase

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