Assessing the Spatio-Temporal Pattern of Land Use and Land Cover Changes in Osun Drainage Basin, Nigeria

E. D. Ashaolu, J. F. Olorunfemi, I. P. Ifabiyi
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引用次数: 19

Abstract

Abstract Over the years, Osun drainage basin has witnessed tremendous increase in population, and urbanization that have changed the landscape of the area. This study evaluated the spatio-temporal pattern of land use/land cover change (LULC) in the study area, and made hydrological inferences. Landsat imageries were acquired from USGS-EROS satellite image database for the period 1984, 2000 and 2015, while the Digital Elevation Model (DEM) was obtained from Shuttle Radar Topography Mission (SRTM) of the National Aeronautics and Space Agency (NASA). Supervised image classification using the Maximum Likelihood Algorithm in Erdas Imagine was adopted to classified the land use/land cover of the study area into seven classes. Elevation, aspect and slope of the study area were processed from DEM using ArcGIS. Modules for Land Use Change Evaluation (MOLUSCE) plugin in QGIS was used to simulate the basin future LULC change, using change driving factors of population, elevation, aspect and slope of the study area. There was about 234% increase in built up areas and 89.22% in crop/shrubs between 1984 and 2015. The most significant decrease in LULC occurred in forest (58.75%) and wetland (84.69%) during this period. The predicted future LULC change suggests that only about 12% of the basin will remain under forest cover by the year 2046. The results underscored the increasing anthropogenic activities in the basin that influenced recharge rate, surface runoff, incidences of soil erosion, etc., in Osun drainage basin. The planting of the lost native trees was recommended for the sustainability of the basin’s ecosystem.
尼日利亚奥孙流域土地利用/覆被变化时空格局评价
多年来,奥孙流域人口急剧增加,城市化进程改变了该地区的景观。本研究对研究区土地利用/土地覆盖变化(LULC)的时空格局进行了评价,并进行了水文推断。1984年、2000年和2015年的陆地卫星图像来自美国地质调查局- eros卫星图像数据库,数字高程模型(DEM)来自美国国家航空航天局(NASA)的航天飞机雷达地形任务(SRTM)。利用Erdas Imagine中的最大似然算法进行监督图像分类,将研究区土地利用/土地覆盖分为7类。利用ArcGIS对研究区的高程、坡向和坡度进行DEM处理。利用QGIS中的MOLUSCE插件,利用研究区人口、高程、坡向和坡向等变化驱动因子,模拟流域未来土地利用变化变化。1984年至2015年间,建成区面积增加了234%,作物/灌木面积增加了89.22%。在此期间,森林和湿地的LULC下降幅度最大,分别为58.75%和84.69%。对未来LULC变化的预测表明,到2046年,只有大约12%的盆地将被森林覆盖。结果表明,人类活动对奥孙流域补给速率、地表径流、土壤侵蚀发生率等产生了显著影响。为了盆地生态系统的可持续性,建议种植消失的原生树木。
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