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首页> 外文期刊>Journal of Environmental Geography >Assessing the Spatio-Temporal Pattern of Land Use and Land Cover Changes in Osun Drainage Basin, Nigeria
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Assessing the Spatio-Temporal Pattern of Land Use and Land Cover Changes in Osun Drainage Basin, Nigeria

机译：评估尼日利亚奥孙流域土地利用和土地覆被变化的时空格局

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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.
机译：多年来，奥孙流域的人口激增，城市化进程改变了该地区的景观。本研究评估了研究区域内土地利用/土地覆被变化（LULC）的时空格局，并做出了水文推论。从USGS-EROS卫星图像数据库获取了1984、2000和2015年的Landsat影像，而数字高程模型（DEM）是从美国国家航空航天局（NASA）的航天飞机雷达地形任务（SRTM）获得的。在Erdas Imagine中采用最大似然算法进行监督图像分类，将研究区域的土地利用/土地覆盖分为7类。研究区域的高程，高程和坡度是使用ArcGIS从DEM处理的。 QGIS中的土地利用变化评估模块（MOLUSCE）插件用于利用研究区域的人口，海拔，坡向和坡度的变化驱动因素来模拟流域未来的LULC变化。在1984年至2015年之间，建筑面积增加了约234％，农作物/灌木丛增加了89.22％。在此期间，土地利用，土地利用变化最大的减少发生在森林（58.75％）和湿地（84.69％）。预测的未来LULC变化表明，到2046年，流域只有约12％的森林被覆盖。结果强调了流域内人为活动的增加，影响了补给率，地表径流，土壤侵蚀的发生率等，在Osun流域。建议种植失落的本地树木，以促进流域生态系统的可持续性。

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