尼日利亚伊巴丹郊区地方政府区域土地利用模式和变化的景观指标分析

IF 0.3 Q4 REMOTE SENSING
A. Olayiwola, O. Fakayode
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引用次数: 1

摘要

本研究使用遥感和空间指标研究了伊巴丹郊区选定地方政府区域的城市增长时空模式和变化幅度。研究数据来自研究区域的行政地图、人口数据和卫星图像。所有这些都得到了使用全球定位系统(GPS)接收器进行地面验证的补充。变化分析的时期分为两个时期;1986年至2002年和2002年至2017年。根据Anderson监督分类方案的修改版本,将图像分为四个土地利用/覆盖类别。使用100个随机采样的地面实况点对图像进行精度评估。使用Fragstats程序选择了10个空间指标进行分析。结果表明,由于转换,植被显著损失(土地消耗率,LCR=0.025、0.019和0.027;土地吸收系数,LAC=0.012和0.048)。此外,斑块数量(NP)持续增加,表明其呈分散、分散但持续的发展。然而,斑块密度值的下降(PD=90.94、27.07和30.30)表明,通过以不同的速率转换其他土地用途,斑块密度发生了扩张。研究结果还表明,边缘地区存在碎片化低密度发展(面积加权平均斑块分形维数,AWMPFD=1.37和1.39)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Landscape metrics analysis of land use patterns and changes in suburban local government areas of Ibadan, Nigeria
This study examined the spatiotemporal pattern of urban growth and magnitude of changes in selected Local Government Areas (LGAs) in the suburban area of Ibadan using remote sensing cum spatial metrics. Data for the study were obtained from administrative maps of the study area, population data and satellite imageries. All of these were complemented with ground validations using Global Positioning System (GPS) receiver. Periods of change analysis were divided into two epochs; 1986 to 2002 and 2002 to 2017. The imageries were classified into four landuse/cover classes based on Anderson’s modified version of supervised classification scheme. Accuracy assessment of the imageries was carried out using 100 randomly sampled ground truth points. Ten spatial metrics were selected for analysis using Fragstats program. Results show a significant loss in vegetation due to conversion (Land Consumption Rate, LCR = 0.025, 0.019 and 0.027; Land Absorption Coefficient, LAC = 0.012 and 0.048). Moreover, there was a persistent increase in Number of Patches (NP) indicating a scattered and fragmented but continuous development. However, dwindling values of Patch Density (PD = 90.94, 27.07 and 30.30) indicate expansion through conversion of other landuses at varying rates. Results also indicate an incidence of fragmented low density development in the fringe areas (Area Weighted Mean Patch Fractal Dimension, AWMPFD = 1.37 and 1.39). The study highlights the chaotic land development and unrestrained urban expansion in the study area.
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