利用MODIS NDVI监测南非茨瓦内市250米植被的酚学

IF 0.3 Q4 REMOTE SENSING South African Journal of Geomatics Pub Date : 2022-09-01 DOI:10.4314/sajg.v11i2.1
J. Magidi, Fethi Ahmed
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引用次数: 1

摘要

前所未有的人口涌入城市地区,导致了城市环境的横向和纵向增长。城市化的显著影响之一是类似城市的环境对非城市地区的侵蚀。这在发达国家和发展中国家都很常见,南非行政首都茨瓦内市因移民而受到城市化的影响。用于量化城市增长的参数或指标之一是植被覆盖率。人们一致认为,随着城市居民人口的增加,植被覆盖率将下降。为了评估和监测植被覆盖,通常使用归一化差异植被指数(NDVI)。在这项研究中,使用了空间分辨率为250m的MODIS NDVI数据来评估城市生长对植被的影响。利用空间分辨率为250m的MODIS NDVI时间序列分析,建立了植被覆盖模式。确定了新开发的住宅区、非正式定居点和各种植被区的植被变化趋势。Sen的斜率估计器和Mann-Kendall的统计方法用于分析不同土地覆盖类别之间的空间趋势和趋势变化。趋势的斜率差异很大,但植被覆盖率普遍下降。时间剖面显示了NDVI的高值和低值,分别显示了2000年至2016年的绿化(高植被)和褐变(低植被)趋势。结果表明,城市生长对植被覆盖有一定的影响。然而,这并没有干扰植被的季节变化,因为夏季NDVI值较高,冬季NDVI值较低。
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Monitoring vegetation phenology using MODIS NDVI 250m in the City of Tshwane, South Africa
The unprecedented influx of people into urban areas has led to the horizontal and vertical growth of urban environments. One of the notable impacts of urbanisation is the encroachment of urban-like environments into non-urban areas. This is common in both developed and developing countries, and South Africa’s City of Tshwane, the administrative capital of the country, has been affected by urbanisation because of migration. One of the parameters or proxies used to quantify urban growth is vegetation cover. There is a consensus that with the increase in the population of urban dwellers, vegetation cover will decrease. To assess and monitor vegetation cover, the Normalised Difference Vegetation Index (NDVI) is commonly used. In this study, MODIS NDVI data with a 250m spatial resolution was used to assess the impact of urban growth on vegetation. A time series analysis of the MODIS NDVI with a spatial resolution of 250m was used to establish the patterns of vegetation cover. Trends in vegetation change were determined in newly developed residential areas, informal settlements, and various vegetated areas. Sen's slope estimator and Mann-Kendall’s statisticwere used to analyse the spatial trends and variations in trends among different land cover classes. The slope of the trends differs significantly but there is a general decline in vegetation cover. The temporal profiles revealed the high and low NDVI values, respectively showing greening (high vegetation) and browning (low vegetation) trends from 2000 to 2016. It is concluded that urban growth has an impact on vegetation cover. However, this does not disturb the seasonal changes in vegetation where high NDVI values prevail in summer and low values in winter.
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