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Detecting and Quantifying Desertification in the Upper East Region of Ghana using Multi-spatial and Multi-Temporal Normalized Difference Vegetation Index

机译:利用多时空和多时相归一化植被指数检测和量化加纳东部地区的荒漠化

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The need for process and indicator-based approach for assessing desertification is paramount to the drive to combat desertification in sub-Sahara Africa. It is in line with this that this study sought an approach based on early indicator, which can be measured in a continuum and at multispation and multitemporal scale in order to eliminate short-term phonological variations which are not direct character of desertification in its measurement. The study focused on surface vegetation change trends, as depicted by NDVI, on the African continent, Sahel Africa and the Upper East Region to detect and quantify desertification. The study analyzed NDVI from AVHRR GIMMS NDVIg data (1982-2007) and validated that with Landsat TM5 data (1984-2007). The multitemporal and multispatial validation technique was used to analysis annual temporal and spatial mean NDVI change trends over 26 years. The study finds that temporal NDVI of the African continent has a linear relationship with the seasonal rainfall changes of the year. The mean monthly NDVI for the African region also shows greenness disparity between the northern and southern halves of the continent. It was further observed that mean annual NDVI decrease occurred between 1982 -1983, 1988, 1994, and the largest stretch of decrease expanding over 8 years occurred from 1997-2005. The rise and fall of the NDVI trend from 1982-1997 suggest regular drought on the African continent while the 8-year decrease from 1997-2005 suggests a period of desiccation. These notwithstanding, the NDVI trend of the African continent show no evidence of desertification over the study period. The mean NDVI of the Sahel Africa shows that between 1982 and 1990 NDVI was rising and falling, portraying inter-annual rainfall irregularities of the region. The period 1995-2001 saw NDVI recovering above average, with the highest mean NDVI in 2001. NDVI fell below average from 2002 to 2006. On the average, NDVI of the Sahel Africa increased by about 2.6% during the period under study. Temporal NDVI of the UER also shows rise and fall trends similar to the Africa and Sahel Africa. However, UER NDVI increased by a higher percentage point 6.7%, as compared to the Sahel Africa average of 2.6% over the 26-year study period. The spatial analysis focused on pixels that lost and those that gained surface greenness over the reference period. The study compared three periods; 1982-1990, 1990-1999 and 1999 - 2007.An average of 19 pixels (8km2) equals 152 km2 lost vegetation (1982-1990), while 280 pixels, equivalent to 2240 km2, gained vegetation. The maximum gain for 1990-1999 was almost 48% of the maximum NDVI for 1987 and 2007. Although GIMMS NDVIg did not find much land degradation, the LTM NDVI shows widespread pockets of spatial degradation in the UER which were not visible in the GIMMS NDVIg. The study concluded that spatial resolution of satellite data changes land degradation dynamics observed in the analysis. Key Words: Detecting and quantifying desertification, multi-spatial, multi-temporal.
机译:在撒哈拉以南非洲防治荒漠化的努力中,需要以过程和指标为基础的方法来评估荒漠化。与此相符的是,本研究寻求一种基于早期指标的方法,该方法可以连续,以多分支和多时间尺度进行测量,以消除短期语音变化,而语音变化并不是沙漠化测量的直接特征。如NDVI所述,研究集中在非洲大陆,萨赫勒非洲和上东部地区的地表植被变化趋势,以检测和量化荒漠化。该研究分析了来自AVHRR GIMMS NDVIg数据(1982-2007年)的NDVI,并使用Landsat TM5数据(1984-2007年)进行了验证。多时空和多空间验证技术用于分析26年中年度时空平均NDVI变化趋势。研究发现,非洲大陆的时间NDVI与一年中的季节性降雨变化呈线性关系。非洲地区的月平均NDVI也显示出该大陆北部和南部一半之间的绿色差异。进一步观察到,NDVI的年平均减少量发生在1982年至1983年,1988年,1994年之间,并且在8年中最大的下降趋势发生在1997年至2005年之间。 1982年至1997年NDVI趋势的上升和下降表明非洲大陆经常出现干旱,而1997年至2005年的8年下降表明干旱时期。尽管如此,在研究期间非洲大陆的NDVI趋势没有显示出沙漠化的迹象。萨赫勒非洲地区的NDVI平均值表明,1982年至1990年之间,NDVI呈上升和下降趋势,描绘了该地区的年际降雨异常。 1995-2001年期间NDVI恢复高于平均水平,2001年平均NDVI最高。2002至2006年NDVI低于平均水平。在研究期间,萨赫勒非洲的NDVI平均增加了约2.6%。 UER的时间NDVI也显示出与非洲和萨赫勒非洲相似的上升和下降趋势。然而,在26年的研究期内,UER NDVI增长了6.7%,高于萨赫勒非洲的平均水平2.6%。空间分析的重点是在参考期间内丢失的像素和获得表面绿色的像素。该研究比较了三个时期。 1982-1990年,1990-1999年和1999-2007年。平均19个像素(8 km2)等于152 km2的植被消失(1982-1990年),而280个像素(相当于2240 km2)获得了植被。 1990-1999年的最大收益几乎是1987年和2007年NDVI最大值的48%。尽管GIMMS NDVIg并没有发现太多土地退化,但LTM NDVI在UER中显示出广泛的空间退化,这在GIMMS NDVIg中是不可见的。 。研究得出结论,卫星数据的空间分辨率改变了分析中观察到的土地退化动态。关键词:荒漠化的检测和量化,多空间,多时间。

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