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Trend of Normalized Difference Vegetation Index (NDVI) over Turkey

机译:土耳其归一化植被指数的趋势

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Ecosystem productivity, biome distribution, and forest carbon stocks are likely to be changed by the climate change. These ecosystems changes can be identified using Satellite based normalized difference vegetation index (NDVI). In this study, global inventory modeling and mapping studies (GIMMS) NDVI data acquired by the advanced very high-resolution radiometer (AVHRR) was used for analyzing the trend over Turkey for the period 1982-2015. The acquired data has bi-monthly nature, and the maximum value of composite method was used for finding monthly NVDI. The obtained NDVI was then clipped to the study area, and then the trend was estimated using Annual aggregated time series (AAT) and seasonal adjusted time series (SAT) methods. In AAT method the annual averages were calculated and then the trend was estimated. In SAT, the seasonal component removed from the time series and the seasonal adjusted time series used for estimating the trend. The gradient latitudinal and longitudinal trend was also implemented to investigate the spatial trend. The gradient was calculated as the trend of the blocks of a specific latitude of longitude over the whole Turkey to have better interpretation of the spatial trend from south to north and east to west. The results showed that throughout Turkey the NDVI has an increasing and decreasing trend, but the increasing trend is dominant as 89.9% and 79.1% of the total area using AAT and SAT respectively are significant increasing trend. One the other hand, only 0.45% and 0.36% of the total area has significant decreasing trend using AAT and SAT respectively and the rest of the area has no significant trend. The seasonal adjusted method showed most of the no trend areas is distributed through the eastern part and the far western part of Turkey. The Annual aggregated trend showed similar pattern with largest no trend area centered in the far eastern part of Turkey. The gradient analysis showed decreasing in the magnitude of the positive NDVI trend when moving from the west to the east, and no specific pattern in the south north direction.
机译:气候变化可能会改变生态系统的生产力,生物群落分布和森林碳储量。可以使用基于卫星的归一化植被指数(NDVI)来识别这些生态系统的变化。在这项研究中,通过先进的超高分辨率辐射计(AVHRR)获得的全球清单建模和测绘研究(GIMMS)NDVI数据被用于分析1982-2015年期间土耳其的趋势。所获取的数据具有两月一次的性质,并且使用复合方法的最大值来查找每月的NVDI。然后将获得的NDVI修剪到研究区域,然后使用年度汇总时间序列(AAT)和季节性调整的时间序列(SAT)方法估计趋势。在AAT方法中,计算年平均值,然后估算趋势。在SAT中,从时间序列中删除的季节性成分和用于估计趋势的季节性调整后的时间序列。还采用了横向和纵向的梯度趋势来研究空间趋势。计算梯度是整个土耳其特定经度块的趋势,以便更好地解释从南到北,从东到西的空间趋势。结果表明,在整个土耳其,NDVI有增加和减少的趋势,但使用AAT和SAT分别占总面积的89.9%和79.1%是显着的增加趋势。另一方面,使用AAT和SAT分别仅占总面积的0.45%和0.36%的显着下降趋势,而其余区域则无显着趋势。经季节性调整的方法显示,大部分无趋势区域分布在土耳其的东部和西部。年度汇总趋势显示了类似的模式,最大趋势区域没有集中在土耳其的远东地区。梯度分析显示,当从西向东移动时,NDVI正趋势的幅度减小,并且在南北方向上没有特定的模式。

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