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Influence of Urban Development on the Time Series Evolution of Surface Vegetation in Xi'an Region

机译:西安市城市发展对地表植被时间序列演变的影响

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This Application of maximum synthesis method (MVC), regression analysis in mathematical statistics, based on time resolution of 16 days, spatial resolution of 250m MODIS_NDVI/EVI annual, seasonal and monthly vegetation index image analysis The Time Series Evolution of Vegetation in Xi'an Region from 2010 to 2016. It is opined that: 1. The trend of NDVI/EVI changes from 2013 to 2014 in Xi'an Region has a significant drop, with the rate of decline being 2.83%/a and 3.75%/a, respectively, and then rising. The growth rate of NDVI/EVI in 2014-2016 They were 3.25%/a and 3.95%/a, respectively. 2. The average monthly NDVI/EVI trend during the year in Xi'an shows a bimodal pattern, and the trend of the different phases of the monthly phase curve is similar. It can be seen that the overall NDVI/EVI changes in Xi'an during the 7 years show obvious phenological cycle changes. 3. For the same ground cover, the sensitivity of NDVI / EVI is not the same. By fitting the NDVI / EVI of the 7-month time series image of 7 years, the equation is obtained: y = 0.0556e3.0404x, R2 = 0.9511, indicating when When NDVI > 0.6, EVI is more sensitive to vegetation changes than NDVI. 5. According to the bipartite principle, the vegetation coverage of Xi'an was calculated. The results showed that the vegetation coverage in Xi'an Region has a strong regularity in spatial distribution. The high vegetation coverage area is mainly concentrated in the Qinling area south of Xi'an, and the low vegetation coverage area. Focusing on the downtown area centered on the clock tower, the contrast between the EVI and NDVI images shows that NDVI is easily saturated in high vegetation areas, and the spectral resolution of vegetation in high vegetation areas is less than that of EVI. 5. Selecting five regions of interest for block analysis, the vegetation coverage in the inner city, the second ring, and the surrounding city shows an increasing trend, and with the narrowing of the range, the growing trend becomes more obvious. The results indicate that, in the Xi'an Region, the overall changes in both NDVI and EVI are insignificant. The big reason is the effect of regional compensation, the construction of the city is saturated, the green vegetation is no longer destroyed, and along with vegetation growth and the city Greening, vegetation coverage develops in a good direction. Because the area around the county seat of HuXian County is still in the urbanization stage, the vegetation coverage in the area has been declining over time. Since there are many ecological parks located in the ecological area, the vegetation coverage in the area has fluctuating trends. The overall remains unchanged.
机译:最大合成方法(MVC)的应用,数学统计中的回归分析,基于16天的时间分辨率,250m空间分辨率的MODIS_NDVI / EVI年,时,月植被指数图像分析西安市植被的时间序列演变该区域从2010年到2016年。据认为:1.西安地区从2013年到2014年NDVI / EVI的变化趋势显着下降,下降速度分别为2.83%/ a和3.75%/ a,分别,然后上升。 2014-2016年NDVI / EVI的增长率分别为3.25%/ a和3.95%/ a。 2.西安市全年NDVI / EVI的月平均趋势呈双峰态,月相曲线不同阶段的趋势相似。可以看出,西安7年间NDVI / EVI的总体变化表现出明显的物候周期变化。 3.对于相同的地面覆盖层,NDVI / EVI的灵敏度不相同。通过拟合7年的7个月时间序列图像的NDVI / EVI,可以得出等式:y = 0.0556e3.0404x,R2 = 0.9511,表明当NDVI> 0.6时,EVI比NDVI对植被变化更敏感。 5.根据二方原则,计算了西安市的植被覆盖率。结果表明,西安地区植被覆盖度空间分布规律性强。高植被覆盖区主要集中在西安以南的秦岭地区,低植被覆盖区。 EVI和NDVI图像之间的对比度集中在以钟楼为中心的市中心区域,表明NDVI在高植被区很容易饱和,高植被区的植被光谱分辨率小于EVI。 5.选择五个感兴趣的区域进行街区分析,内城,二环和周边城市的植被覆盖率呈增长趋势,并且随着范围的缩小,增长趋势变得更加明显。结果表明,在西安地区,NDVI和EVI的总体变化均不显着。主要原因是区域补偿的影响,城市的建设饱和,绿色植被不再被破坏,并且随着植被的增长和城市的绿化,植被覆盖度向着良好的方向发展。由于户县县城周边地区仍处于城市化阶段,该地区的植被覆盖度一直在下降。由于生态区内有许多生态公园,该地区的植被覆盖率有波动的趋势。总体保持不变。

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