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Dynamic Change of Land Cover of Qinling Mountains Based on MODIS NDVI

机译:基于MODIS NDVI的秦岭土地覆被动态变化

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Taking the Qinling Mountains in Shaanxi Province as the research area, based on the MODIS NDVI data after time series reconstruction, combined with the land-use status data ,DEM data, and forest resources survey results, the change-vector analysis method and overlay segmentation method were used to analyze the degree of change in land cover and the type of change were explored in the Qinling Mountains from 2000 to 2015. The results showed that: 1)The most significant change of the land use map unit in the Qinling Mountains in 2000-2015 was the "deciduous forest to mingled forest", "cultivated land to deciduous forest" is the second largest unit type, accounting for 46.32% and 12.74% of the changeable area respectively. The other land use types have the smallest change to the water body, accounting for less than 0.01% of the area. 2) According to the NDVI cumulative change rate and the segmentation threshold, the NDVI change vector intensity types are determined: increasing, fluctuating, decreasing and stable. The area of increasing type accounted for 35.53%, and distributed around Shangluo in the northeast of the study area, Ankang in the southwest of Hanzhong and the south of the city mainly. The fluctuating type and decreasing area accounted for 5.46% and 0.85%, respectively. The fluctuating type was mixed among other types of changes, and the decreasing type were mainly distributed along the gentle slopes along the Luo River, Han River and Danjiang River, and around the city. The stable type has a dominant position and is distributed over a large area outside the areas of increasing, decreasing, and fluctuating, with an area ratio of 58.16%. In the areas with an altitude elevation of less than 1000m in the Qinling Mountains, the NDVI change vector increase dominates. With the increase of altitude, the NDVI change vector type within the range of 1500-2700m altitude is dominated by the stable type, and the proportion of the increasing type is reduced by the altitude; In the areas with a high altitude of 2700m, the NDVI change slowly increases year by year, showing an increase in the proportion of increased pixel area. Based on the dynamic analysis of vegetation cover change intensity in mountainous regions of Qinling Mountains, this paper reveals the intensity and regularity of vegetation changes in mountainous regions, provideing a basis for rapid monitoring of large-scale land cover changes, and has practical significance for the ecological protection of the Qinling Mountains.
机译:以陕西秦岭为研究区域,基于时间序列重建后的MODIS NDVI数据,结合土地利用现状数据,DEM数据和森林资源调查结果,进行变化矢量分析和覆盖分割。方法对秦岭2000-2015年土地覆盖变化程度和变化类型进行了分析。结果表明:1)秦岭土地利用图单位变化最为显着。 2000-2015年是“落叶林到混交林”,“耕地到落叶林”是第二大单位类型,分别占易变面积的46.32%和12.74%。其他土地利用类型对水体的变化最小,占不到面积的0.01%。 2)根据NDVI累积变化率和分割阈值,确定NDVI变化矢量强度类型:增加,波动,减少和稳定。增加型地区占35.53%,主要分布在研究区东北的商洛市,汉中市西南部的安康市和城市南部。变动类型和减少面积分别占5.46%和0.85%。波动类型混合在其他类型的变化中,而下降类型主要分布在沿罗河,汉江和丹江的平缓坡度以及城市周围。稳定型占主导地位,分布在增,减,波动区域之外的较大区域,面积比为58.16%。在秦岭海拔高度小于1000m的地区,NDVI变化矢量的增加占主导地位。随着海拔的升高,海拔在1500-2700m范围内的NDVI变化矢量类型主要由稳定类型决定,而随着海拔的升高,NDVI变化矢量的比例减小。在海拔2700m的区域中,NDVI的变化逐年缓慢增加,这表明增加的像素面积所占的比例有所增加。在对秦岭山区植被覆盖变化强度进行动态分析的基础上,揭示了山区植被变化的强度和规律性,为快速监测大规模土地覆盖变化提供了依据,具有现实意义。秦岭的生态保护。

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