| 基于变化矢量分析和振荡指数的植被变化检测方法研究 |
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| 引用本文： | 刘扬扬,张涛,刘伯娟.基于变化矢量分析和振荡指数的植被变化检测方法研究[J].资源科学,2014,36(9):1985-1992. |
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| 作者姓名： | 刘扬扬 张涛 刘伯娟 |
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| 作者单位： | 长江水资源保护科学研究所, 武汉 430051;河海大学水文水资源学院, 南京 210098;湖北省水利水电规划勘测设计院, 武汉 430051 |
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| 基金项目： | 国家自然科学基金项目（编号：41201558）。 |
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| 摘 要： | 以MODIS/NDVI作为研究植被变化的遥感数据,针对传统变化矢量分析方法无法较好反映植被变化方向性与波动性的不足,本文建立了修正的变化矢量分析公式,并提出了可描述NDVI年际变化波动性的振荡指数bz。为验证修正的变化矢量分析方法与振荡指数的有效性,选取长江上游青衣江流域为试验区,对不同的植被变化检测方法进行比较分析。研究表明:利用修正变化矢量分析方法得到的NDVI矢量变化强度不仅保留了NDVI变化的强度特征和结构特征,而且可以明确地指示每个像元上植被的变化趋势,从而在数量上和趋势上更好地刻画NDVI时空变化特征;基于振荡指数bz计算的振荡强度由于考虑了年内各时间维上NDVI的变化累积,可以有效地反映NDVI年际变化的波动性。
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| 关 键 词： | 变化矢量分析 振荡指数 植被变化检测 归一化植被指数 |
Detecting Vegetation Changes Using Change Vector Analysis and the Vibration Index |
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| LIU Yangyang,ZHANG Tao and LIU Bojuan.Detecting Vegetation Changes Using Change Vector Analysis and the Vibration Index[J].Resources Science,2014,36(9):1985-1992. |
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| Authors: | LIU Yangyang ZHANG Tao and LIU Bojuan |
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| Institution: | Changjiang Water Resources Protection Institute, Wuhan 430051, China;College of Hydrology and Water Resources in Hohai University, Nanjing 210098, China;Hubei Investigation and Design Institute of Water Conservancy and Hydropower Wuhan 430051, China |
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| Abstract: | Change vector analysis has been widely used to monitor changes in the eco-environment and vegetation cover; however, trends and fluctuations in vegetation are not reflected by traditional change vector analysis methods. Traditional methods are also unable to define the temporal-spatial evolution of NDVI over an entire time period because they consider only the beginning and end years. Here, we improve upon traditional change vector analysis methods to overcome these disadvantages. Using MODIS/NDVI data and a vibration index we aimed to determine inter-annual fluctuations in vegetation change;the Qingyi River watershed was selected as a case study and for model testing. We found that the strength and structural characteristics of NDVI change were retained using our improved change vector intensity, while trends in vegetation change were clearly indicated at the pixel scale. Taking cumulative change into account, the contrast of NDVI change amplitude was stronger at the pixel scale. The temporal-spatial evolution of NDVI was better characterized using the improved change vector analysis method in our focal area. Due to the incorporation of monthly cumulative change in NDVI at a yearly scale, inter-annual fluctuations in NDVI were effectively reflected using the vibration index proposed here. |
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| Keywords: | change vector analysis vibration index vegetation change detection NDVI |
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