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首页> 外文期刊>International journal of applied earth observation and geoinformation >Spatio-temporal pattern analysis of land use/cover change trajectories in Xihe watershed
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Spatio-temporal pattern analysis of land use/cover change trajectories in Xihe watershed

机译：西河流域土地利用/覆被变化轨迹的时空格局分析。

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Human-induced land use/cover change has been considered to be one of the most important parts of global environmental changes. In loess hilly and gully regions, to prevent soil loss and achieve better ecological environments, soil conservation measures have been taken during the past decades. The main objective of this study is to quantify the spatio-temporal variability of land use/cover change spatial patterns and make preliminary estimation of the role of human activity in the environmental change in Xihe watershed, Gansu Province, China. To achieve this objective, the methodology was developed in two different aspects, that is, (1) analysis of change patterns by binary image of change trajectories overlaid with different natural geographic factors, in which Relative Change Intensity (RCI) metric was established and used to make comparisons, and (2) analysis based on pattern metrics of main trajectories in the study area. Multi-source and multi-temporal Remote Sensing (RS) images (including Landsat ETM+ (30 June 2001), SPOT imagery (21 November 2003 and 5 May 2008) and CBERS02 CCD (5 June 2006)) were used due to the constraints of the availability of remotely sensed data. First, they were used to extract land use/cover types of each time node by object-oriented classification method. Classification results were then utilized in the trajectory analysis of land use/cover changes through the given four time nodes. Trajectories at every pixel were acquired to trace the history of land use/cover change for every location in the study area. Landscape metrics of trajectories were then analyzed to detect the change characteristics in time and space through the given time series. Analysis showed that most land use/cover changes were caused by human activities, most of which, under the direction of local government, had mainly led to virtuous change on the ecological environments. While, on the contrary, about one quarter of human-induced changes were vicious ones. Analysis through overlaying binary image of change trajectories with natural factors can efficiently show the spatio-temporal distribution characteristics of land use/cover change patterns. It is found that in the study area RCI of land use/cover changes is related to the distance to the river line. And there is a certain correlation between RCI and slope grades. However, no obvious correlation exists between RCI and aspect grades.
机译：人为引起的土地利用/覆盖变化被认为是全球环境变化的最重要部分之一。在黄土丘陵和沟壑区，为了防止土壤流失并获得更好的生态环境，在过去的几十年中已经采取了水土保持措施。这项研究的主要目的是量化甘肃省西河流域土地利用/覆盖变化空间格局的时空变异性，并初步估算人类活动在环境变化中的作用。为了实现这一目标，从两个不同方面开发了该方法，即：（1）通过用覆盖不同自然地理因素的变化轨迹的二值图像分析变化模式，在其中建立并使用相对变化强度（RCI）度量进行比较，以及（2）根据研究区域主要轨迹的模式指标进行分析。由于以下因素的限制，使用了多源和多时间遥感（RS）图像（包括Landsat ETM +（2001年6月30日），SPOT图像（2003年11月21日和2008年5月5日）和CBERS02 CCD（2006年6月5日））。遥感数据的可用性。首先，它们通过面向对象的分类方法提取每个时间节点的土地利用/覆盖类型。然后将分类结果用于给定四个时间节点的土地利用/覆盖变化的轨迹分析。获取每个像素的轨迹，以追踪研究区域中每个位置的土地使用/覆盖变化的历史。然后分析轨迹的景观度量，以检测给定时间序列在时间和空间上的变化特征。分析表明，大多数土地利用/覆盖变化是由人类活动引起的，其中大多数是在地方政府的指导下，主要导致了生态环境的良性变化。相反，约有四分之一的人为改变是恶性的。通过用自然因素覆盖变化轨迹的二值图像进行分析，可以有效地显示土地利用/覆盖变化模式的时空分布特征。结果发现，在研究区域，土地利用/覆盖面积的RCI变化与到河线的距离有关。 RCI与坡度之间存在一定的相关性。但是，RCI与方面等级之间不存在明显的相关性。

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