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Spatiotemporal changes of forest line and canopy cover between 1945-2019 at selected Greek mountains

机译:1945 - 2019年在所选择的希腊山脉之间的森林线和冠层覆盖的时空变化

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The changes observed in forest line, have recently drawn much interest, in part because forest line altitude may be used as an indicator of environmental changes. Forest line ecotone located in the zone between closed forest and to treeless herbaceous vegetation, are transitional areas are widely used as indicators for the observation of landscape response to climate change. The objective of this study was to evaluate the changes in time of the forest line at six mountains in mainland Greece from 1945 to2019. Aerial, remote-sensing data acquired in 1945 and 2007 were processed for information extraction through a visual interpretation approach. Subsequently, the 2007 forest line and canopy cover maps served as reference for developing a modelling procedure based on freely satellite data and extrapolate the forest line predictions over 2019. Spectral and texture predictor variables were extracted from Landsat 5 imagery captured in summer 2007 and used as input to Random Forest models. All models for the various scenes resulted a coefficient of determination of more than 0.6 for tree canopy cover density estimation. The developed RF models for tree canopy cover estimation were applied to Landsat-8 surface reflectance scenes covering the respective geographical extent. Finally, the forest line and tree canopy cover maps, were overlaid within a GIS environment and changes were detected. The change detection procedure revealed both an upslope shift of the forest line as well as an increase in the tree canopy cover in these areas. From these changes, significant implications for ecosystem functioning and ecosystem services provision are likely to occur.
机译:森林线路中观察到的变化最近绘制了很多兴趣,部分原因是森林线高度可以用作环境变化的指标。森林线ECOTONE位于封闭森林和脱脂草本植物之间的区域,是过渡区域被广泛用作观察景观应对气候变化的指标。本研究的目的是从1945年到2019年评估六个山脉森林线的时间变化。通过视觉解释方法处理1945年和2007年1945年和2007年获取的空中,遥感数据。随后,2007年森林线和遮篷覆盖贴图作为开发基于自由卫星数据的建模程序的参考,并在2019年外推动森林预测。光谱和纹理预测因子从2007年夏季捕获的Landsat 5图像中提取了频谱和纹理预测变量。用作输入到随机林模型。各种场景的所有模型导致树冠覆盖密度估计的多于0.6的确定系数。用于树冠覆盖估计的开发的RF模型应用于覆盖各自的地理范围的Landsat-8表面反射场景。最后,森林线和树冠覆盖地图,在GIS环境中覆盖,并检测到变化。变更检测程序揭示了森林线的上升偏移,以及这些区域中的树冠覆盖的增加。从这些变化,可能会发生对生态系统功能和生态系统服务的重大影响。

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