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A remote sensing technique for the assessment of stable interannual dynamical patterns of vegetation

机译：一种评估植被年际稳定格局的遥感技术

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The time series of various parameters of satellite imagery (NDVI/EVT, temperature) during the growing season were considered in this work. This means that satellite images were considered not like a number of single scenes but like temporal sequences. Using time series enables estimating the integral phenological properties of vegetation. The basis of the developed technique is to use one of the methods of transformation of the multidimensional space in order to get the principal components. The technique is based on considering each dimension of the multidimensional space as satellite imagery for a specific date range. The technique automatically identifies spatial patterns of vegetation that are similar by phenology and growing conditions. Subsequent analysis allowed identification of the belonging of derived classes. Thus, the technique of revealing the spatial distribution of different dynamical vegetation patterns based on the phenological characteristics has been developed. The technique is based on a transformation of the multidimensional space of states of vegetation. Based on the developed technique, areas were obtained with similar interannual trends.
机译：在这项工作中考虑了生长季节期间卫星图像各种参数的时间序列（NDVI / EVT，温度）。这意味着卫星图像被认为不像是单个场景，而是像时间序列。使用时间序列可以估算植被的整体物候特性。所开发技术的基础是使用多维空间变换的一种方法来获得主要成分。该技术基于将多维空间的每个维度视为特定日期范围内的卫星图像。该技术自动识别物候和生长条件相似的植被空间格局。随后的分析允许确定派生类的归属。因此，开发了基于物候特征揭示不同动态植被格局的空间分布的技术。该技术基于植被状态多维空间的转换。基于已开发的技术，获得的区域具有相似的年际趋势。

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