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Monitoring of vegetation dynamics on the former military training area Koenigsbruecker Heide using remote sensing time series

机译:利用遥感时间序列监测前军事训练区科尼格斯布鲁克海德的植被动态

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摘要

In 1989 about 1.5 million soldiers were stationed in Germany. With the political changes in the early 1990s a substantial decline of the staff occurred on currently 200,000 employees in the armed forces and less than 60,000 soldiers of foreign forces. These processes entailed conversions of large areas not longer used for military purposes, especially in the new federal states in the eastern part of Germany. One of these conversion areas is the former military training area Koenigsbrueck in Saxony. For the analysis of vegetation and its development over time, the Normalized Difference Vegetation Index (NDVI) has established as one of the most important indicators. In this context, the questions arise whether MODIS NDVI products are suitable to determine conversion processes on former military territories like military training areas and what development processes occurred in the "Koenigsbruecker Heide" in the past 15 years. First, a decomposition of each series in its trend component, seasonality and the remaining residuals is performed. For the trend component different regression models are tested. Statistical analysis of these trends can reveal different developments, for example in nature development zones (without human impact) and zones of controlled succession. The presented workflow is intended to show the opportunity to support a high temporal resolution monitoring of conversion areas such as former military training areas.
机译:1989年,约有150万士兵驻扎在德国。随着1990年代初期的政治变化,目前在武装部队中有200,000名雇员和不到60,000名外国部队的士兵,工作人员大量减少。这些过程需要改建不再用于军事目的的大片地区,特别是在德国东部的新联邦州。这些转换地区之一是萨克森州的前军事训练区Koenigsbrueck。为了分析植被及其随时间的发展,归一化植被指数(NDVI)已被确定为最重要的指标之一。在这种情况下,会出现以下问题:MODIS NDVI产品是否适合确定诸如军事训练区等前军事领地的转换过程,以及过去15年中“科尼格斯布鲁克海德”发生了哪些发展过程。首先,对每个系列的趋势成分,季节性和剩余残差进行分解。对于趋势分量,测试了不同的回归模型。对这些趋势的统计分析可以揭示不同的发展,例如在自然开发区(无人类影响)和控制继承区。提出的工作流程旨在显示支持转换区(例如前军事训练区)的高时间分辨率监视的机会。

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