首页> 外文会议>Earth Resources and Environmental Remote Sensing/GIS Applications >Monitoring of vegetation dynamics on the former military training area Konigsbrucker Heide using remote sensing time series
【24h】

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

机译:使用遥感时间序列监测前军事训练区konigsbrucker海德的植被动态

获取原文
获取外文期刊封面目录资料

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 Konigsbruck 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 ”Konigsbrucker 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,德国驻扎了约150万士兵。由于20世纪90年代初期的政治变化,工作人员的大量衰落发生在目前200,000名武装部队员工和少于60,000名外国士兵。这些过程需要大区域的转换,不再用于军事目的,特别是在德国东部的新联邦国家。这些转换区之一是萨克森州的前军事训练区。为了分析植被及其开发随着时间的推移,归一化差异植被指数(NDVI)已成为最重要的指标之一。在这种情况下,提出了Modis NDVI产品的问题,以确定前军事领域的转换过程,如军事训练区,在过去的15年里,“Konigsbrucker Heide”发生了哪些发展过程。首先,执行其趋势分量,季节性和剩余残差中的每个系列的分解。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(没有人为影响)和受控连续的区域。所呈现的工作流程旨在表示支持高颞部分辨率监测的转换区域,例如前军事训练区域。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号