森林衰退监测的两种遥感时间序列分析方法比较

J. Lambert, A. Jacquin, J. Denux, V. Chéret
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引用次数: 9

摘要

在欧洲,2003年夏季的热浪破坏了森林地区。本研究的目的是比较两种分析NDVI影像时间序列的方法,以监测森林衰退。第一种方法是基于与春季植被活动相关的物候指标,分析其变化趋势。第二种方法(BFAST)通过将NDVI时间序列分解为趋势分量、季节分量和剩余分量来提取趋势。这两种方法对趋势估计的结果相似。BFAST的主要优势在于它能够检测线性趋势中的断点,这突出了2003年异常气候条件对林分发展的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Comparison of two remote sensing time series analysis methods for monitoring forest decline
In Europe, the 2003 summer heat wave damaged forested areas. The purpose of this study is to compare two methods to analyse time series of NDVI images for monitoring forest decline. The first method is based on phenological indicator linked to spring vegetation activity, and on the analysis of its trend. The second method (BFAST) allows extracting the trend by decomposition of NDVI time series into trend, seasonal and remainder components. The two approaches show similar results for trends estimates. The main advantage of BFAST is its capability to detect breakpoints in the linear trend which highlights the impact of the exceptional climatic conditions in 2003 on forest stands development.
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