In this paper, results related with the assessment of the capabilityto detect forest degradation by analyzing NDFI time series through the BFAST algorithm are presented. Recent studies have shown the potential of the BFAST algorithm applied to a time-series of satellite-derived spectral indices such as NDVI or EVI to detect unambiguous and subtle perturbations of the forest cover canopy both positive (e.g. regeneration) and negative (e.g. deforestation). Similarly, these results suggest the feasibility to distinguish between several types of forest degradation and their causal agents such as selective logging and forest fire. In this context, the results derived from this research show that using NDFI as a data source in the BFAST algorithm improves the detection of forest degradation, and additionally provides information to understand both temporal and spatial approaches related with the dynamics of perturbations of the forest canopy

中文翻译：

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使用 NDFI 和 BFAST 算法的森林退化卫星遥感

在本文中，介绍了通过 BFAST 算法分析 NDFI 时间序列来评估森林退化检测能力的相关结果。最近的研究表明 BFAST 算法应用于卫星衍生光谱指数的时间序列（如 NDVI 或 EVI）的潜力，以检测森林覆盖冠层的明确和微妙扰动，包括正面（例如再生）和负面（例如森林砍伐） . 同样，这些结果表明区分几种类型的森林退化及其因果关系的可行性，例如选择性采伐和森林火灾。在此背景下，本研究得出的结果表明，在 BFAST 算法中使用 NDFI 作为数据源提高了对森林退化的检测，