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Post-fire vegetation recovery in Portugal based on spot/vegetation data

机译：基于现场/植被数据的葡萄牙火后植被恢复

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A procedure is presented that allows identifying large burned scars and the monitoring of vegetation recovery in the years following major fire episodes. The procedure relies on 10-day fields of Maximum Value Composites of Normalized Difference Vegetation Index (MVC-NDVI), with a 1 km×1 km spatial resolution obtained from the VEGETATION instrument. The identification of fire scars during the extremely severe 2003 fire season is performed based on cluster analysis of NDVI anomalies that persist during the vegetative cycle of the year following the fire event. Two regions containing very large burned scars were selected, located in Central and Southwestern Portugal, respectively, and time series of MVC-NDVI analysed before the fire events took place and throughout the post-fire period. It is shown that post-fire vegetation dynamics in the two selected regions may be characterised based on maps of recovery rates as estimated by fitting a monoparametric model of vegetation recovery to MVC-NDVI data over each burned scar. Results indicated that the recovery process in the region located in Central Portugal is mostly related to fire damage rather than to vegetation density before 2003, whereas the latter seems to have a more prominent role than vegetation conditions after the fire episode, e.g. in the case of the region in Southwestern Portugal. These differences are consistent with the respective predominant types of vegetation. The burned area located in Central Portugal is dominated by Pinus Pinaster whose natural regeneration crucially depends on the destruction of seeds present on the soil surface during the fire, whereas the burned scar in Southwestern Portugal was populated by Eucalyptus that may quickly re-sprout from buds after fire. Besides its simplicity, the monoparametric model of vegetation recovery has the advantage of being easily adapted to other low-resolution satellite data, as well as to other types of vegetation indices.
机译：提出了一种程序，该程序可以在大火事件发生后的几年内识别出大块烧伤的疤痕并监测植被的恢复。该程序依赖于归一化植被指数（MVC-NDVI）的最大值复合物的10天字段，该空间分辨率是从VEGETATION仪器获得的1 km×1 km空间分辨率。基于2003年NDVI异常的聚类分析（在火灾发生后的一年的植物生长周期中持续存在），对极端严峻的2003年火灾季节的火疤进行识别。选择了分别位于葡萄牙中部和西南部的两个烧伤疤痕非常大的区域，并分析了火灾发生之前和整个火灾后时期的MVC-NDVI时间序列。结果表明，可以根据恢复速率图来表征两个选定区域的火后植被动态，该恢复速率图是通过将植被恢复的单参数模型与每个烧伤疤痕上的MVC-NDVI数据拟合而估计的。结果表明，位于葡萄牙中部的该区域的恢复过程主要与火灾破坏有关，而不是与2003年之前的植被密度有关，而后者似乎比火灾后的植被状况（例如，2000年以前）具有更突出的作用。以葡萄牙西南部地区为例。这些差异与植被的主要类型相符。葡萄牙中部的烧毁地区以Pinus Pinaster为主，Pinus的自然再生在很大程度上取决于大火期间土壤表面种子的破坏，而葡萄牙西南部的烧伤疤痕则富含桉树，桉树可能很快从芽中萌芽。大火后。除了其简单性，植被恢复的单参数模型还具有易于适应其他低分辨率卫星数据以及其他类型植被指数的优势。

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