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Evaluation of forest fires in Portugal Mainland during 2016 summer considering different satellite datasets

机译:考虑不同卫星数据集的2016年夏季葡萄牙大陆森林火灾评估

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摘要

Portugal is one of the most affected countries in Europe by forest fires. Every year in the summer, hundreds of hectares burn, destroying goods and forests at an alarming rate. The objective of this work was to analyze the forest areas burned in Portugal in 2016 (summer) using different satellite data with different spatial resolution (Sentinel-2A MSI and Landsat 8 OLI) in two affected areas. Data from spring from 2016 and 2017 were chosen (pre-fire event and post-fire event) in order to maximize the Normalized Difference Vegetation Index (NDVI) values. The QGIS software's plugin - Semi-Automatic Classification Plugin- which allowed to obtain NDVI values for the Landsat 8 OLI and Sentinel- 2A was used. The results showed that the NDVI decreased considerably in Arouca and Vila Nova de Cerveira after de fire event, meaning a marked drop in vegetation level. In Sintra municipality this change was not verified because non forest fire was registered in this area during the study period. The results from the Sentinel-2A and Landsat 8 OLI data analysis are in agreement, however the Sentinel-2A satellite gives results more accurate than Landsat-8 OLI since it has best spatial resolution. This study could help the experts to understand both the causes and consequences of spatial variability of post-fire effects. Other vegetation spectral indices related with fire and burnt areas could also be calculated in order to discriminate burnt areas. Added to the best spatial resolution of Sentinel-2A (10 m), the temporal resolution of Sentinel-2A (10 days) was increased with the launch of the twin Sentinel-2B (very recently) and therefore the frequency of the combined constellation revisit will be 5 days. However, for historical studies, the Landsat program remains the best option.
机译:葡萄牙是欧洲受森林大火影响最大的国家之一。每年夏季,数百公顷的土地被烧毁,毁灭性的商品和森林以惊人的速度增长。这项工作的目的是在两个受灾地区使用具有不同空间分辨率的不同卫星数据(Sentinel-2A MSI和Landsat 8 OLI)分析2016年葡萄牙(夏季)烧毁的森林地区。为了最大化归一化植被指数(NDVI)值,选择了2016年和2017年春季的数据(火灾前和火灾后)。使用了QGIS软件的插件-半自动分类插件-可以获取Landsat 8 OLI和Sentinel-2A的NDVI值。结果表明,大火事件发生后,Arouca和Vila Nova de Cerveira的NDVI显着下降,这意味着植被水平明显下降。在辛特拉市,此变更未得到验证,因为在研究期间该地区未发生森林大火。 Sentinel-2A和Landsat 8 OLI数据分析的结果相吻合,但是Sentinel-2A卫星比Landsat-8 OLI更准确,因为它具有最佳的空间分辨率。这项研究可以帮助专家了解火灾后空间变异性的原因和后果。还可以计算与火灾和烧伤地区有关的其他植被光谱指数,以区分烧伤地区。除了Sentinel-2A的最佳空间分辨率(10 m)之外,随着双Sentinel-2B的发射(最近),Sentinel-2A的时间分辨率(10天)也增加了,因此重新审视了组合星座的频率将是5天。但是,对于历史研究,Landsat计划仍然是最佳选择。

著录项

  • 来源
  • 会议地点 Warsaw(PL)
  • 作者

    A.C. Teodoro; A. Amaral;

  • 作者单位

    Dep.Geosciences, Environment and Land Planning Faculty of Sciences, Rua Campo Alegre, 4169-007, Porto, University of Porto, Porto, Portugal,Earth Sciences Institute (ICT), Faculty of Sciences, Rua Campo Alegre, 4169-007, Porto, University of Porto, Porto, Portugal;

    Dep.Geosciences, Environment and Land Planning Faculty of Sciences, Rua Campo Alegre, 4169-007, Porto, University of Porto, Porto, Portugal;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Landsat 8 OLI; Sentinel-2A MSI; Semi-Automatic Classification Plugin; QGIS; NDVI;

    机译:Landsat 8 OLI; Sentinel-2A MSI;半自动分类插件; QGIS; NDVI;
  • 入库时间 2022-08-26 13:45:17

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