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首页> 外文期刊>International journal of remote sensing >A rule-based semi-automatic method to map burned areas: exploring the USGS historical Landsat archives to reconstruct recent fire history
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A rule-based semi-automatic method to map burned areas: exploring the USGS historical Landsat archives to reconstruct recent fire history

机译：基于规则的半自动方法来绘制燃烧区域的图：探索USGS历史Landsat档案以重建最近的火灾历史

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摘要

This study presents a new semi-automatic method to map burned areas by using multi-temporal Land Remote Sensing Satellite Program (Landsat) Thematic Mapper (TM) and Enhanced TM Plus (ETM+) images. The method consists of a set of rules that are valid especially when the post-fire satellite image has been captured shortly after the fire event. The overall accuracy of the method when applied to two case studies in Mt Parnitha and Samos Island in Greece were 95.69% and 93.98%, respectively. The commission and omission errors for Mt Parnitha were 6.92% and 10.24%, while those for Samos Island were 3.97% and 8.80%, respectively. Between the two types of error, it is preferred to minimize omission errors, since commission errors can be easily identified as part of product quality assessment and algorithm tuning procedures. The rule-based approach minimizes human interventions and makes it possible to run the mapping algorithm for a series of images that would otherwise need extensive time investment. In case of failure to capture burned areas correctly, it is possible either to make some adjustments by modifying the thresholding coefficients of the rules, or to discard some of the rules, since some editing is usually required to correct errors following the automated extraction procedures. When this method was applied to a series of US Geological Survey (USGS) Landsat TM and ETM+ archived satellite images covering the periods 1984-1991 and 1999-2009, a total of 1773 fires were identified and mapped from six different scenes that covered Attica and the Peloponnese in Greece. The majority of uncaptured burned areas corresponded to fires with size classes of 0-1 ha and 1-5 ha, where the loss in capturing fire scars is generally significant. This was expected since it is possible that small fires, identified and recorded by forest authorities, may not have been captured by satellite data due to limitations arising either from the spatial resolution of the sensor or imposed by the temporal series, which do not systematically cover the full period.
机译：这项研究提出了一种新的半自动方法，该方法通过使用多时相陆地遥感卫星计划（Landsat）主题映射器（TM）和增强型TM Plus（ETM +）图像来绘制燃烧区域的地图。该方法由一组规则组成，这些规则特别有效，尤其是在火灾事件发生后不久捕获了射击后卫星图像时。当将该方法应用于希腊帕尼萨山和萨摩斯岛的两个案例研究时，该方法的总体准确性分别为95.69％和93.98％。帕尼萨山的佣金和遗漏误差分别为6.92％和10.24％，而萨摩斯岛的则分别为3.97％和8.80％。在这两种错误之间，最好将遗漏错误减至最少，因为佣金错误可以很容易地识别为产品质量评估和算法调整程序的一部分。基于规则的方法最大程度地减少了人为干预，并且可以为一系列图像运行映射算法，否则这些图像将需要大量时间投入。在无法正确捕获烧伤区域的情况下，可以通过修改规则的阈值系数来进行一些调整，或者丢弃某些规则，因为通常需要进行一些编辑才能按照自动提取程序纠正错误。当将此方法应用于一系列涵盖1984-1991年和1999-2009年的美国地质调查局（USGS）的Landsat TM和ETM +存档卫星图像时，从涵盖阿提卡和希腊的伯罗奔尼撒半岛。未捕获的大部分燃烧区域对应于大小为0-1公顷和1-5公顷的火灾，其中捕获火伤痕迹的损失通常很大。这是预料之中的，因为由于传感器的空间分辨率或时间序列所造成的限制，森林当局可能无法捕获由森林当局识别和记录的小火，而这些限制没有系统地涵盖整个时期。

著录项

  • 来源
    《International journal of remote sensing》 |2013年第20期|7049-7068|共20页
  • 作者

    Nikos Koutsias; Magdalini Pleniou; Giorgos Mallinis; Foula Nioti; and Nikolas I. Sifakis;

  • 作者单位

    Department of Environmental and Natural Resources Management, University of Ioannina, GR-30100 Agrinio, Greece;

    Department of Environmental and Natural Resources Management, University of Ioannina, GR-30100 Agrinio, Greece;

    Department of Forestry & Management of the Environment and Natural Resources, Democritus University of Thrace, GR-68200 Orestiada, Greece;

    Department of Environmental and Natural Resources Management, University of Ioannina, GR-30100 Agrinio, Greece;

    Institute for Space Applications and Remote Sensing, National Observatory of Athens, GR-15236 Pendeli, Greece,European Research Council Research Agency, Brussels, Belgium;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
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