ABSTRACT

At local or regional scales, where Landsat has been extensively applied to monitor burned areas, semi- or fully automated methods are not very common. Koutsias et al. ([2013]. “A Rule-Based Semi-Automatic Method to map Burned Areas: Exploring the USGS Historical Landsat Archives to Reconstruct Recent Fire History.” International Journal of Remote Sensing 34 (20): 7049–7068) developed a semi-automatic method to map burned areas consisted of a set of rules that are valid especially when the post-fire image has been captured shortly after the fire. However, the rule-based approach is not free of errors that eventually create limitations to adopt this method for reconstructing the fire history in a fully automated mode. In this work, we improved the method by revisited and improving the rules that have been developed in the first paper, especially for reducing the omission errors. Minor changes have been made to almost all rules; however, one of the rules has been revised and changed the most as compared to the others by also considering the short-wave infrared channel TM5 (in Landsat-5 or Landsat-7). In this case, the algorithm could successfully capture the fire scar in dry vegetated areas as well. Due to the lack of reference data collected in the field, we used reference data collected by photo interpretation, and the accuracy assessment showed that these had a high agreement with the burned land mapping results.

摘要

在地方或区域范围内，Landsat 已广泛应用于监测燃烧区域，半自动或全自动方法并不常见。库西亚斯等人。（[2013]。“一种基于规则的半自动绘制燃烧区域的方法：探索美国地质调查局历史陆地卫星档案以重建最近的火灾历史。”国际遥感杂志34 (20): 7049–7068) 开发了一种半自动方法来绘制燃烧区域的地图，该方法由一组有效的规则组成，尤其是在火灾发生后不久捕获火灾后图像时。然而，基于规则的方法并非没有错误，最终会限制采用这种方法以全自动模式重建火灾历史。在这项工作中，我们通过重新审视和改进在第一篇论文中开发的规则来改进方法，特别是为了减少遗漏错误。几乎所有的规则都做了细微的改变；然而，通过考虑短波红外通道 TM5（在 Landsat-5 或 Landsat-7 中），其中一项规则与其他规则相比已被修订和更改最多。在这种情况下，该算法也可以成功捕获干燥植被区域的火痕。