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Assessing the influence of atmospheric and topographic correction and inclusion of SWIR bands in burned scars detection from high-resolution EO imagery: a case study using ASTER

机译:评估大气和地形校正以及将SWIR波段包含在从高分辨率EO图像检测到的烧伤疤痕中的影响:使用ASTER的案例研究

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In the present study, the effect of atmospheric and topographic correction to burned area delineation from Earth Observation (EO) imagery is explored. Furthermore, the potential added value of the inclusion of the shortwave infrared (SWIR) bands for improving retrievals of burned area cartography is investigated. In particular, the capability of ASTER imagery when combined with the maximum likelihood (ML) and the support vector machines (SVMs) classification techniques is examined herein. As a case study, a Mediterranean site on which a fire event occurred in Greece during 2007 and for which post-fire ASTER imagery was available is used. The combination of topographic correction (orthorectification) with the inclusion of the SWIR bands returned the most accurate results in burned area detection. SVMs showed the highest accuracy, showing the most promising potential in delineating the burned areas. The most accurate results for burned scar mapping were obtained from the combined use of SVMs with an orthorectified image and SWIR spectral bands, at least this was the case in our study site. Our results offer a very important contribution to the understanding of the capability of high-resolution imagery such as that from ASTER in burned area estimation. This study also corroborates the usefulness of topographic correction as an image processing step to be incorporated in modelling schemes for delineating burned areas from such data. Findings potentially provide very useful information towards the development of EO-based techniques that aim to operationally provide services related to the estimation of burned area. This is of considerable scientific and practical value to the wider scientific and users' community given the continuation of free access today to observations from space from high-resolution sensors globally.
机译:在本研究中,探索了大气和地形校正对从地球观测(EO)影像得到的燃烧区域轮廓的影响。此外,还研究了包含短波红外(SWIR)波段以改善烧伤区域制图的检索的潜在附加值。特别地,本文检查了与最大似然(ML)和支持向量机(SVM)分类技术结合使用时ASTER图像的功能。作为案例研究,使用了一个地中海站点,该站点于2007年在希腊发生了火灾,并提供了火灾后的ASTER图像。地形校正(正射校正)与包含SWIR波段的结合在烧伤区域检测中返回了最准确的结果。 SVM显示出最高的准确性,在描绘烧伤区域方面显示出最有希望的潜力。通过将SVM与经过正射校正的图像和SWIR光谱带结合使用,可以获得最准确的烧伤疤痕定位结果,至少在我们的研究现场就是这种情况。我们的结果为理解高分辨率图像(例如ASTER在燃烧面积估计中的能力)提供了非常重要的贡献。这项研究还证实了地形校正作为图像处理步骤的有用性,该步骤将被纳入到建模方案中以从此类数据中描绘出燃烧区域。研究结果可能为基于EO的技术的发展提供非常有用的信息,该技术旨在在操作上提供与燃烧面积估计有关的服务。鉴于当今继续免费获取全球高分辨率传感器在太空进行的观测,这对广大科学界和用户界具有重要的科学和实践价值。

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