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Use of the Normalized Difference Road Landside Index (NDRLI)-based method for the quick delineation of road-induced landslides

机译:基于归一化道路边坡指数(NDRLI)的方法对道路诱发滑坡的快速描绘

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摘要

Recognition and classification of road-related landslides are a critical requirement in pre- and post-disaster hazard analysis. They are primarily done through field mapping or manual image interpretation from commercial satellites images. This paper developed a Normalized Difference Road Landside Index (NDRLI)-based method to delineate road-induced landslides and enhance their presence in remotely sensed digital imagery based on free Landsat Operational Land Imager (OLI) sources. The NDRLI-based method includes NDRLI, Shape Index of Spectral Curve (SISC), and other optimizing steps such as deleting shadow and slope <20° area to recognise landslides. The test results show that the NDRLI-based method is effective in extracting road-induced landslide information, although the Kappa coefficient should be further improved.
机译:道路相关滑坡的识别和分类是灾前和灾后分析的关键要求。它们主要是通过野外制图或从商业卫星图像中手动解释图像来完成的。本文开发了一种基于归一化差异道路边坡指数(NDRLI)的方法,用于描述道路诱发的滑坡,并基于免费的Landsat实用土地成像仪(OLI)来增强其在遥感数字图像中的存在。基于NDRLI的方法包括NDRLI,光谱曲线形状指数(SISC)和其他优化步骤,例如删除阴影和坡度<20°区域以识别滑坡。测试结果表明,尽管应进一步提高Kappa系数,但基于NDRLI的方法在提取道路诱发滑坡信息方面有效。

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