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Assessment of Land Erosion and Sediment Accumulation Caused by Runoff after a Flash-Flooding Storm Using Topographic Profiles and Spectral Indices

机译:使用地形简档和光谱指标在闪蒸风暴之后径流径流造成的土地侵蚀和沉积物积累

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This research deals with the characterization of areas associated with flash floods and erosion caused by severe rainfall storm and sediment transport and accumulation using topographic attributes and profiles, spectral indices (SI), and principal component analysis (PCA). To achieve our objectives, topographic attributes and profiles were retrieved from ASTER-V2 DEM. PCA and nine SI were derived from two Landsat-OLI images acquired before and after the flood-storm. The images data were atmospherically corrected, sensor radiometric drift calibrated, and geometric and topographic distortions rectified. For validation purposes, the acquired photos during the flood-storm, lithological and geological maps were used. The analysis of approximately 100 colour composite combinations in the RGB system permitted the selection of two combinations due to their potential for characterizing soil erosion classes and sediment accumulation. The first considers the “Intensity, NDWI and NMDI”, while the second associates form index (FI), brightness index (BI) and NDWI. These two combinations provide very good separating power between different levels of soil erosion and degradation. Moreover, the derived erosion risk and sediment accumulation map based on the selected spectral indices segmentation and topographic attributes and profiles illustrated the tendency of water accumulation in the landscape, and highlighted areas prone to both fast moving and pooling water. In addition, it demonstrated that the rainfall, the topographic morphology and the lithology are the major contributing factors for flash flooding, catastrophic inundation, and erosion risk in the study area. The runoff-water power delivers vulnerable topsoil and contributes strongly to the erosion process, and then transports soil material and sediment to the plain areas through waterpower and gravity. The originality of this research resides in its simplicity and rapidity to provide a solid basis strategy for regional policies to address the real causes of problems and risks in developing countries. Certainly, it can help in the improvement of the management of water regulation structures to develop a methodology to maximize the water storage capacity and to reduce the risks caused by floods in the Moroccan Atlas Mountain (Guelmim region).
机译:该研究涉及与严重降雨风暴和沉积物运输和使用地形属性和谱,谱指数(SI)和主成分分析(PCA)累积引起的闪蒸洪水和沉积物和堆积相关的区域的表征。为了实现我们的目标,从ASTER-V2 DEM检索地形属性和配置文件。 PCA和九种Si源自洪水风暴之前和之后获得的两种土地上的奥利图像。图像数据是大气校正,传感器辐射漂移校准,并整流几何和地形扭曲。为了验证目的,使用了洪水风暴,岩性和地质地图期间的收购照片。 RGB系统中大约100种颜色复合组合的分析允许选择两种组合由于其特征土壤侵蚀类和泥沙积累的可能性。第一个考虑“强度,NDWI和NMDI”,而第二个关联形式(FI),亮度索引(BI)和NDWI。这两个组合在不同水平的土壤侵蚀和降解之间提供了非常好的分离能量。此外,基于所选择的光谱指数分割和地形属性和曲线的衍生侵蚀风险和沉积物累积图在景观中的水积累趋势,并且突出显示了快速移动和池水的区域。此外,它表明降雨,地貌形态和岩性是闪现洪水,灾难性淹没和研究区侵蚀风险的主要贡献因素。径流水力提供易受伤害的表土,并对侵蚀过程有贡献,然后通过水力和重力将土壤材料和沉积物运送到平原区域。本研究的原创性居住在简单和速度,为区域政策提供了坚实的基础战略,以解决发展中国家问题和风险的真正原因。当然,它可以帮助改善水管调节结构的管理,开发一种方法,以实现最大化储存能力的方法,并降低摩洛哥地图集山(Guelmim Region)中洪水引起的风险。

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