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Application of high-resolution satellite images to detailed landslide hazard assessment

机译:高分辨率卫星图像在详细滑坡灾害评估中的应用

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The study investigates and demonstrates the state of the art in remote sensing techniques for detailed landslide hazard assessment over large areas using (i) single and (ii) stereo satellite images from IKONOS Very High Resolution (VHR) sensor. The image fusion technique provides the ability for detailed landslide interpretation using single image and this is comparable to that obtainable from 1:10,000 scale air photos. The Pan-sharpening method of image fusion permits most of the qualitative (spatial and spectral) parameters used in air photo interpretation to be available on satellite images. For more detailed investigation such as the evidence of shadow, positional relationships to streams and ridges, stereoscopic viewing using a pair of stereo-images can be used. The DEM created from IKONOS stereo images appears to be much more accurate, and sensitive to micro-scale terrain features, than a DEM created with digital contour data with 2m contour interval, when both are compared with a high resolution photogrammetric model. This terrain sensitivity permits interpretation of recent landslides, as small as 2-3m in width on pan-sharpened, stereo IKONOS images, as well as relict landslides over 50 years old.
机译:这项研究调查并演示了遥感技术的最新状况,该技术使用(i)来自IKONOS超高分辨率(VHR)传感器的单个和(ii)立体卫星图像对大面积进行详细的滑坡灾害评估。图像融合技术提供了使用单个图像进行详细滑坡解释的能力,这与从1:10,000比例的空中照片获得的图像可比性相当。图像融合的全锐化方法允许在航空图像解释中使用的大多数定性(空间和光谱)参数可用于卫星图像。对于更详细的调查,例如阴影证据,与溪流和山脊的位置关系,可以使用使用一对立体图像的立体观察。当将IKONOS立体图像与高分辨率摄影测量模型进行比较时,与使用2m轮廓间隔的数字轮廓数据创建的DEM相比,由IKONOS立体图像创建的DEM似乎更加准确,并且对微尺度地形特征敏感。这种地形敏感性可以解释最近的滑坡,在全锐化的立体IKONOS图像上宽度仅为2-3m,以及50年前的遗留滑坡。

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