Criteria for the optimal selection of remote sensing images to map event landslides
Criteria for the optimal selection of remote sensing images to map event landslides
复制标题
用于绘制事件滑坡地图的遥感图像的最佳选择标准
DOI：
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发表时间：
2017
期刊：
影响因子：
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通讯作者：
Guzzetti
中科院分区：
文献类型：
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作者：
F. Fiorucci;D. Giordan;M. Santangelo;F. Dutto;M. Rossi;Fausto;Guzzetti
我们执行了一项实验来确定图像特征对事件滑坡制图的影响。在实验中，我们比较了意大利中部翁布里亚的阿西尼亚诺滑坡的八张地图。通过专家对单视场和伪立体的视觉解释，获得了六张地图（2.5D），超分辨率2014年4月14日，由CarbonCore 950六轴飞行器在15号滑坡上空使用佳能EOS M摄影机拍摄的（3 × 3厘米）图像，包括单视场和立体、真彩色和假彩色合成图像，WorldView-2卫星也于2014年4月14日拍摄的1.84 × 1.84米分辨率图像。第七幅地图是通过实地勘察绘制的，并得到了Goggle EarthTM上2013年7月8日拍摄的会前卫星图像以及手持相机在实地拍摄的彩色照片的帮助。由专业地貌学家使用StereoTM硬件技术结合ERDAS IMAGINE®和Leica Photogrammetry Suite（LPS）20软件对图像进行视觉解读。第八幅地图，我们认为是显示“地面实况”的参考资料，是通过真实的实时动态差分全球定位系统测量获得的，测量方法是沿着滑坡周边行走全球定位系统接收器，每隔约5米采集一次精确度为厘米的地理坐标。Assignano滑坡的八张地图存储在GIS中，并采用成对的方法进行比较。通过误差指数E量化的比较结果显示，在滑坡特征主要是摄影的地方（在滑坡源和运输区），使用更高分辨率的图像获得了最佳制图结果，而在滑坡特征主要是形态测量的地方（在滑坡存款中），使用立体图像获得了最佳结果。事实证明，超分辨率图像在绘制滑坡图方面非常有效，其结果与使用立体卫星图像获得的结果相当。相反，实地勘测测绘的结果最差，测绘误差很大，证实了在实地绘制准确的滑坡图的困难。虽然进行了一个单一的滑坡，我们认为，我们的30个结果是一般的，并提供有用的信息，以决定最佳的图像生产的事件，季节性和多时相的滑坡库存地图。自然灾害地球系统科学讨论。doi：10.5194/nhess-2017-111，2017 Mandarin pt under review for journal Nat. Hazards Earth Syst. Sci.讨论开始日期：2017年4月3日c ©作者2017。CC-BY 3.0许可证。
We executed an experiment to determine the effects of image characteristics on event landslide mapping. In the experiment, we compared eight maps of the same landslide, the Assignano landslide, in Umbria, central Italy. Six maps were obtained through the expert visual interpretation of monoscopic and pseudo-stereoscopic (2.5D), ultra-resolution (3 × 3 cm) images taken on 14 April 2014 by a Canon EOS M photographic camera flown by an CarbonCore 950 hexacopter over the 15 landslide, and of monoscopic and stereoscopic, true-colour and false-colour-composite, 1.84 × 1.84 m resolution images taken by the WorldView-2 satellite also on 14 April 2014. The seventh map was prepared through a reconnaissance field survey aided by a pre-event satellite image taken on 8 July 2013, available on Goggle EarthTM, and by colour photographs taken in the field with a hand-held camera. The images were interpreted visually by an expert geomorphologist using the StereoMirrorTM hardware technology combined with the ERDAS IMAGINE® and Leica Photogrammetry Suite (LPS) 20 software. The eighth map, which we considered our reference showing the “ground truth”, was obtained through a Real Time Kinematic differential GPS survey conducted by walking a GPS receiver along the landslide perimeter to capture geographic coordinates every about 5 m, with centimetre accuracy. The eight maps of the Assignano landslide were stored in a GIS, and compared adopting a pairwise approach. Results of the comparisons, quantified by the error index E, revealed that where the landslide signature was primarily photographical (in the landslide source and transport area) the best mapping 25 results were obtained using the higher resolution images, and where the landslide signature was mainly morphometric (in the landslide deposit) the best results were obtained using the stereoscopic images. The ultra-resolution image proved very effective to map the landslide, with results comparable to those obtained using the stereoscopic satellite image. Conversely, the field-based reconnaissance mapping provided the poorest results, measured by large mapping errors, and confirmed the difficulty in preparing accurate landslide maps in the field. Albeit conducted on a single landslide, we maintain that our 30 results are general, and provide useful information to decide on the optimal imagery for the production of event, seasonal and multi-temporal landslide inventory maps. Nat. Hazards Earth Syst. Sci. Discuss., doi:10.5194/nhess-2017-111, 2017 Manuscript under review for journal Nat. Hazards Earth Syst. Sci. Discussion started: 3 April 2017 c © Author(s) 2017. CC-BY 3.0 License.