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Coupling field and satellite data for an event-based landslide inventory

机译:基于事件的滑坡清单的场和卫星数据耦合

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Following the extreme precipitation and flooding, western and central parts of Serbia suffered massive landsliding at unprecedented rates in mid May 2014. Due to a lack of national landslide inventory and institutional consensus, regarding governmental and scientific stakeholders responsible for landslides, the May 2014 landsliding was not approached systematically until BEWARE project commenced. In the framework of the project, a practical approach for fusing landslide data was implemented for selected pilot areas: Bajina Bašta, Ljubovija and Krupanj. Approach involves field mapping and satellite image analysis across different scales. The innovative part includes techniques for collecting field data, satellite image analysis by means of visual and semi-automated classification across different scales. Landslide inventory of the target areas can be efficiently provided by proposed approach in a relatively short time but with certain expenses, while fusing across scales seems very promising for lowering these expenses for some future event-based landslide mapping campaigns.
机译:继极端降雨和洪灾之后,塞尔维亚西部和中部地区在2014年5月中旬以前所未有的速度遭受了大规模的滑坡。由于缺乏全国性滑坡清单和机构共识,关于负责滑坡的政府和科学利益相关者,2014年5月发生了滑坡。在BEWARE项目开始之前,尚未系统地与之联系。在该项目的框架内,为选定的试点地区(BajinaBašta,Ljubovija和Krupanj)实施了一种融合滑坡数据的实用方法。该方法涉及跨不同比例尺的野外制图和卫星图像分析。创新部分包括用于收集野外数据的技术,通过视觉和半自动分类在不同尺度上进行卫星图像分析的技术。通过提议的方法,可以在相对较短的时间内有效地提供目标区域的滑坡清单,但要有一定的费用,而跨比例尺的融合对于降低某些未来基于事件的滑坡测绘活动的费用似乎很有希望。

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