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An object-based image analysis approach for mapping and monitoring flooding and topographic change near Duluth, Minnesota, USA

机译:基于对象的绘图和监测洪水和地形改变的图像分析方法,达特特 - 美国明尼苏达州Minnesota附近

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A short-term precipitation event near Duluth, Minnesota, USA caused flooding, erosion, and deposition that impacted the natural and anthropogenic landscape. This study quantified these impacts with an object-based image analysis approach that integrated multi-temporal lidar and optical data. Flooding inundated 3% of the study area and impacted 28% of the buildings. Topographic change volumes from erosion and deposition ranged from 36.3 m to ?32.2 m. Erosion occurred over 21% of the area while deposition occurred over 11% of the area. These results provide decision managers with a spatially-explicit framework for assessing and monitoring inundation and topographic change in response short-term precipitation events.
机译:美国明尼苏达州Duluth附近的短期降水事件导致洪水,侵蚀和沉积,影响自然和人为景观。 该研究通过集成了多时间激光雷达和光学数据的基于对象的图像分析方法量化了这些影响。 洪水淹没了3%的研究区,并影响了28%的建筑物。 从侵蚀和沉积的地形变化卷从36.3米到32.2米。 侵蚀发生在该地区的21%以上,而沉积发生超过该区域的11%。 这些结果提供了决策管理人员,用于评估和监测响应短期降水事件的淹没和地形变化的空间显式框架。

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