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High-resolution mapping of spatial heterogeneity in ice wedge polygon geomorphology near Prudhoe Bay, Alaska
Scientific Data ( IF 5.8 ) Pub Date : 2020-03-10 , DOI: 10.1038/s41597-020-0423-9
Charles J Abolt 1, 2, 3 , Michael H Young 2
Affiliation  

It is well known that microtopography associated with ice wedge polygons drives pronounced, meter-scale spatial gradients in hydrologic and ecological processes on the tundra. However, high-resolution maps of polygonal geomorphology are rarely available, due to the complexity and subtlety of ice wedge polygon relief at landscape scales. Here we present a sub-meter resolution map of >106 discrete ice wedge polygons across a ~1200 km2 landscape, delineated within a lidar-derived digital elevation model. The delineation procedure relies on a convolutional neural network paired with a set of common image processing operations and permits explicit measurement of relative elevation at the center of each ice wedge polygon. The resulting map visualizes meter- to kilometer-scale spatial gradients in polygonal geomorphology across an extensive landscape with unprecedented detail. This high-resolution inventory of polygonal geomorphology provides rich spatial context for extrapolating observations of environmental processes across the landscape. The map also represents an extensive baseline dataset for quantifying contemporary land surface deformation (i.e., thermokarst) at the survey area, through future topographic surveys.



中文翻译:


阿拉斯加普拉德霍湾附近冰楔多边形地貌空间异质性的高分辨率测绘



众所周知,与冰楔多边形相关的微地形在苔原上的水文和生态过程中驱动了明显的米级空间梯度。然而,由于景观尺度上冰楔多边形地形的复杂性和微妙性,多边形地貌的高分辨率地图很少可用。在这里,我们展示了一个亚米级分辨率的地图,该地图由超过 10 6 个离散冰楔多边形组成,横跨约 1200 km 2的景观,并在激光雷达衍生的数字高程模型中进行了描绘。描绘过程依赖于与一组常见图像处理操作配对的卷积神经网络,并允许明确测量每个冰楔多边形中心的相对高程。由此产生的地图以前所未有的细节可视化了广阔景观中多边形地貌中米到公里尺度的空间梯度。这种高分辨率的多边形地貌清单为推断整个景观的环境过程观测提供了丰富的空间背景。该地图还代表了广泛的基线数据集,用于通过未来的地形调查来量化调查区域的当代陆地表面变形(热岩溶)。

更新日期:2020-03-10
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