Spot elevations published on historical U.S. Geological Survey topographic maps were established as needed to enhance information imparted by the quadrangle’s contours. In addition to other features, labels were routinely placed on mountain summits. While some elevations were established through field survey triangulation, many were computed during photogrammetric stereo-compilation. Today, Global Navigation Satellite System (GNSS) receivers have replaced expensive triangulation methods. However, since GNSS measurements require visiting the feature location, a national dataset containing high-accuracy spot elevations has not yet been created. Consequently, modern U.S. Topo maps are devoid of mountain peak or other spot elevations. Still, topographic map users continue to demand the display of spot heights. Therefore, a pilot study was conducted to evaluate the feasibility of automatically generating elevation values at named U.S. summits using available elevation data. The devised method uses an uphill stepping technique to find the most likely highest point in subsequently higher-resolution elevation models. Resulting elevation values are compared to other published sources. Results from 196 summits indicate that values derived from lidar are generally higher, whereas those populated from the one-third arc-second USGS Seamless 3DEP elevation dataset are generally lower. A thorough understanding of these relationships require the evaluation of more points.

根据需要建立了在美国历史地质调查局历史地形图上发布的点高程，以增强四边形轮廓所传递的信息。除了其他功能外，标签还经常贴在山顶上。尽管通过实地调查三角测量确定了一些高程，但在摄影测量立体编译过程中却计算了许多高程。如今，全球导航卫星系统（GNSS）接收器已经取代了昂贵的三角测量方法。但是，由于GNSS测量需要访问特征位置，因此尚未创建包含高精度点高程的国家数据集。因此，现代的美国Topo地图没有山峰或其他景点。尽管如此，地形图用户仍要求显示点高。因此，进行了一项初步研究，以评估使用可用的海拔数据在指定的美国峰会上自动生成海拔值的可行性。设计的方法使用上坡步进技术在随后的高分辨率高程模型中找到最可能的最高点。将得到的高程值与其他已发布的来源进行比较。196个峰的结果表明，从激光雷达得出的值通常较高，而从三分之一弧秒USGS Seamless 3DEP海拔数据集中填充的值通常较低。对这些关系的透彻理解需要更多的评估。设计的方法使用上坡步进技术在随后的高分辨率高程模型中找到最可能的最高点。将得到的高程值与其他已发布的来源进行比较。196个峰的结果表明，从激光雷达得出的值通常较高，而从三分之一弧秒USGS Seamless 3DEP高程数据集中填充的值通常较低。对这些关系的透彻理解需要更多的评估。设计的方法使用上坡步进技术在随后的高分辨率高程模型中找到最可能的最高点。将得到的高程值与其他已发布的来源进行比较。196个峰的结果表明，从激光雷达得出的值通常较高，而从三分之一弧秒USGS Seamless 3DEP高程数据集中填充的值通常较低。对这些关系的透彻理解需要更多的评估。