Civil engineering uses digital elevation models (DEMs) and orthophotos as basic material to be able to design and execute any project. UAV photogrammetry has made it possible to obtain this type of information in an economic and practical way. However, it is necessary to know the accuracy of the data and that it is within the admissible limits. There are many factors that affect the accuracy of products resulting from UAV photogrammetry. Of all of these, the effect of the number of ground control points (GCPs) and their distribution in the study area are especially significant. Different distributions of GCPs have been studied to try to optimize the products obtained by UAV photogrammetry. Of all the distributions tested, the best results were obtained with edge distribution and stratified distribution. Therefore, it is necessary to place GCPs around the edge of the study area to minimize planimetry errors. In addition, it is advisable to create a stratified distribution inside the study area with a density of around 0.5–1 GCP × ha⁻¹ to minimize altimetry errors. The combination of these two distributions minimizes the total error obtained.

土木工程使用数字高程模型（DEM）和正射影像作为基本材料，可以设计和执行任何项目。无人机摄影测量技术使得以经济实用的方式获取此类信息成为可能。但是，有必要知道数据的准确性，并且该数据在允许的范围内。有许多因素会影响无人机摄影测量法所产生产品的准确性。在所有这些中，地面控制点（GCP）的数量及其在研究区域中的分布的影响尤其显着。已经研究了GCP的不同分布，以尝试优化通过无人机摄影测量法获得的产品。在所有测试的分布中，通过边缘分布和分层分布可获得最佳结果。所以，必须将GCP放置在研究区域的边缘，以最大程度地减少平面误差。另外，建议在研究区域内分层分布，密度大约为0.5-1 GCP×ha^-1以最小化测高误差。这两个分布的组合使获得的总误差最小。