%0 Dataset
%T Unmanned aerial vehicle ground penetrating radar dataset at Yuzhong, Lanzhou in 2025
%J National Cryosphere Desert Data Center
%I National Cryosphere Desert Data Center(www.ncdc.ac.cn)
%U http://www.ncdc.ac.cn/portal/metadata/e38a1afc-e1b6-4f63-88fb-9d61558aa044
%W NCDC
%R 10.12072/ncdc.loess.db7345.2026
%A feng xuan
%K Unmanned aerial vehicle ground penetrating radar
%X Ground-penetrating radar (GPR) data is one of the effective geophysical methods for shallow subsurface structure exploration. However, traditional ground-based GPR surveys over large areas require substantial manpower and resources, and operations can be challenging in complex terrains. This study utilizes the DJI FlyCart 30 multirotor drone platform equipped with a self-developed 100 MHz pulsed GPR system. By applying a data processing workflow that includes background removal, gain adjustment, bandpass filtering, median filtering, and adaptive filtering, subsurface geological structures up to a depth of 7 meters were successfully detected. Compared to traditional ground-based GPR data, this dataset benefits from the drone platform’s flexibility, wide coverage, and high data acquisition efficiency. The dataset is suitable for applications such as identifying underground geological structures and assessing subsurface media properties in loess landslide areas, providing important data support for comprehensive research on loess landslides in the Lanzhou Yuzhong region.