<b>Assessing influential factors and refining GEDI L2A data for large-scale building height retrieval</b>

This study provides a valuable reference for the efficient generation of high-quality GEDI footprint data for building height retrieval. Based on the proposed GEDI data filtering method, we downloaded and processed the GEDI L2A V2 data for China in the year 2020 to generate high-quality GEDI data for building height retrieval. Ultimately, 973,608 high-quality GEDI footprints were obtained for China's built-up areas, effectively illustrating building heights. GEDI footprints are significantly sparser in southern China than in the north. Among these footprints, the maximum RH98 value is 148.01 m, the minimum value is 1.08 m, and the mean value is 13.26 m. Two distinct peaks are evident at RH98 values of approximately 7 m and 20 m, respectively. Additionally, it can be observed that building heights are notably higher in central and southern China compared to the northern and northwestern regions. These high-quality GEDI data provide accurate building height information and may contribute to map large-scale building height.