Ground error analysis of DTM extracted by airborne LiDAR in subtropical forest

doi:10.13474/j.cnki.11-2246.2021.347

Abstract

Abstract: LiDAR is one of the main measurement techniques used nowadays for the derivation of DTM. Ground errors have a significant influence on the accuracy of DTM generated by LiDAR. In particular, due to the complex under-forest vegetation structure of the subtropical forest, the DTM will be more complicated. Therefore, it is necessary to analyze the influence of ground errors on the under forest DTM generated by LiDAR. Taking Zengcheng Teaching and Research Base of South China Agricultural University as the study area, the paper discusses the influence of ground error on the accuracy of under forest DTM generated by airborne LiDAR data from forest canopy density and slope. The results show that the elevation RMSE will increase with canopy closure increasing while the elevation RMSE does not change significantly with the slope rising. However, the slope of 15 degrees is the watershed of the elevation RMSE. When the slope exceeds to 15 degrees, the elevation RMSE will rise rapidly. In general, the influence of canopy closure is more apparent on the accuracy of DTM generated by LiDAR.

Key words: LiDAR, DTM, subtropical forest, accuracy

CLC Number:

P237

WU Xiaotian, LI Huizhu, RUAN Fang, FENG Haoning, CHEN Mingqiang, WANG Changwei, WANG Bin. Ground error analysis of DTM extracted by airborne LiDAR in subtropical forest[J]. Bulletin of Surveying and Mapping, 2021, 0(11): 101-105.

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