Systematic errors are the main factors affecting the accuracy of airborne LiDAR system. To attain high-precision airborne LiDAR data

it is of great theoretic and practical value to research the key techniques and methods to eliminate these systematic errors. In our paper we propose a new method for airborne LiDAR strip adjustment based on least Z-difference(LZD) algorithm and then introduce the Gauss-Markov model to improve the adjustment accuracy. Experimental results show that after reasonable parameters configuration of the Gauss-Markov model

our improved strip adjustment method can significantly improve the adjustment accuracy. The accuracy of airborne LiDAR data strip adjustment based on LZD can meet our project accuracy requirements. Compared to the commercial software TerraMatch

the LZD and TerraMatch accuracy are at the same level.