 The Neistrom-based spectral clustering, NSC, algorithm was proposed to decrease computational burden in individual tree segmentation using point cloud data, resulting in good performance for 32 plots in China and Europe with an overall matching rate of 69% and extraction rate of 103%. The method also showed improvement of 7% for the average matching rate in a benchmark dataset. This article was authored by Yong Pang, Wei Wei Wang, Liming Du, and others.