Original and process data of forest gap research

Published: 15 September 2025| Version 1 | DOI: 10.17632/dbb49jzp5p.1
Contributor:
Jianpeng Zhang

Description

This dataset includes the original data, process data and code of this paper: High-Accuracy Forest Gap Extraction from Airborne Laser Scanning Data by Refining the Traditional CHM

Files

Institutions

  • Yunnan Normal University

Categories

Forestry, Lidar Remote Sensing

Licence