Correction of Terrain Effects on Forest Canopy Height Estimation Using ICESat-2 and High Spatial Resolution Images

作     者：Li, Bin Zhao, Tianzhong Su, Xiaohui Fan, Guangpeng Zhang, Wenjie Deng, Zhuo Yu, Yonghui 

作者机构：Beijing Forestry Univ Sch Informat Sci & Technol Beijing 100083 Peoples R China Natl Forestry & Grassland Adm Engn Res Ctr ForestryOriented Intelligent Informa Beijing 100083 Peoples R China Beijing Forestry Univ Forestry Informat Res Inst Beijing 100083 Peoples R China Guangxi Gaofeng Forest Farm Nanning 530001 Peoples R China 

出 版 物：《REMOTE SENSING》 (遥感)

年 卷 期：2022年第14卷第18期

页      面：4453-4453页

核心收录：

学科分类：0830[工学-环境科学与工程（可授工学、理学、农学学位）] 1002[医学-临床医学] 070801[理学-固体地球物理学] 07[理学] 08[工学] 0708[理学-地球物理学] 0816[工学-测绘科学与技术] 

基　　金：China National Key R&D Program during the 13th Five-year Plan Period [2017YFD0600906] National Natural Science Foundation of China 

主　　题：ICESat-2 ATLAS canopy height model slope multi-resolution segmentation correction 

摘      要：The Ice, Cloud, and Land Elevation Satellite-2 (ICESat-2) carries the Advanced Topographic Laser Altimeter System (ATLAS), enabling global canopy height measurements from forest canopy height models (CHMs). Topographic slope is a crucial factor affecting the accuracy of canopy height estimates from ICESat-2 CHMs, but it has not been sufficiently studied. This paper aims to eliminate the influence of slope on canopy height estimates from ICESat-2 data and establishes a method for correcting forest canopy heights based on high spatial resolution digital orthophoto maps (DOM). The cross-track photons are corrected horizontally to eliminate the estimation error. Multi-resolution segmentation is used to segment tree crowns in the DOM, and the distance and relative position between the top of canopy (TOC) photons and the center point of the crown are calculated. TOC photon correction rules are established for different terrains, and the vertical error of the TOC photons is corrected. The results indicate that the vertical error increases exponentially with the slope. The cross-track photon correction and the TOC photon correction method eliminate the effect of slope on canopy height estimates. The cross-track photon correction method reduces the mean absolute error (MAE) and root mean square error (RMSE) of the canopy height estimates by 35.71% and 35.98%, respectively. The TOC photon correction approach further reduces the MAE and RMSE by 23% and 19.23%, respectively. The proposed method has significantly higher accuracy for forest canopy height estimation using ICESat-2 data than the traditional method.