文献类型：会议论文

英文题名：ESTIMATION OF CONIFEROUS FOREST HEIGHT USING STEREO IMAGES OF GF-7 SATELLITE AND AIRBORNE LIDAR DATA

作者：Liu, Qingwang[1,2] Li, Zengyuan[1,2] Li, Shiming[1,2] Zhang, Wenbo[1,2,3] Zhu, Junfeng[1,2,3]

第一作者：刘清旺;Liu, Qingwang

通信作者：Liu, QW[1];Liu, QW[2]

机构：[1]Chinese Acad Forestry, Inst Forest Resource Informat Tech, Beijing 100091, Peoples R China;[2]Natl Forestry & Grassland Adm, Key Lab Forestry Remote Sensing & Informat Syst, Beijing 100091, Peoples R China;[3]China Univ Min & Technol, Coll Geosci & Surveying Engn, Beijing 100083, Peoples R China

会议论文集：IEEE International Geoscience and Remote Sensing Symposium (IGARSS)

会议日期：JUL 17-22, 2022

会议地点：Kuala Lumpur, MALAYSIA

语种：英文

外文关键词：GF-7; DTM; LiDAR; point cloud

年份：2022

摘要：Forest height is a key parameter of forest spatial structure, which is useful for forest management and ecosystem modelling. High resolution stereo images of satellite can be used to reconstruct the surface of ground objects. The objective of this study is to estimate the coniferous forest height combining stereo images of Gaofen-7 (GF-7) satellite and digital terrain model (DTM) extracted from airborne light detection and ranging (LiDAR). The study site is characterized by boreal coniferous forest located in the northern China. The dense point cloud from stereo images was normalized by subtracting the LiDAR DTM. The forest height was estimated by linear regression between the extracted features of normalized point cloud and the field measurements of stand height. The results shown that the values of estimated height were high correlated with the height percentile of 50% (R-2 = 0.79, RMSE = 2.34m). The stereo images of GF-7 satellite have the great potential for regional forest monitoring.