文献类型：期刊文献

中文题名：China’s larch stock volume estimation using Sentinel-2 and LiDAR data

作者：Tao Yu[1,2] Yong Pang[1,2] Xiaojun Liang[1,2] Wen Jia[1,2] Yu Bai[1,2] Yilin Fan[1,2] Dongsheng Chen[3] Xianzhao Liu[1] Guang Deng[1,2] Chonggui Li[4] Xiangnan Sun[1,2,5] Zhidong Zhang[6] Weiwei Jia[7] Zhonghua Zhao[3] Xiao Wang[8]

第一作者：余涛;Tao Yu

机构：[1]Institute of Forest Resource Information Techniques,Chinese Academy of Forestry,Beijing,China;[2]Key Laboratory of Forestry Remote Sensing and Information System,National Forestry and Grassland Administration,Beijing,China;[3]Key Laboratory of Tree Breeding and Cultivation of State Forestry Administration,Research Institute of Forestry,Chinese Academy of Forestry,Beijing,China;[4]College of Geomatics,Xi’an University of Science and Technology,Xi’an,China;[5]Academy of Inventory and Planning,National Forestry and Grassland Administration,Beijing,China;[6]College of Forestry,Hebei Agricultural University,Baoding,China;[7]College of Forestry,Northeast Forestry University,Harbin,China;[8]Ecology and Nature Conservation Institute,Chinese Academy of Forestry,Key Laboratory of Forest Ecology and Environment of National Forestry and Grassland Administration,Beijing,China

年份：2023

卷号：26

期号：3

起止页码：392-405

中文期刊名：Geo-Spatial Information Science

外文期刊名：地球空间信息科学学报（英文）

收录：Scopus;CSCD:【CSCD2023_2024】；PubMed;

基金：funded by the National Key Research and Development Program of China(grant number:2017YFD0600404);National Natural Science Foundation of China(grant number:41871278&32071759);forest parameter inversion by integrating LiDAR and multiple angle optical data for the terrestrial ecosystem carbon inventory satellite(2016K-10&YGD-202100105737-006-001).

语种：英文

中文关键词：Sentinel-2;LiDAR;stock volume;larch;validation

分类号：S71

摘要：Forest Stock Volume(FSV)is one of the key indicators in forestry resource investigation and management on local,regional,and national scales.Limited by the saturation problems of optical satellite remote-sensing imagery in the retrieving of stock volume,and the high cost of Light Detection And Ranging(LiDAR)data,it is still challenging to estimate FSV in a large area using single-sensor remote-sensing data.In this paper,a method integrated multispectral satellite imagery and LiDAR data was developed to map stock volume in a large area.A random forest model was adopted to estimate the stock volume of larch forest in China based on the training samples from the Airborne Laser Scanning(ALS)-derived stock volume and corresponding Sentinel-2 imagery.Validation using National Forest Inventory(NFI)data,ALS-derived stock volume and ground investigation data demonstrated that the estimated stock volume had a high accuracy(R2=0.59,RMSE=59.69 m^(3)/ha,MD=39.96 m^(3)/ha when validated with NFI data;R2 ranged from 0.77 to 0.85,RMSE ranged from 38.68 m^(3)/ha to 67.38 m^(3)/ha,MD ranged from 24.90 m^(3)/ha to 37.27 m^(3)/ha when validated with ALS stock volume;R2=0.42,RMSE=79.10 m^(3)/ha,MD=62.06 m^(3)/ha when validated with field investigation data).Results of this paper indicated the applicability of estimating stock volume of larch forest in a large area by combining Sentinel-2 data and airborne LiDAR data.