广西林业科学2024，Vol.53Issue(1)：10-17,8.DOI:10.19692/j.issn.1006-1126.20240102
基于无人机多光谱的高山松地上生物量估测
Estimation of Pinus densata Above-ground Biomass Based on UAV Multi-spectrum
摘要
Abstract
Using airborne data instead of satellite images to improve accuracy of forest biomass estimation is key field of forestry remote sensing research.UAV multi-spectral image data acquisition was carried out in Pinus densata forests.Based on measured data of 36 sample sites,the best observation window for P.densata above-ground biomass was determined by variance function.Five factors with strong correlations were extract-ed and screened,and PLS and RF models were established respectively to estimate P.densata above-ground biomass in flight area.Results showed that the best observation window for P.densata above-ground biomass was variable range α value of 5.2 m in spherical model.RF model(R2=0.90,RMSE=17.96 t/hm2,P=84.98%)was superior to PLS model(R2=0.55,RMSE=38.94 t/hm2,P=71.13%).Based on RF model,average P.densata above-ground biomass in flight area was 130.48 t/hm2,and total biomass was 8 343.53 t.关键词
无人机/变异函数/生物量/高山松Key words
UAV/variance function/biomass/Pinus densata分类
林学引用本文复制引用
杨正道,舒清态,黄金君,周文武,胥丽,罗绍龙,王书伟..基于无人机多光谱的高山松地上生物量估测[J].广西林业科学,2024,53(1):10-17,8.基金项目
国家自然科学基金项目(31860205,31460194) （31860205,31460194）
