生态学报2017，Vol.37Issue(22)：7698-7709,12.DOI:10.5846/stxb201609221908
基于无人机SfM数据的挺水植物生物量反演
Estimating biomass of emergent aquatic plants based on UAV SfM data
摘要
Abstract
Biomass is an important ecological parameter that is used to evaluate the growth condition of emergent plants in wetlands during ecosystem health assessments.This study used SfM (Structure from Motion) data generated from UAV images and field measurements of emergent plant biomass to establish a quantitative relationship between the SfM data and biomass,which was then used to map biomass in the study area.The influence of emergent plant types on the spatial distribution of biomass was analyzed.Our results show that a Stepwise Linear regression (SWL) model based on the SfM data had the best forecasting accuracy and ability (P＜0.01),with a coefficient of determination (R2) of 0.86 and an rRMSE of 6.1％.Emergent plant types had a significant influence (P＜0.05) on the spatial distribution of biomass in the study area.The results of this study provide a new quantitative method for retrieving growth parameters for emergent aquatic plants.关键词
挺水植物/生物量/无人机影像/运动重建结构(SfM)数据/回归分析Key words
emergent plants/biomass/UAV data/SfM data/regression analysis引用本文复制引用
井然,宫兆宁,赵文吉,邓磊,阿多,孙伟东..基于无人机SfM数据的挺水植物生物量反演[J].生态学报,2017,37(22):7698-7709,12.基金项目
国家国际科技合作专项资助(2014DFA21620) （2014DFA21620）
