生态学杂志2026，Vol.45Issue(1)：266-275,10.DOI:10.13292/j.1000-4890.202601.019
基于Sentinel-2遥感数据的高分辨率竹林分布提取及地上生物量估算
High-resolution distribution extraction and aboveground biomass estimation of bamboo forests based on Sentinel-2 remote sensing data
摘要
Abstract
As an important carbon sink,the accurate estimation of aboveground biomass in bamboo forests is highly important for carbon cycle assessment,ecosystem carbon stock accounting,and the implementation of regional car-bon neutrality goals.To resolve the problems of high cost in traditional field surveys and insufficient accuracy of sin-gle remote sensing models,we proposed a methodological framework for estimating aboveground biomass in bamboo forests based on Sentinel-2 remote sensingdata.Firstly,by analyzing the time-series spectral characteristics of bam-boo forests in infrared,near-infrared and other bands,optimal variables were selected to construct a layer-by-layer remote sensing classification method cascaded by multiple machine learning models such as random forest(RF)and XGBoost.This method achieved high-precision separation of bamboo forests from other land-cover types with an overall accuracy exceeding 0.95,which built a spatial foundation for biomass estimation.Secondly,within the bam-boo distribution pixels,a model for estimating aboveground biomass was developed by integrating the random forest model with allometric equations.The biomass estimation achieved a coefficient of determination(R2)of 0.82,which outperformed single remote sensing models(with an average accuracy improvement of 28％).We applied this method to estimate the biomass of bamboo forests in Yanping District.The results showed that the aboveground bio-mass was 6.44×104 tons,with high-value areas mainly being concentrated in the southwestern,northwestern,and eastern parts of the district.This approach provided a low-cost,high-efficiency,and replicable solution for estima-ting aboveground biomass in bamboo forests,offering critical data support for regional carbon sink inventory compil-ation,forest carbon sink trading project design,and precision management of bamboo forest ecosystems.关键词
生物量估算/Sentinel-2遥感/机器学习/逐层分类/竹林Key words
biomass estimation/Sentinel-2 remote sensing/machine learning/layer by layer classification/bam-boo forest引用本文复制引用
姚晓婧,王大成,陈奕达,陈伟,焦越,纪占华,刘亚岚,易玲,项凤华..基于Sentinel-2遥感数据的高分辨率竹林分布提取及地上生物量估算[J].生态学杂志,2026,45(1):266-275,10.基金项目
中国科学院STS项目(2023T3080)和国家重点研发计划-政府间国际合作专项(2024YFE0198600)资助. （2023T3080）
