西北林学院学报2024，Vol.39Issue(4)：224-231,8.DOI:10.3969/j.issn.1001-7461.2024.04.27
基于Landsat 8和Sentinel-1的广东青云山自然保护区森林生物量反演
Forest Biomass Inversion in Qingyunshan Nature Reserve,Guangdong Province Based on Landsat 8 and Sentinel-1 Data
摘要
Abstract
Forest is an important part of terrestrial ecosystem and plays an important role in global carbon cycle.Forest biomass research contributes to the deeper understanding of forest ecosystems.The inversion models of forest above-ground biomass for the forests occurring in the Qingyunshan Nature Reserve(QNR)in Wengyuan,Guangdong Province were constructed by employing methods of random forest(RF),support vector machine(SVM)based on such remote sensing data as Landsat 8 and Sentienl-1,and permanent sample plot data.The results showed that 1)the prediction accuracy of RF method was higher than that of SVM in the case of using either Landsat 8 or Sentienl-1,or both.2)From the angle of compre-hensive accuracy of remote sensing estimation,the order of data sources was cooperative remote sensing data＞optical remote sensing data＞synthetic aperture radar data.3)The average biomass of QNR was 132 t/hm2,ranging from 93 t/hm2 to 171 t/hm2,and the total biomass was 892 466 t.The results indicates that collaborative Landsat 8 and Sentienl-1 data sources and RF method plays important roles in the procedure of forest biomass estimation.关键词
生物量/青云山/随机森林/支持向量机Key words
forest biomass/Qingyunshan Nature Reserve/random forest/support vector machine分类
农业科技引用本文复制引用
周双云,徐誉远,莫罗坚,黄久香,王本洋..基于Landsat 8和Sentinel-1的广东青云山自然保护区森林生物量反演[J].西北林学院学报,2024,39(4):224-231,8.基金项目
广东翁源青云山省级自然保护区生物多样性与生态系统综合监测系统建设项目(QYSBHQ-2020-016). （QYSBHQ-2020-016）
