西南林业大学学报2025，Vol.45Issue(3)：151-158,8.DOI:10.11929/j.swfu.202312042
集成Landsat和GOSAT卫星数据的森林碳储量估测研究
Research on Estimation of Forest Carbon Stock by Integrating Landsat and GOSAT Satellite Data
摘要
Abstract
Using the forests in Pu'er City,Yunnan Province as the research subject,the forest carbon concen-tration was inversely inferred using the GOSAT satellite's B2,B3,and B4 spectral channels.Highly correlated factors for forest carbon stock were extracted and selected from Landsat OLI multispectral images and DEM,and a GEOS-Chem model was constructed.Carbon flux was then inversely inferred,and through the conversion between carbon flux and carbon stock,the estimation of forest carbon stock was achieved.The results showed that the highly correlated factors for forest carbon stock were the Elevation,NDVI,R9Mean from the Landsat data,and the carbon concentration inverted by GOSAT.The optimal model for estimating forest carbon stock was GEOS-Chem2,with an R2 of 0.978 and P of 94.89％.Compared to the model GEOS-Chem1 constructed solely using GOSAT data(R2 of 0.847,P of 85.32％),the R2 and P were increased by 0.131 and 9.57％respectively.The estimated forest carbon stock in Pu'er City using the GEOS-Chem2 model was 4.253 × 107t,with an average car-bon stock of 19.356 t/hm2,and an overall estimation error of 4.69％.By integrating Landsat and GOSAT satellite data to construct the GEOS-Chem model,the estimation error of forest carbon stock in Pu'er City can be effect-ively reduced.The research results can provide reference for the exploration of high-precision remote sensing es-timation methods for forest carbon stock.关键词
森林/碳储量/碳卫星/碳通量/GEOS-Chem/GOSATKey words
forest/carbon stock/carbon satellite/carbon flux/GEOS-Chem/GOSAT分类
林学引用本文复制引用
王飞平,张加龙,曹军,杨正道,肖庆琳,杨坤,殷唐燕,程滔..集成Landsat和GOSAT卫星数据的森林碳储量估测研究[J].西南林业大学学报,2025,45(3):151-158,8.基金项目
云南省教育厅科学研究基金项目(2023Y0740)资助 （2023Y0740）
2020年云南省高层次人才培养支持计划"青年拔尖人才"专项(YNWR-QNBJ-2020-164)资助 （YNWR-QNBJ-2020-164）
国家自然科学基金项目(32260390,31860207)资助. （32260390,31860207）
