草业科学2025，Vol.42Issue(8)：1911-1921,11.DOI:10.11829/j.issn.1001-0629.2024-0107
甘南玛曲高寒草甸植物群落碳、氮、磷含量的高光谱反演
Research on hyperspectral inversion of carbon,nitrogen,and phosphorus contents in alpine meadow grassland communities in Maqu,Gannan
摘要
Abstract
Gannan Maqu,a crucial water conservation and supply area in the upper reaches of the Yellow River,is predominantly covered by alpine meadows.Investigating the carbon(C),nitrogen(N),and phosphorus(P)content characteristics of grassland plant communities is essential for understanding their growth status.Traditional methods for measuring vegetation physiological and biochemical parameters are time-consuming and labor-intensive,with inherent limitations in spatiotemporal scale.Hyperspectral remote sensing is an effective tool used in environmental monitoring and research.In this study,we collected plant samples and canopy spectral information from alpine meadows in Maqu and employed partial least squares regression(PLSR)and random forest(RF)models to invert the total C(TC),N(TN),and P(TP)contents of the plant communities.The results demonstrated that:1)Based on the coefficient of determination(R2)and root mean square error(RMSE),the PLSR model achieved the best performance for TC and TN inversion,whereas no significant correlation was found for TP,precluding model establishment.2)Key variables for TC inversion included the modified red-edge ratio vegetation index(mSR705)and spectral bands at 1913,1 870,and 758 nm,whereas important indicators for TN involved the normalized difference nitrogen index(NDNI),reflectance at 724 nm,and mSR705.This research confirms that hyperspectral data can accurately invert TC and TN contents in alpine meadow plant communities,thereby establishing a methodological foundation for rapidly monitoring grassland resource management effectiveness and restoration dynamics.关键词
高寒草甸/植被指数/光谱特征/高光谱反演/偏最小二乘法/随机森林/草地监测Key words
alpine meadow/vegetation index/spectral characteristics/hyperspectral inversion/partial least squares method/random forest/grassland monitoring引用本文复制引用
姜佳昌,刘兴明,孙斌,李霞,吴丹丹..甘南玛曲高寒草甸植物群落碳、氮、磷含量的高光谱反演[J].草业科学,2025,42(8):1911-1921,11.基金项目
林草科技创新与国家合作项目(lckjcx202303) （lckjcx202303）
甘南高寒草地典型生态系统固碳速率及其驱动因子研究项目(lckjcx202303) （lckjcx202303）
