基于随机森林模型的呼中冻土区土壤碳空间分布特征OA北大核心
The Spatial Distribution Characteristics of Soil Carbon in Typical Frozen Soil Areas of Huzhong Based on Random Forest Model
以大兴安岭呼中典型冻土区为研究对象,研究表层(0~15、15~30 cm)土壤碳储量空间分布规律.通过野外调查、采样和室内分析,基于Landsat 8 OLI影像,利用随机森林(RF)算法建模,分析大兴安岭冻土区表层土壤有机碳空间分布状况.在13个遥感变量因子中筛选相关性最高变量,确定海拔、ARVI、VIGreen、EVI、OSAVI、NDVI,6个环境变量相关性最高,可作为自变量.结果表明,当节点分裂次数(leaf)值为5,决策树数量(trees)值为900时,预测模型的训练集和测试集最为接近,表明此时的模型稳定性最好,0~15、15~30 cm土层训练集R2 的拟合精度分别为0.23、0.43,测试集R2 的拟合精度分别为0.35、0.24.以此参数预测表层(0~15、15~30 cm)土壤碳储量空间土壤碳空间分布状况分布特征,0~15和15~30 cm土壤碳密度平均值为7.40 kg/m2和14.80 kg/m2,0~15 cm土层土壤碳储量分布大致为由南向北逐渐增加,15~30 cm土层土壤碳储量分布差异不明显,但南向略高于北向.
Taking the typical frozen soil area of Da Xing'an Ling Huzhong as example,the spatial distibution law of soil carbon storage in the suface layer(0-15,15-30 cm)was studied.Through field investigation,sampling and indoor anlysis,the reflectance of seven bands based on Landsat 8 OLI images was modeled using the Random Forest(RF)algorithm to analyze the spatial distribu-tion of surface soil organic carbon in the permafrost region of the Da Xing'an Ling.The highest correlation variable was selected among 13 remote sensing variables,and six environmental variables of altitude,ARVI,VIGreen,EVI,OSAVI,NDVI were identi-fied as the highest correlation variables and could be used as independent variables.The results showed that with a leaf value of 5 and a tree value of 900,the training and test sets of the prediction model were closest,indicating that the model stability was the best at this time.The fitting accuracy of training set R2 of 0-15,15-30 cm soil layer was 0.23 and 0.43,the fitting accuracy of test set R2 was 0.35 and 0.24.Using this parameter to predict the spatial distribution characteristics of soil carbon stock in the surface layer(0-15,15-30 cm),0-15 cm and 15-30 cm average soil carbon density was 7.40 kg/m2 and 14.80 kg/m2,respectively.The distribution of soil carbon content in 0-15 cm soil layer gradually increased from north to south,and there was no significant difference in soil carbon distribution in 15-30 cm soil layer,but slightly higher in the south than in the north.
杜倩;王岩;万祖梁;赵昶;刘学;梁素钰
黑龙江省生态研究所,哈尔滨 150081||黑龙江省生态研究所 森林生态与林业生态工程重点实验室,哈尔滨 150081黑龙江省生态研究所,哈尔滨 150081
农业科学
GIS土壤碳储量冻土RF模型大兴安岭
GISsoil carbon stockfrozen soilRF modelDa Xing'an Ling
《森林工程》 2025 (001)
100-107 / 8
黑龙江省省属科研院所科研业务费项目(CZKYF2022-1-C030).
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