基于多源遥感数据的吉林省地表植被生物量模拟  

Simulating surface vegetation biomass in Jilin Province based on multi-source remote sensing data

作　　者：巩丽玮 杨学刚 吴琼[1] GONG Liwei;YANG Xuegang;WU Qiong(College of Geo-Exploration Science and Technology,Jilin University,Changchun 130026,China;Comprehensive Security Center of Housing and Urban-Rural Development Bureau,Building and Construction Authority of Tongliao City,Tongliao 028000,Inner Mongolia,China)

机构地区：[1]吉林大学地球探测科学与技术学院,长春130026 [2]通辽市住房和城乡建设局综合保障中心,内蒙古通辽028000

出　　处：《世界地质》2024年第2期282-289,共8页World Geology

基　　金：国家重点研发计划项目(2020YFA0714103)。

摘　　要：地表植被生物量是表征土壤碳储量的重要指标,为明确吉林省地表植被生物量时空分布变化及主要驱动因素,笔者基于多源遥感数据计算了吉林省地表植被生物量,以归一化植被指数、地表温度、土壤湿度、土地覆被数据、数字高程模型、坡度和坡向为驱动因素,通过2010—2015年及2015—2020年的地表植被生物量变化利用随机森林与元胞自动机耦合的模型分别模拟了2020年和2025年吉林省地表植被生物量的空间分布,随机森林的重要性排名表明归一化植被指数、地表温度、土壤湿度及土地覆被是影响吉林省地表植被生物量分布的关键驱动因素。Surface vegetation biomass is an important index to characterize soil carbon stocks.In order to clarify the temporal and spatial distribution of surface vegetation biomass in Jilin Province and the main driving factors,the authors calculated the surface vegetation biomass in Jilin Province based on multi-source remote sensing data.Using normalized difference vegetation index,land surface temperature,soil wet,land cover data,digital elevation model,slope gradient and aspect as the driving factors of the model,the model coupled with random forest and cellular automata was constructed to simulate the spatial distribution of surface vegetation biomass for 2020 and 2025,respectively,in Jilin Province based on the changes of surface vegetation biomass from 2010--2015 and 2015--2020.The importance ranking of random forest indicats that the normalized difference vegetation index,land surface temperature,soil wet and land cover data are the key driving factors affecting the distribution of surface vegetation biomass in Jilin Province.

关 键 词：地表植被生物量 随机森林 元胞自动机 驱动因素 吉林省 

分 类 号：P237[天文地球—摄影测量与遥感]