库布齐沙漠人工灌木林生物量的遥感估测模型构建  

Construction of Remote Sensing Model for Biomass Estimation of Artificial Shrubbery in Kubuqi Desert

作　　者：郭玉东[1] 张秋良[1] 张榕 陈晓燕[2] 弥宏卓 Guo Yudong;Zhang Qiuliang;Zhang Rong;Chen Xiaoyan;Mi Hongzhuo(Inner Mongolia Agricultural University;Inner Mongolia Academy of Social Science;Inner Mongolia Forestry and Grassland Monitoring and Planning Institute)

机构地区：[1]内蒙古农业大学林学院,呼和浩特010010 [2]内蒙古社会科学院 [3]内蒙古林业和草原监测规划院 [4]内蒙古农业大学,呼和浩特010010

出　　处：《东北林业大学学报》2022年第9期56-60,共5页Journal of Northeast Forestry University

基　　金：内蒙古自治区应对气候变化及低碳发展专项资金项目(内发改环资字[2016]615号)。

摘　　要：以库布齐沙漠沙柳(Salix psammophila)、柠条锦鸡儿(Caragana korshinskii)、沙棘(Hippophae rhamnoides)、杨柴(Corethrodendron fruticosum var.mongolicum)4种主要人工灌木林为研究对象,设置柠条锦鸡儿样地69块、沙棘样地53块、沙柳样地59块、杨柴样地39块,对每个样地选取1株标准株进行样品收集,计算全株生物量(含地下生物量)及样地生物量;以样地人工灌木林全株生物量为评价指标,以2017年陆地卫星8号携带的运营性陆地成像仪(Landsat 8 OLI)卫星遥感影像数据的遥感影响因素6个波段反射值(蓝光波段(B_(2))、绿光波段(B_(3))、红光波段(B_(4))、近红外波段(B_(5))、短波红外波段1(B_(6))、短波红外波段2(B_(7))),依据样地调查数据计算的植被影响因素5个植被指数(归一化植被指数(I_(V,ND))、增强型植被指数(I_(V,E))、比值植被指数(I_(V,R))、土壤调整植被指数(I_(V,SA))、修正的土壤调节植被指数(I_(V,MSA)))为影响因素,应用逐步回归法,构建库布齐沙漠4种人工灌木林生物量(W)的遥感估测模型,探索提升估测库布齐沙漠人工灌木林生物量及生态系统碳储量精度的方法。结果表明:与柠条锦鸡儿林生物量相关性较高的遥感影响因素为B_(2)波段反射值(ε_(B2))、B_(6)波段反射值(ε_(B6)),与沙棘林生物量相关性较高的遥感影响因素为I_(V,R)、I_(V,MSA),与沙柳林生物量相关性较高的遥感影响因素为I_(V,ND)、I_(V,SA),与杨柴林生物量相关性较高的遥感影响因素为B_(6)波段反射值(ε_(B6))。经相关分析,筛选出与生物量相关性较高的影响因素,应用逐步回归法,建立了柠条锦鸡儿、沙棘、沙柳、杨柴4种灌木林生物量的遥感估测模型;柠条锦鸡儿林生物量的遥感估测模型为多元线性回归方程,沙棘、沙柳和杨柴均为一元归线回性模型。柠条锦鸡儿林生物量的遥感估测最优模型为W_(NT)=4.364-0.008ε_(B2)+0.002ε_(B6),决定系数(R^(2))为0.4Four typical artificial shrubbery(Caragana korshinskii,Hippophae rhamnoides,Salix psammophila and Corethrodendron fruticosum var.mongolicum)in Kubuqi desert area were selected as the research object,and 69 plots,53 plots,59 plots,and 39 plots were set up,respectively.One standard plant was selected from each plot for sample collection,and the whole plant biomass(including underground biomass)and plot biomass were calculated.The biomass of whole plant of artificial shrubbery in the sample plot was taken as the evaluation index,with the operational land imager carried by Landsat 8 in 2017(Landsat 8 OLI)satellite remote sensing image data are affected by the reflection values of six bands(blue light band(B_(2)),green light band(B_(3)),red light band(B_(4)),near-infrared band(B_(5)),short-wave infrared band 1(B_(6)),short-wave infrared band 2(B_(7)),according to the sample survey data calculation of vegetation factors five vegetation index(normalized difference vegetation index(I_(V,ND)),enhanced vegetation index(I_(V,E)),the ratio vegetation index(I_(V,R)),soil adjusted vegetation index(I_(V,SA)),modified soil vegetation index(I_(V,MSA))for influence factors of the stepwise regression method.A remote sensing estimation model for four kinds of artificial shrubbery biomass(W)in the Kubuqi desert was constructed,and a method to improve the estimation accuracy of artificial shrubbery biomass and ecosystem carbon storage in the Kubuqi Desert was explored.The remote sensing influencing factors with higher correlation with Caragana korshinskii forest biomass were B_(2)band reflection value(ε_(B2))and B_(6)band reflection value(ε_(B6)),the remote sensing influencing factors with higher correlation with Hippophae rhamnoides forest biomass were I_(V,R)and I_(V,MSA),the remote sensing influencing factors with higher correlation with Salix psammophila forest biomass were I_(V,ND)and I_(V,SA).And the reflection value of band B_(6)(ε_(B6))was the influencing factor with high correlation with Corethrodendron fruticosum var.mong

关 键 词：灌木林 生物量 估测生物量模型 遥感 库布齐沙漠 

分 类 号：S758[农业科学—森林经理学] S718[农业科学—林学]