干旱区生态环境知识资源中心(Arid): 博斯腾湖湖滨绿洲土壤电导率高光谱估算模型

Arid

	博斯腾湖湖滨绿洲土壤电导率高光谱估算模型
其他题名	Hyperspectral estimation model of the soil conductivity in the lakeside oasis of Bosten Lake,China
	赵慧; 李新国; 牛芳鹏; 靳万贵; 麦麦提吐尔逊·艾则孜
来源期刊	中国土壤与肥料
ISSN	1673-6257
出版年	2021
期号	2 页码:1673-6257
中文摘要	以博斯腾湖湖滨绿洲为研究区,采用分数阶微分对光谱指数进行波段优化,筛选高光谱数据的特征波段,利用偏最小二乘回归(PLSR)和支持向量机(SVM)构建土壤电导率高光谱数据的估算模型。研究结果表明:(1)分数阶微分的高光谱数据与土壤电导率的相关性:随着分数阶微分阶数的增加,特征波段数呈现逐渐增加的趋势,2阶是特征波段数量最多的阶数,特征波段数量为335(P=0.01),相关系数绝对值最大为0.64。(2)分数阶微分优化光谱指数的高光谱数据:随着分数阶微分阶数的增加,光谱矩阵图表现为相关系数在正负值之间波动较大,0.8阶在光谱指数DSI的相关系数绝对值最大为0.75;平方根、对数、倒数的相关系数绝对值最大为0.64。(3)基于PLSR和SVM构建土壤电导率估算模型:基于0.8阶微分和光谱指数DSI筛选的特征波段建立的估算模型估算效果较好,其中SVM构建的估算模型最优,模型精度为R_(SVMc)~2=0.89,RMSE_(SVMc)=0.03,R_(SVMv)~2=0.80,RMSESVMv=1.12。利用SVM估算模型可以有效地对研究区土壤电导率进行定量估算。
英文摘要	Taking the oasis of lake Bosten Lake as the research area,the spectral index was optimized by fractional differential,the characteristic bands of the hyperspectral data were screened,and the estimation model of the soil conductivity hyperspectral data was constructed by partial least square regression(PLSR)and support vector machine(SVM).The results show that:(1)The correlation between the fractional-order differential hyperspectral data and soil conductivity showed that as the fractional-order differential order increased,the number of characteristic bands gradually increased.The second order was the order with the largest number of characteristic bands,the number of characteristic bands is 335(P=0.01),and the maximum absolute value of the correlation coefficient was 0.64.(2)The hyperspectral data of the fractional differential optimtzation spectral index shows that with the increase of the fractional-order differential order,the spectral matrix chart showed that the correlation coefficient fluctuated greatly between positive and negative values,and the absolute value of the correlation coefficient of the 0.8 order the spectral index DSI was the maximum 0.75.The maximum absolute value of the correlation coefficient of the square root,the logarithm,and the reciprocal was 0.64.(3)The soil conductivity estimation model was constructed based on PLSR and SVM.The estimation model based on characteristic bands selected by the 0.8 order differential and spectral index DSI had a good estimation effect.The estimation model constructed by SVM was the best,and the model accuracy was R_(SVMc)~2=0.89,RMSE_(SVMc)=0.03,R_(SVMv)~2=0.80,RMSESVMv=1.12.The SVM estimation model could be used to quantitatively estimate the soil conductivity in the study area.
中文关键词	土壤电导率 ; 分数阶微分 ; 光谱指数 ; 特征波段 ; 湖滨绿洲
英文关键词	soil conductivity fractional differential spectral index characteristic band lakeside oasis
类型	Article
语种	中文
国家	中国
收录类别	CSCD
WOS类目	Agriculture
CSCD记录号	CSCD:6965533
来源机构	新疆师范大学
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/365484
作者单位	赵慧, 新疆师范大学地理科学与旅游学院;;新疆干旱区湖泊环境与资源实验室, ;;新疆干旱区湖泊环境与资源实验室, 乌鲁木齐;;乌鲁木齐, 新疆;;新疆 830054;;830054, 中国.; 李新国, 新疆师范大学地理科学与旅游学院;;新疆干旱区湖泊环境与资源实验室, ;;新疆干旱区湖泊环境与资源实验室, 乌鲁木齐;;乌鲁木齐, 新疆;;新疆 830054;;830054, 中国.; 牛芳鹏, 新疆师范大学地理科学与旅游学院;;新疆干旱区湖泊环境与资源实验室, ;;新疆干旱区湖泊环境与资源实验室, 乌鲁木齐;;乌鲁木齐, 新疆;;新疆 830054;;830054, 中国.; 靳万贵, 新疆师范大学地理科学与旅游学院;;新疆干旱区湖泊环境与资源实验室, ;;新疆干旱区湖泊环境与资源实验室, 乌鲁木齐;;乌鲁木齐, 新疆;;新疆 830054;;830054, 中国.; 麦麦提吐尔逊·艾则孜, 新疆师范大学地理科学与旅游学院;;新疆干旱区湖泊环境与资源实验室, ;;新疆干旱区湖泊环境与资源实验室, 乌鲁木齐;;乌鲁木齐, 新疆;;新疆 830054;;830054, 中国.
推荐引用方式 GB/T 7714	赵慧,李新国,牛芳鹏,等. 博斯腾湖湖滨绿洲土壤电导率高光谱估算模型[J]. 新疆师范大学,2021(2):1673-6257.
APA	赵慧,李新国,牛芳鹏,靳万贵,&麦麦提吐尔逊·艾则孜.(2021).博斯腾湖湖滨绿洲土壤电导率高光谱估算模型.中国土壤与肥料(2),1673-6257.
MLA	赵慧,et al."博斯腾湖湖滨绿洲土壤电导率高光谱估算模型".中国土壤与肥料 .2(2021):1673-6257.