基于HICO波段的滨海土壤盐分遥感反演研究

doi:10.3969/j.issn.0253-4193.2018.06.005

CORC > 烟台海岸带研究所 > 中国科学院烟台海岸带研究所 > 中科院海岸带环境过程与生态修复重点实验室 > 海岸带信息集成与综合管理实验室

	基于HICO波段的滨海土壤盐分遥感反演研究
	安德玉 ; 邢前国 ; 赵庚星
刊名	海洋学报
	2018-05-22
卷号	40 期号:06 页码:51-59
关键词	黄河三角洲盐渍土表层土壤全盐含量高光谱遥感反演
ISSN号	0253-4193
DOI	10.3969/j.issn.0253-4193.2018.06.005
其他题名	Hyperspectral remote sensing of soil salinity for coastal saline soil in the Yellow River Delta based on HICO bands
产权排序	(1)中国科学院烟台海岸带研究所海岸带环境过程与生态修复重点实验室 ; (2)中国科学院大学 ; (3)山东农业大学资源与环境学院土肥资源高效利用国家工程实验室
英文摘要	This study aims to use hyperspectral reflectance to estimate soil salinity.Taking the coastal saline soil of the Yellow River Delta as an example,we collected insituground surface reflectance and soil samples for salinity analysis,and integrated with the HICO (Hyperspectral Imager for the Coastal Ocean)imagery data to map the distribution of salinity.The spectral features were established by band combination method.The sensitive features were selected by correlation analysis.The optimal models were selected by the determination coefficients R~2.The relationship between the in situ reflectance and the HICO hyperspectral reflectance is used to modify the model. And these models were applied to HICO images.The study showed that the models of band ratio(RI)and band difference(DI)with significantly high correlations with the soil salinity were established.The power function models established by DI_((845,473)),DI_((839,490)),DI_((845,496)),DI_((839,501))were the best ones(the determination coefficients R~2>0.86,and the relative prediction deviation RPD>3).The inversion results in the HICO from these models were consistent with each other,and can reflect the distribution of soil salinity for the Yellow River Delta. This study suggests that it is feasible to estimate the soil salinity by using the hyperspectral data,which can provide a reference for quantitative inversion of soil salinity in the coastal region.
语种	中文
CSCD记录号	CSCD:6254202
资助机构	国家自然科学基金#41676171 ; 中国科学院科研仪器研制项目#YJKYYQ20170048 ; 青岛海洋科技国家实验室创新项目#2016ASKJ02
内容类型	期刊论文
源URL	[http://ir.yic.ac.cn/handle/133337/24702]
专题	烟台海岸带研究所_海岸带信息集成与综合管理实验室烟台海岸带研究所_中科院海岸带环境过程与生态修复重点实验室
作者单位	1.山东农业大学资源与环境学院土肥资源高效利用国家工程实验室 2.中国科学院烟台海岸带研究所海岸带环境过程与生态修复重点实验室; 3.中国科学院大学;
推荐引用方式 GB/T 7714	安德玉,邢前国,赵庚星. 基于HICO波段的滨海土壤盐分遥感反演研究[J]. 海洋学报,2018,40(06):51-59.
APA	安德玉,邢前国,&赵庚星.(2018).基于HICO波段的滨海土壤盐分遥感反演研究.海洋学报,40(06),51-59.
MLA	安德玉,et al."基于HICO波段的滨海土壤盐分遥感反演研究".海洋学报 40.06(2018):51-59.