气候变化领域集成服务门户(CCPortal): Derivation of salt content in salinized soil from hyperspectral reflectance data: A case study at Minqin Oasis, Northwest China

CCPortal

DOI	10.1007/s40333-019-0091-9
	Derivation of salt content in salinized soil from hyperspectral reflectance data: A case study at Minqin Oasis, Northwest China
	Qian Tana; Tsunekawa, Atsushi; Peng Fei; Masunaga, Tsugiyuki; Wang Tao; Li Rui
发表日期	2019
ISSN	1674-6767
EISSN	2194-7783
卷号	11 期号:1
英文摘要	Soil salinization is a serious ecological and environmental problem because it adversely affects sustainable development worldwide, especially in arid and semi-arid regions. It is crucial and urgent that advanced technologies are used to efficiently and accurately assess the status of salinization processes. Case studies to determine the relations between particular types of salinization and their spectral reflectances are essential because of the distinctive characteristics of the reflectance spectra of particular salts. During April 2015 we collected surface soil samples (0-10 cm depth) at 64 field sites in the downstream area of Minqin Oasis in Northwest China, an area that is undergoing serious salinization. We developed a linear model for determination of salt content in soil from hyperspectral data as follows. First, we undertook chemical analysis of the soil samples to determine their soluble salt contents. We then measured the reflectance spectra of the soil samples, which we post-processed using a continuum-removed reflectance algorithm to enhance the absorption features and better discriminate subtle differences in spectral features. We applied a normalized difference salinity index to the continuum-removed hyperspectral data to obtain all possible waveband pairs. Correlation of the indices obtained for all of the waveband pairs with the wavebands corresponding to measured soil salinities showed that two wavebands centred at wavelengths of 1358 and 2382 nm had the highest sensitivity to salinity. We then applied the linear regression modelling to the data from half of the soil samples to develop a soil salinity index for the relationships between wavebands and laboratory measured soluble salt content. We used the hyperspectral data from the remaining samples to validate the model. The salt content in soil from Minqin Oasis were well produced by the model. Our results indicate that wavelengths at 1358 and 2382 nm are the optimal wavebands for monitoring the concentrations of chlorine and sulphate compounds, the predominant salts at Minqin Oasis. Our modelling provides a reference for future case studies on the use of hyperspectral data for predictive quantitative estimation of salt content in soils in arid regions. Further research is warranted on the application of this method to remotely sensed hyperspectral data to investigate its potential use for large-scale mapping of the extent and severity of soil salinity.
关键词	salinity index soil salt content spectral reflectance waveband pairs arid regions
学科领域	Environmental Sciences & Ecology
语种	英语
WOS研究方向	Environmental Sciences
来源期刊	JOURNAL OF ARID LAND
来源机构	中国科学院西北生态环境资源研究院
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/112055
作者单位	Tottori Univ, Arid Land Res Ctr, Tottori 6800001, Japan
推荐引用方式 GB/T 7714	Qian Tana,Tsunekawa, Atsushi,Peng Fei,et al. Derivation of salt content in salinized soil from hyperspectral reflectance data: A case study at Minqin Oasis, Northwest China[J]. 中国科学院西北生态环境资源研究院,2019,11(1).
APA	Qian Tana,Tsunekawa, Atsushi,Peng Fei,Masunaga, Tsugiyuki,Wang Tao,&Li Rui.(2019).Derivation of salt content in salinized soil from hyperspectral reflectance data: A case study at Minqin Oasis, Northwest China.JOURNAL OF ARID LAND,11(1).
MLA	Qian Tana,et al."Derivation of salt content in salinized soil from hyperspectral reflectance data: A case study at Minqin Oasis, Northwest China".JOURNAL OF ARID LAND 11.1(2019).