干旱区生态环境知识资源中心(Arid): Estimating Salt Concentrations Based on Optimized Spectral Indices in Soils with Regional Heterogeneity

Arid

DOI	10.1155/2019/2402749
	Estimating Salt Concentrations Based on Optimized Spectral Indices in Soils with Regional Heterogeneity
	Kahaer, Yasenjiang 1,2; Tashpolat, Nigara 1,2
通讯作者	Tashpolat, Nigara
来源期刊	JOURNAL OF SPECTROSCOPY
ISSN	2314-4920
EISSN	2314-4939
出版年	2019
卷号	2019
英文摘要	Soil salinity is one of the most damaging environmental problems worldwide, especially in arid and semiarid regions. The objectives of this study were to improve the inversion accuracy of soil salt content (SSC) in soils with spectral heterogeneity by using optimized spectral indices. Soil samples at a 0-20 cm depth were taken from Keriya Oasis (98 soil samples), Ugan-Kuqa Oasis (49 soil samples), and Ebinur Lake Basin (57 soil samples). SSC and spectral reflectance (SR) of all the 204 soil samples were determined. To comprehensively analyze the field-collected hyperspectral data, various band combinations were used to calculate a normalized difference spectral index (NDSI) and ratio spectral index (RSI). Then, the relationships between the indices and SSC were examined, and the most robust relationships were demonstrated. The partial least squares regression (PLSR) method was utilized to develop a predictive model of SSC, and the variable importance in the projection (VIP) method was used during modeling. The results revealed that (i) the salinized soils in different regions had apparent differences in both reflectance and spectral curve morphology, but the optimized spectral indices method effectively overcame the regional heterogeneity of salinized soil hyperspectral characteristics, and the correlation with SSC was always kind, with correlation coefficients up to 0.748 at 0.001 level of significance; (ii) the VIP filtering method effectively selected the optimal independent model, and the modeling accuracy was better than the single optimization index (R-Pre(2) = 0.83 and RMSEPre = 2.31 g center dot kg(-1)) by using the combination of two optimal indices; (iii) although the global modeling accuracy was significantly lower than the local modeling accuracy due to the inconsistent salt sensitivity bands of salinized soils in different regions, combined with cross-validation analysis, the global model had the ability to predict soil salinization accurately (R-Pre(2) = 0.69 and RMSEPre = 8.45 g center dot kg(-1)). The methods developed in this study can be applied in other arid and semiarid areas. Besides, the study also provides examples for aerospace hyperspectral remote sensing of cross-regional soil salinization.
类型	Article
语种	英语
国家	Peoples R China
开放获取类型	Green Published, gold
收录类别	SCI-E
WOS记录号	WOS:000487596600001
WOS关键词	YELLOW-RIVER DELTA ; SALINITY ; CHINA ; INDICATORS ; REGRESSION ; VEGETATION ; OASIS ; MODEL
WOS类目	Biochemical Research Methods ; Spectroscopy
WOS研究方向	Biochemistry & Molecular Biology ; Spectroscopy
来源机构	新疆大学
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/217339
作者单位	1.Xinjiang Univ, Coll Resources & Environm Sci, Urumqi 830046, Peoples R China; 2.Xinjiang Univ, Minist Educ, Key Lab Oasis Ecol, Urumqi 830046, Peoples R China
推荐引用方式 GB/T 7714	Kahaer, Yasenjiang,Tashpolat, Nigara. Estimating Salt Concentrations Based on Optimized Spectral Indices in Soils with Regional Heterogeneity[J]. 新疆大学,2019,2019.
APA	Kahaer, Yasenjiang,&Tashpolat, Nigara.(2019).Estimating Salt Concentrations Based on Optimized Spectral Indices in Soils with Regional Heterogeneity.JOURNAL OF SPECTROSCOPY,2019.
MLA	Kahaer, Yasenjiang,et al."Estimating Salt Concentrations Based on Optimized Spectral Indices in Soils with Regional Heterogeneity".JOURNAL OF SPECTROSCOPY 2019(2019).