气候变化领域集成服务门户(CCPortal): Estimation of Soil Salt and Ion Contents Based on Hyperspectral Remote Sensing Data: A Case Study of Baidunzi Basin, China

CCPortal

DOI	10.3390/w13040559
	Estimation of Soil Salt and Ion Contents Based on Hyperspectral Remote Sensing Data: A Case Study of Baidunzi Basin, China
	Wang, Libing; Zhang, Bo; Shen, Qian; Yao, Yue; Zhang, Shengyin; Wei, Huaidong; Yao, Rongpeng; Zhang, Yaowen
通讯作者	Zhang, B (通讯作者)，Northwest Normal Univ, Coll Geog & Environm Sci, Lanzhou 730070, Peoples R China.
发表日期	2021
EISSN	2073-4441
卷号	13 期号:4
英文摘要	Soil salinity due to irrigation diversion affects regional agriculture, and the development of soil composition estimation models for the dynamic monitoring of regional salinity is important for salinity control. In this study, we evaluated the performance of hyperspectral data measured using an analytical spectral device (ASD) field spec standard-res hand-held spectrometer and satellite sensor visible shortwave infrared advanced hyperspectral imager (AHSI) in estimating the soil salt content (SSC). First derivative analysis (FDA) and principal component analysis (PCA) were applied to the data using the raw spectra (RS) to select the best model input data. We tested the ability of these three groups of data as input data for partial least squares regression (PLSR), principal component regression (PCR), and multiple linear regression (MLR). Finally, an estimation model of the SSC, Na+, Cl-, and SO42- contents was established using the best input data and modeling method, and a spatial distribution map of the soil composition content was drawn. The results show that the soil spectra obtained from the satellite hyperspectral data (AHSI) and laboratory spectral data (ASD) were consistent when the SSC was low, and as the SSC increased, the spectral curves of the ASD data showed little change in the curve characteristics, while the AHSI data showed more pronounced features, and this change was manifested in the AHSI images as darker pixels with a lower SSC and brighter pixels with a higher SSC. The AHSI data demonstrated a strong response to the change in SSC; therefore, the AHSI data had a greater advantage compared with the ASD data in estimating the soil salt content. In the modeling process, RS performed the best in estimating the SSC and Na+ content, with the R-2 reaching 0.79 and 0.58, respectively, and obtaining low root mean squared error (RMSE) values. FDA and PCA performed the best in estimating Cl- and SO42-, while MLR outperformed PLSR and PCR in estimating the content of the soil components in the region. In addition, the hyperspectral camera data used in this study were very cost-effective and can potentially be used for the evaluation of soil salinization with a wide range and high accuracy, thus reducing the errors associated with the collection of individual samples using hand-held hyperspectral instruments.
关键词	APPARENT ELECTRICAL-CONDUCTIVITY QUANTITATIVE ESTIMATION SALINITY FIELD PREDICTION RIVER SALINIZATION MOISTURE SPECTRA THREAT
英文关键词	soil salinization; remote sensing; numerical modelling; digital soil mapping; arid regions
语种	英语
WOS研究方向	Environmental Sciences & Ecology ; Water Resources
WOS类目	Environmental Sciences ; Water Resources
WOS记录号	WOS:000624886000001
来源期刊	WATER
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/254982
作者单位	[Wang, Libing; Zhang, Bo; Wei, Huaidong; Yao, Rongpeng; Zhang, Yaowen] Northwest Normal Univ, Coll Geog & Environm Sci, Lanzhou 730070, Peoples R China; [Shen, Qian; Yao, Yue] Chinese Acad Sci, Aerosp Informat Res Inst, Key Lab Digital Earth Sci, Beijing 100049, Peoples R China; [Zhang, Shengyin] Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, Lanzhou 730000, Peoples R China; [Wei, Huaidong] Gansu Desert Control Desert Res Inst, State Key Lab Breeding Base Desertificat & Aeolia, Lanzhou 730070, Peoples R China
推荐引用方式 GB/T 7714	Wang, Libing,Zhang, Bo,Shen, Qian,et al. Estimation of Soil Salt and Ion Contents Based on Hyperspectral Remote Sensing Data: A Case Study of Baidunzi Basin, China[J]. 中国科学院西北生态环境资源研究院,2021,13(4).
APA	Wang, Libing.,Zhang, Bo.,Shen, Qian.,Yao, Yue.,Zhang, Shengyin.,...&Zhang, Yaowen.(2021).Estimation of Soil Salt and Ion Contents Based on Hyperspectral Remote Sensing Data: A Case Study of Baidunzi Basin, China.WATER,13(4).
MLA	Wang, Libing,et al."Estimation of Soil Salt and Ion Contents Based on Hyperspectral Remote Sensing Data: A Case Study of Baidunzi Basin, China".WATER 13.4(2021).