干旱区生态环境知识资源中心(Arid): Monitoring soil salinization and its spatiotemporal variation at different depths across the Yellow River Delta based on remote sensing data with multi-parameter optimization

Arid

DOI	10.1007/s11356-021-17677-y
	Monitoring soil salinization and its spatiotemporal variation at different depths across the Yellow River Delta based on remote sensing data with multi-parameter optimization
	Cheng, Tiantian; Zhang, Jiahua; Zhang, Sha; Bai, Yun; Wang, Jingwen; Li, Shuaishuai; Javid, Tehseen; Meng, Xianglei; Sharma, Til Prasad Pangali
通讯作者	Zhang, JH (corresponding author), Qingdao Univ, Coll Comp Sci & Technol, Remote Sensing Informat & Digital Earth Ctr, Qingdao 266071, Peoples R China. ; Zhang, JH (corresponding author), Chinese Acad Sci, Aerosp Informat Res Inst, Key Lab Digital Earth Sci, Beijing 100094, Peoples R China. ; Zhang, JH (corresponding author), Univ Chinese Acad Sci, Coll Earth & Planetary Sci, Beijing, Peoples R China.
来源期刊	ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
ISSN	0944-1344
EISSN	1614-7499
出版年	2021-11
英文摘要	Soil salinization is recognized as a key issue negatively affecting agricultural productivity and wetland ecology. It is necessary to develop effective methods for monitoring the spatiotemporal distribution of soil salinity at a regional scale. In this study, we proposed an optimized remote sensing-based model for detecting soil salinity in different depths across the Yellow River Delta (YRD), China. A multi-dimensional model was built for mapping soil salinity, in which five types of predictive factors derived from Landsat satellite images were exacted and tested, 94 in-situ measured soil salinity samples with depths of 30-40 cm and 90-100 cm were collected to establish and validate the predicting model result. By comparing multiple linear regression (MLR) and partial least squares regression (PLSR) models with considering the correlation between predictive factors and soil salinity, we established the optimized prediction model which integrated the multi-parameter (including SWIR1, SI9, MSAVI, Albedo, and SDI) optimization approach to detect soil salinization in the YRD from 2003 to 2018. The results indicated that the estimates of soil salinity by the optimized prediction model were in good agreement with the measured soil salinity. The accuracy of the PLSR model performed better than that of the MLR model, with the R-2 of 0.642, RMSE of 0.283, and MAE of 0.213 at 30-40 cm depth, and with the R-2 of 0.450, RMSE of 0.276, and MAE of 0.220 at 90-100 cm depth. From 2003 to 2018, the soil salinity showed a distinct spatial heterogeneity. The soil salinization level of the coastal shoreline was higher; in contrast, lower soil salinization level occurred in the central YRD. In the last 15 years, the soil salinity at depth of 30-40 cm experienced a decreased trend of fluctuating, while the soil salinity at depth of 90-100 cm showed fluctuating increasing trend.
英文关键词	Soil salinization Remote sensing Multi-parameter optimization Yellow River Delta Spatiotemporal dynamic
类型	Article ; Early Access
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000722552800024
WOS关键词	SPATIAL-DISTRIBUTION ; SALINITY ; OASIS ; AREAS ; INDEX ; SEDIMENT ; LAND
WOS类目	Environmental Sciences
WOS研究方向	Environmental Sciences & Ecology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/374624
作者单位	[Cheng, Tiantian; Zhang, Jiahua; Zhang, Sha; Bai, Yun; Li, Shuaishuai; Javid, Tehseen] Qingdao Univ, Coll Comp Sci & Technol, Remote Sensing Informat & Digital Earth Ctr, Qingdao 266071, Peoples R China; [Cheng, Tiantian; Zhang, Jiahua; Wang, Jingwen; Sharma, Til Prasad Pangali] Chinese Acad Sci, Aerosp Informat Res Inst, Key Lab Digital Earth Sci, Beijing 100094, Peoples R China; [Zhang, Jiahua; Wang, Jingwen; Meng, Xianglei] Univ Chinese Acad Sci, Coll Earth & Planetary Sci, Beijing, Peoples R China
推荐引用方式 GB/T 7714	Cheng, Tiantian,Zhang, Jiahua,Zhang, Sha,et al. Monitoring soil salinization and its spatiotemporal variation at different depths across the Yellow River Delta based on remote sensing data with multi-parameter optimization[J],2021.
APA	Cheng, Tiantian.,Zhang, Jiahua.,Zhang, Sha.,Bai, Yun.,Wang, Jingwen.,...&Sharma, Til Prasad Pangali.(2021).Monitoring soil salinization and its spatiotemporal variation at different depths across the Yellow River Delta based on remote sensing data with multi-parameter optimization.ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH.
MLA	Cheng, Tiantian,et al."Monitoring soil salinization and its spatiotemporal variation at different depths across the Yellow River Delta based on remote sensing data with multi-parameter optimization".ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH (2021).