干旱区生态环境知识资源中心(Arid): Soil Salinity Inversion Model of Oasis in Arid Area Based on UAV Multispectral Remote Sensing

Arid

DOI	10.3390/rs14081804
	Soil Salinity Inversion Model of Oasis in Arid Area Based on UAV Multispectral Remote Sensing
	Zhao, Wenju; Zhou, Chun; Zhou, Changquan; Ma, Hong; Wang, Zhijun
通讯作者	Zhao, WJ
来源期刊	REMOTE SENSING
EISSN	2072-4292
出版年	2022
卷号	14 期号:8
英文摘要	Soil salinization severely restricts the development of global industry and agriculture and affects human beings. In the arid area of Northwest China, oasis saline-alkali land threatens the development of agriculture and food security. This paper develops and optimizes an inversion monitoring model for monitoring the soil salt content using unmanned aerial vehicle (UAV) multispectral remote sensing data. Using the multispectral remote sensing data in three research areas, the soil salt inversion models based on the support vector machine regression (SVR), random forest (RF), backpropagation neural network (BPNN), and extreme learning machine (ELM) were constructed. The results show that the four constructed models based on the spectral index can achieve good inversion accuracy, and the red edge band can effectively improve the soil salt inversion accuracy in saline-alkali land with vegetation cover. Based on the obtained results, for bare land, the best model for soil salt inversion is the ELM model, which reaches the determination coefficient (R-v(2)) of 0.707, the root mean square error RMSEv of 0.290, and the performance deviation ratio (RPD) of 1.852 on the test dataset. However, for agricultural land with vegetation cover, the best model for soil salinity inversion using the vegetation index is the BPNN model, which achieves R-v(2) of 0.836, RMSEv of 0.027, and RPD of 2.100 on the test dataset. This study provides technical support for rapid monitoring and inversion of soil salinization and salinization control in irrigation areas.
英文关键词	soil salt content UAV multispectral image data remote sensing inversion model
类型	Article
语种	英语
开放获取类型	gold
收录类别	SCI-E
WOS记录号	WOS:000787403700001
WOS关键词	WET SEASONS ; VEGETATION ; NDVI ; VARIABILITY ; IRRIGATION ; XINJIANG ; IMAGERY ; REGION ; DRY
WOS类目	Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向	Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/394135
推荐引用方式 GB/T 7714	Zhao, Wenju,Zhou, Chun,Zhou, Changquan,et al. Soil Salinity Inversion Model of Oasis in Arid Area Based on UAV Multispectral Remote Sensing[J],2022,14(8).
APA	Zhao, Wenju,Zhou, Chun,Zhou, Changquan,Ma, Hong,&Wang, Zhijun.(2022).Soil Salinity Inversion Model of Oasis in Arid Area Based on UAV Multispectral Remote Sensing.REMOTE SENSING,14(8).
MLA	Zhao, Wenju,et al."Soil Salinity Inversion Model of Oasis in Arid Area Based on UAV Multispectral Remote Sensing".REMOTE SENSING 14.8(2022).