干旱区生态环境知识资源中心(Arid): SOIL SALINITY, ITS INVERSION AND SPATIAL DISTRIBUTION CHARACTERISTICS IN AGRICULTURAL FIELDS USING REMOTE SENSING DATA

Arid

DOI	10.3329/bjb.v52i20.68191
	SOIL SALINITY, ITS INVERSION AND SPATIAL DISTRIBUTION CHARACTERISTICS IN AGRICULTURAL FIELDS USING REMOTE SENSING DATA
	Kong, Hui; Wu, Dan; Yang, Liangyan
通讯作者	Kong, H
来源期刊	BANGLADESH JOURNAL OF BOTANY
ISSN	0253-5416
EISSN	2079-9926
出版年	2023
卷号	52 期号:2 页码:437-443
英文摘要	Soil salinization is an urgent problem in the arid and semi-arid regions that damages soil ecology and affects agricultural growths. Timely supervision and monitoring of soil salinity are essential to reach the most sustainable improvement goals in arid and semi-arid regions. In the present study, the soil of Aktau region in Xinjiang, China was collected to build a remote sensing based inversion model for identifying soil salinity hazards. Results showed that Normalized Difference Vegetation Index (NDVI), Normalized Difference Water Index (NDWI), and Difference Vegetation Index (DVI) were correlated (P < 0.01) with the model inversion, having correlation coefficients of -0.735, -0.858, and -0.774, respectively. All these were suitable for the construction of the soil salinity inversion model where the optimal parameters of model accuracy were above 85% and prediction results were accurate credible and consistent with the measured data. The NDWI extracted from multispectral images was used as the key parameter of the soil salinity inversion model, which could obtain a better spatial distribution of soil salinity. The remote sensing inversion model of soil salinity provides a theoretical basis for the management of soil salinization and sustainable utilization of agricultural resources in the Aktau region of Xinjiang.
英文关键词	Remote sensing Farmland NDWI Soil salinity Spatial distribution
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:001124809500001
WOS关键词	INDEX
WOS类目	Plant Sciences
WOS研究方向	Plant Sciences
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/395530
推荐引用方式 GB/T 7714	Kong, Hui,Wu, Dan,Yang, Liangyan. SOIL SALINITY, ITS INVERSION AND SPATIAL DISTRIBUTION CHARACTERISTICS IN AGRICULTURAL FIELDS USING REMOTE SENSING DATA[J],2023,52(2):437-443.
APA	Kong, Hui,Wu, Dan,&Yang, Liangyan.(2023).SOIL SALINITY, ITS INVERSION AND SPATIAL DISTRIBUTION CHARACTERISTICS IN AGRICULTURAL FIELDS USING REMOTE SENSING DATA.BANGLADESH JOURNAL OF BOTANY,52(2),437-443.
MLA	Kong, Hui,et al."SOIL SALINITY, ITS INVERSION AND SPATIAL DISTRIBUTION CHARACTERISTICS IN AGRICULTURAL FIELDS USING REMOTE SENSING DATA".BANGLADESH JOURNAL OF BOTANY 52.2(2023):437-443.