干旱区生态环境知识资源中心(Arid): A High-Precision Remote Sensing Identification Method on Saline-Alkaline Areas Using Multi-Sources Data

Arid

DOI	10.3390/rs15102556
	A High-Precision Remote Sensing Identification Method on Saline-Alkaline Areas Using Multi-Sources Data
	Yang, Jingyi; Wang, Qinjun; Chang, Dingkun; Xu, Wentao; Yuan, Boqi
通讯作者	Wang, QJ
来源期刊	REMOTE SENSING
EISSN	2072-4292
出版年	2023
卷号	15 期号:10
英文摘要	Soil salinization is a widespread and important environmental problem. We propose a high-precision remote sensing identification method for saline-alkaline areas using multi-source data, a method which is of some significance for improving ecological and environmental problems on a global scale which have been caused by soil salinization. Its principle is to identify saline-alkaline areas from remote sensing imagery by a decision tree model combining four spectral indices named NDSI34 (Normalized Difference Spectral Index of Band 3 and Band 4), NDSI25 (Normalized Difference Spectral Index of Band 2 and Band 5), NDSI237 (Normalized Difference Spectral Index of Band 3 and Band 4) and NDSInew (New Normalized Difference Salt Index) that can distinguish saline-alkaline areas from other features. In this method, the complementary information within the multi-source data is used to improve classification accuracy. The main steps of the method include multi-source data acquisition, adaptive feature fusion of multi-source data, feature identification and integrated expression of the saline-alkaline area from multi-source data, fine classification of the saline-alkaline area, and accuracy verification. Taking Minqin County, Gansu Province, China as the study area, we use the method to identify saline-alkaline areas based on GF-2, GF-6/WFV and DEM data. The results show that the overall accuracy of the method is 88.11%, which is 7.69% higher than that of the traditional methods, indicating that it could effectively identify the distribution of saline-alkaline areas, and thus provide a scientific technique for the quick identification of saline-alkaline areas in large regions.
英文关键词	remote sensing saline-alkali areas salinization identifying high precision multi-source data
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:000996165500001
WOS关键词	SALT-AFFECTED SOILS ; CLASSIFICATION ; SALINIZATION ; VEGETATION ; OASIS
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/2XILL650/398278
推荐引用方式 GB/T 7714	Yang, Jingyi,Wang, Qinjun,Chang, Dingkun,et al. A High-Precision Remote Sensing Identification Method on Saline-Alkaline Areas Using Multi-Sources Data[J],2023,15(10).
APA	Yang, Jingyi,Wang, Qinjun,Chang, Dingkun,Xu, Wentao,&Yuan, Boqi.(2023).A High-Precision Remote Sensing Identification Method on Saline-Alkaline Areas Using Multi-Sources Data.REMOTE SENSING,15(10).
MLA	Yang, Jingyi,et al."A High-Precision Remote Sensing Identification Method on Saline-Alkaline Areas Using Multi-Sources Data".REMOTE SENSING 15.10(2023).