干旱区生态环境知识资源中心(Arid): Potential of land degradation index for soil salinity mapping in irrigated agricultural land in a semi-arid region using Landsat-OLI and Sentinel-MSI data

Arid

DOI	10.1007/s10661-024-13030-1
	Potential of land degradation index for soil salinity mapping in irrigated agricultural land in a semi-arid region using Landsat-OLI and Sentinel-MSI data
	Chaaou, Abdelwahed; Chikhaoui, Mohamed; Naimi, Mustapha; El Miad, Aissa Kerkour; Bokoye, Amadou Idrissa; Ennasr, Marieme Seif; El Harche, Sanae
通讯作者	Chikhaoui, M
来源期刊	ENVIRONMENTAL MONITORING AND ASSESSMENT
ISSN	0167-6369
EISSN	1573-2959
出版年	2024
卷号	196 期号:9
英文摘要	Irrigated agricultural lands in arid and semi-arid regions are prone to soil degradation. Remote sensing technology has proven useful for mapping and monitoring the extent of this issue. To accurately discern soil salinity, it is essential to choose appropriate spectral wavelengths. This study evaluated the potential of the land degradation index (LDI) using the visible and near infrared (VNIR) and the short wavelength infrared (SWIR) spectral bands compared to that of soil salinity indices by integrating only the VNIR wavelengths. Landsat-OLI and Sentinel-MSI data, acquired 2 weeks apart, were rigorously preprocessed and used. This research was conducted over irrigated agricultural land in Morocco, which is well known for its semi-arid climate and moderately saline soil. Furthermore, a field soil survey was conducted and 42 samples with variable electrical conductivity (EC) were collected for index calibration and validation of the results. The results showed that the visual analysis of the derived maps based on the examined indices exhibited a clear spatial pattern of gradual soil salinity changes extending from the elevated upstream plateau to the downstream of the plain, which limits agricultural activities in the southwestern sector of the study area. The results of this study show that LDI is effective in identifying soil salinity, as indicated by a coefficient of determination (R2) of 0.75 when using Sentinel-MSI and 0.72 with Landsat-OLI. The R2 value of 0.89 and root mean square error (RMSE) of 0.87 dS/m for soil salinity maps generated from LDI with Sentinel-MSI demonstrate high accuracy. In contrast, the R2 value of 0.83 and RMSE of 1.24 dS/m for maps produced from Landsat-OLI indicate lower accuracy. These findings indicate that high-resolution Sentinel-MSI data significantly improved the prediction of salinity-affected soils. Furthermore, this study highlights the benefits of using VNIR and SWIR bands for precise soil salinity mapping.
英文关键词	Salinization Spectral analysis Land degradation Crop productivity Soil salinity indices Tadla plain
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:001298791900002
WOS关键词	ASTER DATA ; IMAGERY ; MOROCCO
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/2XILL650/403606
推荐引用方式 GB/T 7714	Chaaou, Abdelwahed,Chikhaoui, Mohamed,Naimi, Mustapha,et al. Potential of land degradation index for soil salinity mapping in irrigated agricultural land in a semi-arid region using Landsat-OLI and Sentinel-MSI data[J],2024,196(9).
APA	Chaaou, Abdelwahed.,Chikhaoui, Mohamed.,Naimi, Mustapha.,El Miad, Aissa Kerkour.,Bokoye, Amadou Idrissa.,...&El Harche, Sanae.(2024).Potential of land degradation index for soil salinity mapping in irrigated agricultural land in a semi-arid region using Landsat-OLI and Sentinel-MSI data.ENVIRONMENTAL MONITORING AND ASSESSMENT,196(9).
MLA	Chaaou, Abdelwahed,et al."Potential of land degradation index for soil salinity mapping in irrigated agricultural land in a semi-arid region using Landsat-OLI and Sentinel-MSI data".ENVIRONMENTAL MONITORING AND ASSESSMENT 196.9(2024).