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DOI	10.1007/s12517-020-05572-8
	Soil salinity detection and monitoring using Landsat data: a case study from Kot Addu, Pakistan
	Ijaz, Moeen 1; Ahmad, Hamaad Raza 1; Bibi, Sadia 1; Ayub, Muhammad Ashar 1; Khalid, Shoaib 2
通讯作者	Ahmad, Hamaad Raza
来源期刊	ARABIAN JOURNAL OF GEOSCIENCES
ISSN	1866-7511
EISSN	1866-7538
出版年	2020
卷号	13 期号:13
英文摘要	Despite decades of research in soil mapping, characterizing the spatial variability of soil salinity across certain area remains a crucial challenge. This research illustrates the potential use of Landsat 8 satellite reflectance data (30 m resolution) to facilitate soil salinity mapping. For this purpose, soil samples from surface soils of Kot Addu, Muzaffargarh District in Pakistan, were collected in the 3rd week of January 2017 (January 20, 2017, to January 27, 2017). Multi-temporal data (atmospherically corrected Landsat 8 images from the United States Geological Survey (USGS) website; January 19, 2017) and soil sample electrical conductivity (ECe) were obtained and processed for various indices' calculation and supervised classification. Soil sample EC(e)and pixel index values were compared for correlation using linear regression. Normalized Differential Vegetation Index (NDVI) showed a coefficient of determination (R-2) of 54.98%, Soil Adjusted Vegetation Index (SAVI) hasR(2) = 54.98%, Mosaic Simple Ratio (MSR) hasR(2) = 47.59%, and Moisture Stress Index (MSI) indicatedR(2)of 51.48%. These indices were stacked, and supervised classification of stacked images was performed to produce 3 salinity classes (< 4 dS m(-1), 4-10 dS m(-1), and > 10 dS m(-1)). The maximum area of Kot Addu falls at < 4 dS m(-1)class, while in other two classes small patches of soil salinity were observed which were distributed across the map. It was concluded that remote sensing technology can be used for mapping the spatial distribution of the soil salinity. The results suggest that Landsat 8 image data with information of soil ECs can be used to identify spatial variations of soil salinity in arid areas.
英文关键词	Remote sensing Soil salinity
类型	Article
语种	英语
国家	Pakistan
收录类别	SCI-E
WOS记录号	WOS:000543369600001
WOS关键词	SALT-AFFECTED SOILS ; VEGETATION ; REFLECTANCE ; INDEX ; METHODOLOGY
WOS类目	Geosciences, Multidisciplinary
WOS研究方向	Geology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/319406
作者单位	1.Univ Agr Faisalabad, Inst Soil & Environm Sci, Faisalabad, Pakistan; 2.Govt Coll Univ Faisalabad, Faisalabad, Pakistan
推荐引用方式 GB/T 7714	Ijaz, Moeen,Ahmad, Hamaad Raza,Bibi, Sadia,et al. Soil salinity detection and monitoring using Landsat data: a case study from Kot Addu, Pakistan[J],2020,13(13).
APA	Ijaz, Moeen,Ahmad, Hamaad Raza,Bibi, Sadia,Ayub, Muhammad Ashar,&Khalid, Shoaib.(2020).Soil salinity detection and monitoring using Landsat data: a case study from Kot Addu, Pakistan.ARABIAN JOURNAL OF GEOSCIENCES,13(13).
MLA	Ijaz, Moeen,et al."Soil salinity detection and monitoring using Landsat data: a case study from Kot Addu, Pakistan".ARABIAN JOURNAL OF GEOSCIENCES 13.13(2020).