干旱区生态环境知识资源中心(Arid): Soil salinity assessment of a natural pasture using remote sensing techniques in central Anatolia, Turkey

Arid

DOI	10.1371/journal.pone.0266915
	Soil salinity assessment of a natural pasture using remote sensing techniques in central Anatolia, Turkey
	Kilic, Orhan Mete; Budak, Mesut; Gunal, Elif; Acir, Nurullah; Halbac-Cotoara-Zamfir, Rares; Alfarraj, Saleh; Ansari, Mohammad Javed
通讯作者	Kilic, OM
来源期刊	PLOS ONE
ISSN	1932-6203
出版年	2022
卷号	17 期号:4
英文摘要	Soil salinity is a major land degradation process reducing biological productivity in arid and semi-arid regions. Therefore, its effective monitoring and management is inevitable. Recent developments in remote sensing technology have made it possible to accurately identify and effectively monitor soil salinity. Hence, this study determined salinity levels of surface soils in 2650 ha agricultural and natural pastureland located in an arid region of central Anatolia, Turkey. The relationship between electrical conductivity (EC) values of 145 soil samples and the dataset created using Landsat 5 TM satellite image was investigated. Remote sensing dataset for 23 variables, including visible, near infrared (NIR) and short-wave infrared (SWIR) spectral ranges, salinity, and vegetation indices were created. The highest correlation between EC values and remote sensing dataset was obtained in SWIR1 band (r = -0.43). Linear regression analysis was used to reveal the relationship between six bands and indices selected from the variables with the highest correlations. Coefficient of determination (R-2 = 0.19) results indicated that models obtained using satellite image did not provide reliable results in determining soil salinity. Microtopography is the major factor affecting spatial distribution of soil salinity and caused heterogeneous distribution of salts on surface soils. Differences in salt content of soils caused heterogeneous distribution of halophytes and led to spectral complexity. The dark colored slickpots in small-scale depressions are common features of sodic soils, which are responsible for spectral complexity. In addition, low spatial resolution of Landsat 5 TM images is another reason decreasing the reliability of models in determining soil salinity.
类型	Article
语种	英语
开放获取类型	gold, Green Published
收录类别	SCI-E
WOS记录号	WOS:000791258900013
WOS关键词	RANGE EXPANSION ; INDEXES ; IMAGERY
WOS类目	Multidisciplinary Sciences
WOS研究方向	Science & Technology - Other Topics
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/394023
推荐引用方式 GB/T 7714	Kilic, Orhan Mete,Budak, Mesut,Gunal, Elif,et al. Soil salinity assessment of a natural pasture using remote sensing techniques in central Anatolia, Turkey[J],2022,17(4).
APA	Kilic, Orhan Mete.,Budak, Mesut.,Gunal, Elif.,Acir, Nurullah.,Halbac-Cotoara-Zamfir, Rares.,...&Ansari, Mohammad Javed.(2022).Soil salinity assessment of a natural pasture using remote sensing techniques in central Anatolia, Turkey.PLOS ONE,17(4).
MLA	Kilic, Orhan Mete,et al."Soil salinity assessment of a natural pasture using remote sensing techniques in central Anatolia, Turkey".PLOS ONE 17.4(2022).