Soil salinity assessment of a natural pasture using remote sensing techniques in central Anatolia, Turkey

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dc.authoridANSARI, MOHAMMAD/0000-0002-8718-3078
dc.authoridBUDAK, MESUT/0000-0001-5715-1246
dc.authoridKILIC, orhan mete/0000-0002-6723-1984
dc.contributor.authorKilic, Orhan Mete
dc.contributor.authorBudak, Mesut
dc.contributor.authorGunal, Elif
dc.contributor.authorAcir, Nurullah
dc.contributor.authorHalbac-Cotoara-Zamfir, Rares
dc.contributor.authorAlfarraj, Saleh
dc.contributor.authorAnsari, Mohammad Javed
dc.date.accessioned2024-12-24T19:30:01Z
dc.date.available2024-12-24T19:30:01Z
dc.date.issued2022
dc.departmentSiirt Üniversitesi
dc.description.abstractSoil 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.
dc.description.sponsorshipKing Saud University, Riyadh, Saudi Arabia [RSP-2022R7]
dc.description.sponsorshipThis project was supported by Researchers Supporting Project Number (RSP-2022R7) King Saud University, Riyadh, Saudi Arabia.
dc.identifier.doi10.1371/journal.pone.0266915
dc.identifier.issn1932-6203
dc.identifier.issue4
dc.identifier.pmid35436285
dc.identifier.scopus2-s2.0-85128454507
dc.identifier.scopusqualityQ1
dc.identifier.urihttps://doi.org/10.1371/journal.pone.0266915
dc.identifier.urihttps://hdl.handle.net/20.500.12604/7332
dc.identifier.volume17
dc.identifier.wosWOS:000791258900013
dc.identifier.wosqualityQ2
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.indekslendigikaynakPubMed
dc.language.isoen
dc.publisherPublic Library Science
dc.relation.ispartofPlos One
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_20241222
dc.titleSoil salinity assessment of a natural pasture using remote sensing techniques in central Anatolia, Turkey
dc.typeArticle

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