Assessing soil fertility index based on remote sensing and gis techniques with field validation in a semiarid agricultural ecosystem

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dc.authoridDEDEOGLU, MERT/0000-0001-8611-3724
dc.authoriddengiz, orhan/0000-0002-0458-6016
dc.contributor.authorTuncay, Tulay
dc.contributor.authorKilic, Seref
dc.contributor.authorDedeoglu, Mert
dc.contributor.authorDengiz, Orhan
dc.contributor.authorBaskan, Oguz
dc.contributor.authorBayramin, Ilhami
dc.date.accessioned2024-12-24T19:27:20Z
dc.date.available2024-12-24T19:27:20Z
dc.date.issued2021
dc.departmentSiirt Üniversitesi
dc.description.abstractAmong the greatest challenges of the arid and semiarid regions is the need for more crop production to meet the increasing demand of the growing population. This study aimed to compare SFI classes with both yield values and vegetation index values derived from satellite images. A total of 281 soil samples were taken at a 1-km resolution in order to quantify the spatial dynamics of soil physical, chemical and fertility indicators. Of the study area, 40.0% had very high fertile and high fertile soils, while 26.7% of the area had moderately fertile soils. Only about one-third of the total area had low and very low fertility. These results were validated using a 3-year yield values belong to parcels, and vegetation index derived from Sentinel 2A images. A strong relationship of SFI with yield (r2 = 0.88) and RE-OSAVI (r2 = 0.83) was found. Therefore, we suggested that SFI can be used to determine the sufficiency potential of soils for plant growing and management according to sustainable principles in similar ecologies provided that similar sample size should used.
dc.description.sponsorshipTUBITAK in Ankara, Turkey [110 O 729]
dc.description.sponsorshipThis work was supported by TUBITAK in Ankara, Turkey for funding this project (TOVAG Project No: 110 O 729).
dc.identifier.doi10.1016/j.jaridenv.2021.104525
dc.identifier.issn0140-1963
dc.identifier.issn1095-922X
dc.identifier.scopus2-s2.0-85105568699
dc.identifier.scopusqualityQ1
dc.identifier.urihttps://doi.org/10.1016/j.jaridenv.2021.104525
dc.identifier.urihttps://hdl.handle.net/20.500.12604/6610
dc.identifier.volume190
dc.identifier.wosWOS:000656219500004
dc.identifier.wosqualityQ3
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherAcademic Press Ltd- Elsevier Science Ltd
dc.relation.ispartofJournal of Arid Environments
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_20241222
dc.subjectRE-OSAVI
dc.subjectSoil fertility index
dc.subjectSpatial variability
dc.subjectSemiarid environment
dc.titleAssessing soil fertility index based on remote sensing and gis techniques with field validation in a semiarid agricultural ecosystem
dc.typeArticle

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