Estimating soil salinity using satellite remote sensing data and real-time field sampling

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dc.contributor.authorEkercin, Semih
dc.contributor.authorÖrmeci, Cankut
dc.date.accessioned13.07.201910:50:10
dc.date.accessioned2019-07-16T09:14:50Z
dc.date.available13.07.201910:50:10
dc.date.available2019-07-16T09:14:50Z
dc.date.issued2008
dc.departmentMühendislik Fakültesi
dc.description.abstractThis paper presents a new algorithm for estimating the salinity level of soil by using satellite remote sensing data. The study includes a real-time field work performed during the overpass of Landsat-5 satellite on 20/06/2006 over Salt Lake, Turkey. Electrical conductivity (EC) is used as indicator of salinity for developing algorithm by using multiple regression technique. In the image processing step, geometric and radiometric correction procedures are conducted to make satellite remote sensing data comparable with the spectral ground measurements carried out using field spectroradiometer supported by hand-held GPS. Results show that real-time ground and satellite remote sensing data are in good agreement with correlation coefficient values of between 0.92 and 0.97. The developed algorithm gives acceptable and meaningful results with a determination coefficient value of 0.95. Finally, the model is tested at a number of individual sample points, and the test results indicate the validation of the developed model with a R-2 value of 0.75.
dc.description.sponsorshipThe Scientific and Technological Research Council of Turkey-TUBITAK [105Y283]
dc.description.sponsorshipThis research was funded by The Scientific and Technological Research Council of Turkey-TUBITAK (Grant Number: 105Y283). We would like to thank to Prof. Dr. Dog. an KANTARCI and Assoc. Prof. Doganay TOLUNAY (University of Istanbul, Faculty of Forestry) for their generous supports during the field work and laboratory analysis. We also thank the anonymous reviewers for many useful suggestions.
dc.identifier.doi10.1089/ees.2007.0061
dc.identifier.endpage988en_US
dc.identifier.issn1092-8758
dc.identifier.issue7en_US
dc.identifier.scopusqualityQ2
dc.identifier.startpage981en_US
dc.identifier.urihttps://doi.org/10.1089/ees.2007.0061
dc.identifier.urihttps://hdl.handle.net/20.500.12451/4164
dc.identifier.volume25en_US
dc.identifier.wosWOS:000259125600005
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherMary Ann Liebert Inc
dc.relation.ispartofEnvironmental Engineering Science
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectSoil Salinity
dc.subjectSatellite Remote Sensing
dc.subjectLandsat-5
dc.subjectElectrical Conductivity (EC)
dc.subjectRadiometric Correction
dc.titleEstimating soil salinity using satellite remote sensing data and real-time field sampling
dc.typeArticle

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