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Soil mapping approach in GIS using landsat satellite imagery and dem data

dc.contributor.buuauthorAksoy, Ertuğrul
dc.contributor.buuauthorÖzsoy, Gökhan
dc.contributor.buuauthorDirim, Mehmet Sabri
dc.contributor.departmentZiraat Fakültesi
dc.contributor.departmentToprak Bilimi Bölümü
dc.contributor.orcid0000-0002-4421-7936
dc.contributor.orcid0000-0001-9901-6499
dc.contributor.researcheridAAH-3316-2021
dc.contributor.researcheridAAH-2993-2021
dc.contributor.researcheridAAF-5336-2019
dc.contributor.scopusid35749507200
dc.contributor.scopusid35307739600
dc.contributor.scopusid35306490900
dc.date.accessioned2022-01-26T09:01:15Z
dc.date.available2022-01-26T09:01:15Z
dc.date.issued2009-11
dc.description.abstractThe objective of this study was to create base soil survey maps of the studied lands using Landsat satellite imagery and Digital Elevation Model (DEM) data in a GIS framework. Specific goals were to generate soil maps and to test the usage probability of slope class map overlies colour composite images as a preliminary map for soil survey in a hilly terrain. Surrogate soil-landscape data layers were derived from Landsat satellite imagery and a 10 m DEM. The data were also used to produce 3D-view with slope class boundaries superimposed Landsat image and relief shaded map as a colour map in order to select possible site of soil profile pits and to define physiographic units. Six soil series formed on two different physiographic units were determined, described and sampled. Soil profiles have been classified according to Soil Taxonomy and FAO-Unesco soil map of the World legend classification systems. The methodology was adequate for soil survey and mapping of some types of soils.
dc.identifier.citationAksoy, E. vd. (2009). "Soil mapping approach in GIS using landsat satellite imagery and dem data". African Journal of Agricultural Research, 4(11), 1295-1302.
dc.identifier.endpage1302
dc.identifier.issn1991-637X
dc.identifier.issue11
dc.identifier.scopus2-s2.0-74249095719
dc.identifier.startpage1295
dc.identifier.urihttp://hdl.handle.net/11452/24300
dc.identifier.volume4
dc.identifier.wos000273689800025
dc.indexed.wosSCIE
dc.language.isoen
dc.publisherAcademic Journals
dc.relation.journalAfrican Journal of Agricultural Research
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectDEM
dc.subjectGIS
dc.subjectSatellite data
dc.subjectSoil classification
dc.subjectSoil mapping
dc.subjectSoil survey
dc.subjectSpatial prediction
dc.subjectTerrain attributes
dc.subjectThematic mapper
dc.subjectInformation
dc.subjectMaps
dc.subjectClassification
dc.subjectIdentification
dc.subjectRegion
dc.subjectAgriculture
dc.subject.scopusSoil Surveys; Soil Organic Carbon; Carbon Sinks
dc.subject.wosAgriculture, multidisciplinary
dc.titleSoil mapping approach in GIS using landsat satellite imagery and dem data
dc.typeArticle
dc.wos.quartileQ4
dspace.entity.typePublication
local.contributor.departmentZiraat Fakültesi/Toprak Bilimi Bölümü
local.indexed.atScopus
local.indexed.atWOS

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