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

Simple item page
dc.contributor.buuauthorAksoy, Ertuğrul
dc.contributor.buuauthorÖzsoy, Gökhan
dc.contributor.buuauthorDirim, Mehmet Sabri
dc.contributor.departmentUludağ Üniversitesi/Ziraat Fakültesi/Toprak Bilimi Bölümü.tr_TR
dc.contributor.orcid0000-0002-4421-7936tr_TR
dc.contributor.orcid0000-0001-9901-6499tr_TR
dc.contributor.researcheridAAH-3316-2021tr_TR
dc.contributor.researcheridAAH-2993-2021tr_TR
dc.contributor.researcheridAAF-5336-2019tr_TR
dc.contributor.scopusid35749507200tr_TR
dc.contributor.scopusid35307739600tr_TR
dc.contributor.scopusid35306490900tr_TR
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.en_US
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.en_US
dc.identifier.endpage1302tr_TR
dc.identifier.issn1991-637X
dc.identifier.issue11tr_TR
dc.identifier.scopus2-s2.0-74249095719tr_TR
dc.identifier.startpage1295tr_TR
dc.identifier.urihttp://hdl.handle.net/11452/24300
dc.identifier.volume4tr_TR
dc.identifier.wos000273689800025tr_TR
dc.indexed.scopusScopusen_US
dc.indexed.wosSCIEen_US
dc.language.isoenen_US
dc.publisherAcademic Journalsen_US
dc.relation.journalAfrican Journal of Agricultural Researchen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergitr_TR
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectDEMen_US
dc.subjectGISen_US
dc.subjectSatellite dataen_US
dc.subjectSoil classificationen_US
dc.subjectSoil mappingen_US
dc.subjectSoil surveyen_US
dc.subjectSpatial predictionen_US
dc.subjectTerrain attributesen_US
dc.subjectThematic mapperen_US
dc.subjectInformationen_US
dc.subjectMapsen_US
dc.subjectClassificationen_US
dc.subjectIdentificationen_US
dc.subjectRegionen_US
dc.subjectAgricultureen_US
dc.subject.scopusSoil Surveys; Soil Organic Carbon; Carbon Sinksen_US
dc.subject.wosAgriculture, multidisciplinaryen_US
dc.titleSoil mapping approach in GIS using landsat satellite imagery and dem dataen_US
dc.typeArticle
dc.wos.quartileQ4en_US

Files

License bundle
Now showing 1 - 1 of 1
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

Web of Science
Scopus