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Using remote sensing data to predict road fill areas and areas affected by fill erosion with planned forest road construction: a case study in Kastamonu Regional Forest Directorate (Turkey).

dc.contributor.authorAricak, Burak
dc.contributor.authorAricak, B
dc.date.accessioned2023-05-09T15:38:02Z
dc.date.available2023-05-09T15:38:02Z
dc.date.issued2015-07-01T00:00:00Z
dc.date.issued2015.01.01
dc.description.abstractForest roads are essential for transport in managed forests, yet road construction causes environmental disturbance, both in the surface area the road covers and in erosion and downslope deposition of road fill material. The factors affecting the deposition distance of eroded road fill are the slope gradient and the density of plant cover. Thus, it is important to take these factors into consideration during road planning to minimize their disturbance. The aim of this study was to use remote sensing and field surveying to predict the locations that would be affected by downslope deposition of eroding road fill and to compile the data into a geographic information system (GIS) database. The construction of 99,500 m of forest roads is proposed for the Kastamonu Regional Forest Directorate in Turkey. Using GeoEye satellite images and a digital elevation model (DEM) for the region, the location and extent of downslope deposition of road fill were determined for the roads as planned. It was found that if the proposed roads were constructed by excavators, the fill material would cover 910,621 m(2) and the affected surface area would be 1,302,740 m(2). Application of the method used here can minimize the adverse effects of forest roads.
dc.identifier.doi10.1007/s10661-015-4663-7
dc.identifier.eissn1573-2959
dc.identifier.issn0167-6369
dc.identifier.pubmed26055656
dc.identifier.scopus2-s2.0-84930655710
dc.identifier.urihttps://hdl.handle.net/20.500.12597/12448
dc.identifier.volume187
dc.identifier.wosWOS:000357340500025
dc.relation.ispartofEnvironmental Monitoring and Assessment
dc.relation.ispartofENVIRONMENTAL MONITORING AND ASSESSMENT
dc.rightsfalse
dc.subjectEnvironmental impacts | Forest roads | GeoEye | GIS | Remote sensing
dc.titleUsing remote sensing data to predict road fill areas and areas affected by fill erosion with planned forest road construction: a case study in Kastamonu Regional Forest Directorate (Turkey).
dc.titleUsing remote sensing data to predict road fill areas and areas affected by fill erosion with planned forest road construction: a case study in Kastamonu Regional Forest Directorate (Turkey)
dc.typeJournal Article
dspace.entity.typePublication
oaire.citation.issue7
oaire.citation.volume187
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