Using the Remote Sensing and GIS Technology for Erosion Risk Mapping of Kartalkaya Dam Watershed in Kahramanmaras, Turkey

The soil erosion is the most serious environmental problem in watershed areas in Turkey. The main factors affecting the amount of soil erosion include vegetation cover, topography, soil, and climate. In order to describe the areas with high soil erosion risks and to develop adequate erosion preventi...

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Main Authors: Abdullah E. Akay, Recep Gundogan, Alaaddin Yuksel
Format: Article
Language:English
Published: MDPI AG 2008-08-01
Series:Sensors
Subjects:
RS
GIS
Online Access:http://www.mdpi.com/1424-8220/8/8/4851/
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spelling doaj-0187611cb3034c3fb52dc9d87189ae072020-11-24T22:50:22ZengMDPI AGSensors1424-82202008-08-018848514865Using the Remote Sensing and GIS Technology for Erosion Risk Mapping of Kartalkaya Dam Watershed in Kahramanmaras, TurkeyAbdullah E. AkayRecep GundoganAlaaddin YukselThe soil erosion is the most serious environmental problem in watershed areas in Turkey. The main factors affecting the amount of soil erosion include vegetation cover, topography, soil, and climate. In order to describe the areas with high soil erosion risks and to develop adequate erosion prevention measures in the watersheds of dams, erosion risk maps should be generated considering these factors. Remote Sensing (RS) and Geographic Information System (GIS) technologies were used for erosion risk mapping in Kartalkaya Dam Watershed of Kahramanmaras, Turkey, based on the methodology implemented in COoRdination of INformation on the Environment (CORINE) model. ASTER imagery was used to generate a land use/cover classification in ERDAS Imagine. The digital maps of the other factors (topography, soil types, and climate) were generated in ArcGIS v9.2, and were then integrated as CORINE input files to produce erosion risk maps. The results indicate that 33.82%, 35.44%, and 30.74% of the study area were under low, moderate, and high actual erosion risks, respectively. The CORINE model integrated with RS and GIS technologies has great potential for producing accurate and inexpensive erosion risk maps in Turkey.http://www.mdpi.com/1424-8220/8/8/4851/RSGISKartalkaya Dam WatershedCORINE
collection DOAJ
language English
format Article
sources DOAJ
author Abdullah E. Akay
Recep Gundogan
Alaaddin Yuksel
spellingShingle Abdullah E. Akay
Recep Gundogan
Alaaddin Yuksel
Using the Remote Sensing and GIS Technology for Erosion Risk Mapping of Kartalkaya Dam Watershed in Kahramanmaras, Turkey
Sensors
RS
GIS
Kartalkaya Dam Watershed
CORINE
author_facet Abdullah E. Akay
Recep Gundogan
Alaaddin Yuksel
author_sort Abdullah E. Akay
title Using the Remote Sensing and GIS Technology for Erosion Risk Mapping of Kartalkaya Dam Watershed in Kahramanmaras, Turkey
title_short Using the Remote Sensing and GIS Technology for Erosion Risk Mapping of Kartalkaya Dam Watershed in Kahramanmaras, Turkey
title_full Using the Remote Sensing and GIS Technology for Erosion Risk Mapping of Kartalkaya Dam Watershed in Kahramanmaras, Turkey
title_fullStr Using the Remote Sensing and GIS Technology for Erosion Risk Mapping of Kartalkaya Dam Watershed in Kahramanmaras, Turkey
title_full_unstemmed Using the Remote Sensing and GIS Technology for Erosion Risk Mapping of Kartalkaya Dam Watershed in Kahramanmaras, Turkey
title_sort using the remote sensing and gis technology for erosion risk mapping of kartalkaya dam watershed in kahramanmaras, turkey
publisher MDPI AG
series Sensors
issn 1424-8220
publishDate 2008-08-01
description The soil erosion is the most serious environmental problem in watershed areas in Turkey. The main factors affecting the amount of soil erosion include vegetation cover, topography, soil, and climate. In order to describe the areas with high soil erosion risks and to develop adequate erosion prevention measures in the watersheds of dams, erosion risk maps should be generated considering these factors. Remote Sensing (RS) and Geographic Information System (GIS) technologies were used for erosion risk mapping in Kartalkaya Dam Watershed of Kahramanmaras, Turkey, based on the methodology implemented in COoRdination of INformation on the Environment (CORINE) model. ASTER imagery was used to generate a land use/cover classification in ERDAS Imagine. The digital maps of the other factors (topography, soil types, and climate) were generated in ArcGIS v9.2, and were then integrated as CORINE input files to produce erosion risk maps. The results indicate that 33.82%, 35.44%, and 30.74% of the study area were under low, moderate, and high actual erosion risks, respectively. The CORINE model integrated with RS and GIS technologies has great potential for producing accurate and inexpensive erosion risk maps in Turkey.
topic RS
GIS
Kartalkaya Dam Watershed
CORINE
url http://www.mdpi.com/1424-8220/8/8/4851/
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