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首页> 美国卫生研究院文献>Sensors (Basel Switzerland) >Using the Remote Sensing and GIS Technology for Erosion Risk Mapping of Kartalkaya Dam Watershed in Kahramanmaras Turkey
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Using the Remote Sensing and GIS Technology for Erosion Risk Mapping of Kartalkaya Dam Watershed in Kahramanmaras Turkey

机译：使用遥感和GIS技术绘制土耳其Kahramanmaras的Kartalkaya大坝流域的侵蚀风险图

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摘要

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.
机译：水土流失是土耳其流域地区最严重的环境问题。影响土壤侵蚀程度的主要因素包括植被覆盖率，地形，土壤和气候。为了描述水土流失风险高的地区，并在水坝流域制定适当的水土流失防治措施，应考虑这些因素生成水土流失风险图。遥感（RS）和地理信息系统（GIS）技术被用于土耳其Kahramanmaras的Kartalkaya大坝流域的侵蚀风险制图，其方法是基于环境信息混合（CORINE）模型中实现的方法。在ERDAS Imagine中，使用ASTER图像生成土地使用/覆盖分类。其他因素（地形，土壤类型和气候）的数字地图是在ArcGIS v9.2中生成的，然后被集成为CORINE输入文件以生成侵蚀风险图。结果表明，分别有33.82％，35.44％和30.74％的研究区域处于低，中和高实际侵蚀风险下。结合了RS和GIS技术的CORINE模型在土耳其产生准确而廉价的侵蚀风险图具有巨大潜力。

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