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Use of GPS and GIS technology in surveying and mapping of wheat and cotton weeds in Khairpur district, Sindh, Pakistan The borders of classes of intervals are set in depend on existing normative of pollution in different components of environment and empirical character of study parameter distribution on territory under consideration. The most optimal amount of classification intervals describing the natural processes and the phenomena of all-over distribution on the geoeclogical GIS maps is the 3–5 intervals of the parameter that will be considered. The input data were presented by the coordinates of points located on territory according to the scheme of measurements. The geostatistic and deterministic approaches were applied for interpolation of input data. The technique of GIS Arc GIS mapping is illustrated by examples of GIS maps of radioactive and chemical pollution in the snow cover on the territory of St. The CORINE model integrated with RS and GIS technologies has great potential for producing accurate and inexpensive erosion risk maps in Turkey.ĭIGITAL GEOECOLOGICAL MAPS AND SEVERAL METHODS OF ITS CONSTRUCTING IN A GIS ARCGISįull Text Available This article is focused on methods of digital geoecological maps construction with using GIS Arc GIS technologies. 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 digital maps of the other factors (topography, soil types, and climate were generated in Arc GIS v9.2, and were then integrated as CORINE input files to produce erosion risk maps. ASTER imagery was used to generate a land use/cover classification in ERDAS Imagine. 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. 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. The main factors affecting the amount of soil erosion include vegetation cover, topography, soil, and climate. Using the Remote Sensing and GIS Technology for Erosion Risk Mapping of Kartalkaya Dam Watershed in Kahramanmaras, Turkeyĭirectory of Open Access Journals (Sweden)įull Text Available The soil erosion is the most serious environmental problem in watershed areas in Turkey.
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Based on the investigation of field disaster and the construction of spatial database, this paper uses remote sensing image, DEM and GIS technology to obtain the data information of disaster vulnerability analysis, and makes use of the information model to carry out disaster risk assessment mapping.Using Arc GIS software and its spatial data modeling method, the basic data information of the disaster risk mapping process was acquired and processed, and the spatial data simulation tool was used to map the disaster rapidly. And with the rapid development of mathematical statistical tools for spatial modeling and simulation, has promoted the widespread application and popularization of quantization in the field of geology. With the rapid development of GIS and RS technology, especially in recent years, GIS technology and its software functions have been increasingly mature and enhanced. Application of GIS Rapid Mapping Technology in Disaster Monitoring