
Define a projected coordinate system for the elevation raster, download the aster digital elevation model, clip to your study area in ArcGIS, and apply hillshade with a five-class color scheme.
Learn to create a slope raster from an elevation raster using ArcGIS tools, set the output in degrees, classify into five classes, and explore hillshade visualization.
Prepare geomorphology raw data using ArcGIS topography tools to generate landform classification rasters (valley, plain, hillside, mountain) for groundwater potential zone analysis.
Learn to create drainage density raster from line density analysis in ArcGIS, export as TIFF, set study area projection, and interpret higher density blue areas.
Explore groundwater potential zones by creating lineament density rasters from a digital elevation model, digitizing fracture and fault zones as polylines, and applying the line density tool.
Compute distance to streams using multiple ring buffers in ArcMap to map groundwater potential zones; lower distances indicate higher groundwater potential, guiding GIS analysis and road map preparation.
Learn to print groundwater potential zone maps in GIS by configuring layout, adding legends, scale bars, grids, labels, and exporting the final map.
Hello,
The weights and effects of 11 different layers were calculated for the Groundwater Potential Zone analysis with the Weighted Overlay Analysis method. The use of Geographic Information Systems (GIS) in different type of analysis studies is increasing day by day.
Geographic Information Systems are used to collect, process and analyze existing data in order to identify potential groundwater areas. In this study, groundwater potential areas of the district of Uckerland where its located in Germany The Groundwater analysis was determined by GIS and Remote Sensing techniques.
In the modeling phase, the Weighted Overlay Analysis method was applied and digital maps such as Elevation, Slope, TWI, NDVI,Linemant Density, Precipitation, Land Use and Landcover , distance to stream,Geomorphology and Soil maps were produced.
You will learn from where and how the data to be used in the analysis is downloaded, what geographical processes it goes through and how it is prepared for analysis.
Raster and vector data how to be prepared one by one, projection conversion operations, adding fields and the shortcuts that will speed up your process when converting from raster to vector and from vector to raster will be especially useful for you. Based on this study, it has been prepared as a resource for you to do a similar study about any part of the world. By sharing the data I used throughout the study with you, I allow you to practice.