
Learn to identify groundwater potential zones with ArcGIS and remote sensing, applying 11 criteria: elevation, slope, precipitation, soil land use, distance to streams, ndvi, topographic wetness index, via weighted overlay.
Download the study area boundary for groundwater potential zones using ArcGIS by selecting Germany, choosing the shapefile format, and organizing your project folders.
Define reference system in ArcGIS by converting data from geographic to projected coordinates using UTM zone 33, attaching the study area, and exporting the groundwater potential zone dataset.
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.
Learn to create a precipitation map for groundwater potential zones using ArcGIS, moving from netCDF precipitation data to raster, then to points and IDF interpolation for the study area.
Explore preparing raw rainfall raster data in ArcGIS by applying IDF interpolation results, adding precipitation rasters, and applying five-class symbology to highlight areas with highest and lowest total rainfall.
Download FAO digital soil map shapefile, define geographic coordinates, convert to utm 33n, clip to study area, and leverage swat data with s-num and clay percentage for groundwater potential zones.
Download Esri land use and land cover ten meter tiff data from the Living Atlas, load it in ArcGIS, and prepare a 11-class land use raster for groundwater potential analysis.
Prepare geomorphology raw data using ArcGIS topography tools to generate landform classification rasters (valley, plain, hillside, mountain) for groundwater potential zone analysis.
Perform hydrology analysis in ArcGIS to generate and filter stream data, compute flow direction and accumulation, and prepare drainage density raster outputs for groundwater potential zoning.
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.
Create an ndvi raster from Landsat 9 band 5 and band 4 to quantify vegetation greenness and identify groundwater potential zones.
Learn how to create a topographic wetness index (TWI) raster to identify groundwater potential zones in ArcGIS using slope, flow direction, and flow accumulation via raster calculator.
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.
Reclassify raster data into consistent value ranges to enable weighted overlay analysis for groundwater potential zones, assigning a single new value per class; five classes are often recommended.
reclassify raster data and convert vector to raster in arcgis to prepare for weighted overlay analysis. apply literature-based influence and scale values to evaluate groundwater potential zones.
Learn overlay analysis for groundwater potential mapping by applying 11 criteria including drainage density, influence, and scale, then use weighted overlay to identify zones tailored to your study area.
Perform a weighted overlay analysis in GIS to map groundwater potential zones using inputs like drainage density, slope, elevation, land use, precipitation, ndvi, and soil.
Learn to print groundwater potential zone maps in GIS by configuring layout, adding legends, scale bars, grids, labels, and exporting the final map.
Develop the groundwater potential zone using a weighted overlay analysis, then calculate low, moderate, and good areas in square kilometers by converting 30-meter tiff pixels.
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.