Download Learn How to Find Groundwater Potential Zones/GIS/RMS/ArcGIS 2024
Learn How to Find Groundwater Potential Zones/GIS/RMS/ArcGIS udemy video course download, learn how to find Groundwater Potential Zone Analysis for any of the study area in this world. 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.
What you’ll learn
- Weighted Overlay Analysis
- Reclassification Method
- Remote Sensing Method
- Spatial Analysis Methods
- Learn to the differences between İnfluence and Scale values terms (Weighted Overlay Analysis)
- How to print Final Map
- Learn how to calculate potential zone areas
- NDVI and TWI Analysis
- Learn how to create raw criteria rasters
Course content
- Introduction
- How to create raw raster datas and vectoral datas (11
- Criteria)/Preparing Phase
- Reclassification Method (2. phase)
- Weighted Overlay Analysis (3. phase)
- Printing Final Map and Calculating
Who this course is for:
- Surveying Engineers
- Geological Engineers
- Hydrology Engineers
- Land Managers
- Students who related with GIS
Course details
- Video quality: MP4 | Video: h264, 1280 × 720
- Audio quality: Audio: AAC, 44.1 KHz, 2 Ch
- Last updated 9/2024
- Video duration: 4h 38m
- Number of lessons: 5 sections, 22 lectures
- Language: Language: English
- Compressed file size: 3.3 GB
