Groundwater Potential Zones GIS Complete Project ArcGIS
- IT & Software
- Feb 17, 2025

Groundwater Potential Zones GIS – Complete Project ArcGIS, available at $69.99, has an average rating of 4.6, with 42 lectures, based on 326 reviews, and has 1457 subscribers.
You will learn about Successfully identify Groundwater Potential Zones Also Drought prone Area analysis Flood Risk map Working with Rainfall Data Generate Soil Map and identify Soil Properties Delineate Watershed Drainage Density and Drainage Maps Mosaic of Digital Elevation Model Area Calculation from Pixels Data Interpolation Adding Data from Excel to GIS Environment Perform GIS data calculations Tool used for Site suitability analysis Working with CDF file and data Extraction, Map Generation, Calculation, Data Reclassification Generate Fluctuation maps to identify Good Aquifer. Data Reproject Calculation with Raster Data Data management in GIS This course is ideal for individuals who are GIS Student or GIS Professionals or Professors or Scientists or Master Student of Remote Sensing and GIS or PhD Research Scholars or Groundwater Exploration Engineers or Irrigation Engineers or Water Resource Engineers or Students of WRDM or Govt Policy Makers or Ministry of Earth Science It is particularly useful for GIS Student or GIS Professionals or Professors or Scientists or Master Student of Remote Sensing and GIS or PhD Research Scholars or Groundwater Exploration Engineers or Irrigation Engineers or Water Resource Engineers or Students of WRDM or Govt Policy Makers or Ministry of Earth Science.
Enroll now: Groundwater Potential Zones GIS – Complete Project ArcGIS
Summary
Title: Groundwater Potential Zones GIS – Complete Project ArcGIS
Price: $69.99
Average Rating: 4.6
Number of Lectures: 42
Number of Published Lectures: 42
Number of Curriculum Items: 42
Number of Published Curriculum Objects: 42
Original Price: $34.99
Quality Status: approved
Status: Live
What You Will Learn
Who Should Attend
Target Audiences
This course covers everything from basic to final results. It starts from Google Search data Download and process data till last result. it also covers the use of available online data sources to prepare Groundwater. It covers all Practical aspects till final results. Only you need to have land use map ready before starting of this course. Rest of things covered in this course from basic. You no need to go anywhere outside of you room to run this project. But if you have observation data then you can generate fluctuation map also, that is optional part of this project. By using GIS it is also possible to generate groundwater maps without groundwater data also. But this data is not easily available. So, while performing groundwater potential zone analysis we not used observed data it is optional. Observed data covered in other section of this course for fluctuation map analysis. The data, which used for Groundwater analysis, same data can be used for other analysis also, like Flood risk, Drought prone area analysis. So this analysis are also performed in this course. Because data is same just difference of value. You will also learn data plotting. This project also covers watershed Delineations. If your study area is not watershed, just use study area boundary and skip watershed delineation. Therefore, it covers more than it specified. You by taking this course you not only learn groundwater, you will learn many more advanced task of GIS also, Like DEM mosaic, Data Re-Project , Cutting of study area, soil map generation etc. Therefore, This is complete project from scratch. Feel free to ask me question in Q&A Section. I assumed you know very basic of GIS to perform this analysis. This is Expert level work.
This course is in Full HD 1080p for better Experience use Setting to HD and headphones.
Only take this course if you know basic of GIS. You must have landuse landcover file before processing to this course.
Course Curriculum
Chapter 1: Introduction
Lecture 1: Introduction
Lecture 2: Download DEM update
Lecture 3: Downloading DEM
Chapter 2: Dem Preparation
Lecture 1: Mosaic DEM
Lecture 2: Identifying UTM Zone and Reproject
Chapter 3: Watershed Delineation
Lecture 1: Fill and Understanding
Lecture 2: Flow Direction and flow accumulation
Lecture 3: Drainage line Generation
Lecture 4: Giving outlet manually
Lecture 5: Watershed delineation and conversion of Data
Chapter 4: Study Area Preparation
Lecture 1: Cut Drainage and Dem
Chapter 5: Generation of Required Surface Datasets
Lecture 1: Slope
Lecture 2: Drainage Density
Lecture 3: Understanding Landuse
Chapter 6: Rainfall Map Preparation
Lecture 1: Rainfall map intro
Lecture 2: Monthly Rainfall Data Download
Lecture 3: Rainfall Data Extraction and cutting
Lecture 4: Band Separation rainfall data
Lecture 5: Sum Rainfall Months and Re – Project
Lecture 6: Final Rainfall Map Generation
Chapter 7: Data Arrangement and Soil Data Preparation
Lecture 1: Arranging Data
Lecture 2: Soil Data Download and Preparation
Chapter 8: Data Reclassification
Lecture 1: Understanding Data Reclassification
Lecture 2: Classification Methods and Classifying DEM
Lecture 3: Reclassify all Prepared data
Lecture 4: Managing data
Chapter 9: Performing Groundwater Analysis
Lecture 1: Understanding concept of Overlay
Lecture 2: Groundwater Potential Zones
Lecture 3: Area calculation of Potential zones from pixels
Chapter 10: Flood Risk and Drought from same data
Lecture 1: Flood Risk Intro
Lecture 2: Flood risk zone identification analysis using same data
Lecture 3: Drought intro
Lecture 4: Drought Zone identification from same data
Chapter 11: Groundwater Fluctuation from Observed data
Lecture 1: Understanding fluctuations
Lecture 2: Prepare Excel sheet for GIS
Lecture 3: Plotting Excel data to use in ArcGIS and Map Generation
Lecture 4: Generating fluctuation Map
Chapter 12: Tips for Better Analysis
Lecture 1: Few Tips for Better Research
Lecture 2: The last Video
Chapter 13: Expired Videos
Lecture 1: Downloading DEM
Chapter 14: What is next
Lecture 1: Do and Donts in GIS
Lecture 2: Bonus Lecture
Instructors

Lakhwinder Singh
Advanced GIS and Machine Learning
Rating Distribution
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