Sunday, December 9, 2018

Estimation of Groundwater Potential Zones using GIS and Remote Sensing

Estimation of Groundwater potential zone using GIS is and very easy work. Even Just basic knowledge of GIS is Required. You Just need to know to concept how it works and how to take that work from form GIS data. Groundwater Potential zone is just an estimate of possible location of water availability. But it does not tell the water depth. But if you want to know monitor changes in water depth in this case you need to work with actual data and plot that data in GIS. You can also calculate water level changes and location by using GIS if you have observation data. Groundwater Required few layers like Land Use, Rainfall, Soil, Drainage density,  DEM, Even number of layers is not limited you can use any number of layer as per information available, like Geomorphology also. This project is sometime given to Master of PhD students. But actually this is work of Just one day if you have good internet connection and ability to work Just 8 hrs continuous. Only write up will take time. So here is step by step Video tutorial is available for this project. It covers from data downloading to final results, Even the same tutorial covers Drought and Flood risk zone also, because it use same data.  High Quality GIS contents are not free, But too cheap also as 10$. If you learn GIS offline this will cost you thousand of dollars and at last you not have single video of course. You purely depend on you notebook. But if everything is available in video you can do it better, watch any step anytime rewind it. So All reading this post have access to this course using special link. Below this post. 
  • 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
Are there any course requirements or prerequisites?
  • Basic GIS
  • Must have Landuse image
  • You must have ArcGIS any Version
Who this course is for:
  • GIS Student
  • GIS Professionals
  • Professors
  • Scientists
  • Master Student of Remote Sensing and GIS
  • PhD Research Scholars
  • Groundwater Exploration Engineers
  • Irrigation Engineers
  • Water Resource Engineers
  • Students of WRDM
  • Govt. Policy Makers
  • Ministry of Earth Science

Groundwater Potential Zones using GIS






Wednesday, September 5, 2018

How to Predict future landuse using GIS

Prediction of future landuse is an easy task. You Just know basic of GIS. Let's Think how urban area will grow. 
Growth Depends on Some factors as:

  1. Distance between two cities
  2. Distance from Roads
  3. Elevation of City
  4. Near to outer area of city
  5. Trend of change from Agriculture to Urban, or Forest to Urban
  6. The actual landuse
  7. Rate of change
We can predict future landuse in two ways, Using Regression model or By CA Markov Method with Machine learning approach to solve complex problems. 

So CA Markov is best to predict with MLP and Neural Network approach. This way we train our model with 50% learning and 50% testing approach. But any learning accuracy between 40% to 70% will provide accurate results. It depends upon how we are getting output results. Each time after modification check results by comparing to real landuse if it matches at least 70% then continue to predict for future.  All task are too easy some work need to do in ArcGIS and some in Terrset Model. Both are NOT open source.

If you want to see in Detail Click Here to Know More

See in Video Below How it works.