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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. 

Tuesday, August 28, 2018

Learn ArcSWAT Model Watershed Simulation using GIS - Complete Tutorial


ArcSWAT is Watershed simulation model in GIS. It uses weather and climate data to calculate water flow at outlet Watershed. Its very Easy also. Most of Research paper accepted who used SWAT Hydrological Model. It works with ArcGIS 10.1-10.4.  It used to calculate water flow for ungauged catchments.  Never think simulation is difficult, if learn in proper way its like Just Word. Surprise your friends by Publishing a Good paper. 
In this course you will learn other related advance task of GIS also, like preparation of Soil Map, Mosaic of DEM etc.
  • Discharge in Cubic meter Per Second at Watershed outlet, Daily Monthly and yearly
  • Watershed and Sub-watershed delineation using SWAT
  • Configure SWAT model for any Area in World
  • Groundwater Recharge
  • Sediment at outlet (Soil Erosion)
  • Water Yield
  • Preparation of Soil Map and DEM Mosaic for large Watershed
  • Water Quality
  • Simulation of Daily Data
  • Data preparation for SWAT
  • Updating SWAT Database
  • Understanding advance task of Simulation
  • Working with daily data and working without data
  • Configure Data set for India
  • Evaporation and Evapotranspiration
  • Watershed Simulation
  • Successfully run The SWAT Model
  • Preparation of Soil Map of Any country
Link to Course: https://www.udemy.com/running-arcswat-model-with-arcgis-for-any-study-area-gis/?couponCode=INDIAREMOTESENSING16

Monday, July 16, 2018

Join US on Facebook for More GIS

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This is group for GIS Discussion. You can Post your Tutorials - courses or ask any GIS related questions. We will answer.

Saturday, April 7, 2018

ArcSWAT Tutorial from Scratch Step by step - Everything about swat from zero to advance

ArcSWAT Model with ArcGIS - Run for any Study Area - GIS

ArcSWAT in most widely used watershed simulation model in GIS. Most of paper accepted in peer review Journals that used SWAT model. This model has inbuilt data for USA. But it does not have data for other countries. So we need to configure this model for non-us location.

Monday, January 8, 2018

Landuse landcover classification step by step Udemy Coupon

This is first landuse landcover course on udemy the most demanding topic in GIS, In this course I covered from data download to final results. I used ERDAS, ArcGIS and ENVI. I explained all possible methods of land use classification. More then landuse Pre Procession of images are covered after dowanload and after classification, how to correct error pixels are also covered, So after learning here you no need to ask anyone about lanudse classification. I explained theoretical concept also during processing of data. I have covered supervised, unsupevised, combined method, pixel correction methods etc. For in depth of all methods enroll in this course. 

Problem faced During classification:

Some of us faced problem during classification as:


  1. Urban area and barren land has same signature
  2. Dry river reflect same signature as urban area and barren land
  3. if you try to correct urban and get error in barren
  4. In Hilly area you cannot classify forest which is in the hill shade area. 
How to get rid of this all problems Join this course in link below. Don't miss this chance its already at 70% off link for all visitor of this site


Hands on Landuse landcover classfication in depth. In This course you will learn secret behind much accurate...

Posted by Remote Sensing and GIS Techonology on Friday, February 2, 2018