Land use Land cover classification GIS, ERDAS, ArcGIS, ML
What you'll learn
- Able to do a Prefect Land use classification of Earth using satellite image
- Also learn image Processing and analysis in depth
- Landuse change Detection
- Understand Features identification on Earth using Landsat Image
- Post Landuse Pixel level corrections
- Accuracy Assessment Report
- Downloading of best satellite image and process
- Understanding FCC satellite image and bands
- Pixel level correction in land use at specific area and statistical filters
- Calculate area from Pixels
- Generate new class after final landuse
- Learn all best method of classification.
- How to achieve maximum accuracy of classification
- Cut Study Area
- Classify with Machine Learning
- Support Vector Machine
- Random Forest
- You must have ArcGIS and ERDAS or ENVI
- You must have basic knowledge of GIS
This is the 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, ENVI and MACHINE LEARNING. I explained all the possible methods of land use classification. More then landuse, Pre-Procession of images are covered after download 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 the theoretical concept also during the processing of data. I have covered supervised, unsupervised, combined method, pixel correction methods etc. I have also shown to correct area-specific pixels to achieve maximum accuracy. Most of this course is focused on Erdas and ArcGIS for image classification and calculations. For in-depth of all methods enrol in this course. Image classification with Machine learning also covered in this course.
This course also includes an accuracy assessment report generation in erdas.
Note: Each Land Use method Section covers different Method from the beginning, So before starting landuse watch the entire course. Then start land use with a method that you think easy for you and best fit for your study area., then you will be able to it best. Different method is applicable to a different type of study area. This course is applicable to Erdas Version 2014, 2015, 2016 and 2018. and ArcGIS Version 10.1 and above, i.e 10.4, 10.7 or 10.8
90% practical 10% theory
Problem faced During classification:
Some of us faced problem during classification as:
Urban area and barren land has the same signature
Dry river reflect the same signature as an urban area and barren land
if you try to correct urban and get an error in barren
In Hilly area you cannot classify forest which is in the hill shade area.
Add new class after final work
How to get rid of this all problems Join this course.
Who this course is for:
- Civil Engineers
- Water Resource Experts
- Master Student of GIS
- PhD Students of Satellite Data Analysis
- Research Scholars
- GIS Analyst
- Environment and Earth Science Persons
- Urban and city Planner
I completed PhD at IIT Roorkee. I have wide Experience of GIS more than 12 years. I have developed my Own Models, Online Apps. Performed Automated task in GIS for faster Project management. I did many real projects for Govt. Like planing of the lake. Discharge Simulation, Soil Erosion, Sediment model development and analysis. Research is published in International Journals. You can find me on Research-gate also. I answer GIS Queries around the world with my GIS Facebook page followed by 25k and Youtube followed by 48k. and running worldwide GIS discussion group with 50k Expert of GIS around the world. Even I have a free Basic tutorial website. I also taught GIS course for Govt Engineers sponsored by Govt with real-life problems and discussion. So I have wide Experience of the teaching of GIS. I know how to teach difficult task in an Easy way. I am providing a course at my own place to student around the world. Including Nepal, India, Ghana, Ethiopia, Zambia, South Africa, etc At my own place I teaching full GIS course from Basic to Advanced covering 124 topics. My student required just basic knowledge of computer and they will become GIS Expert at End of Course.
Received International Award for Best SWAT Support, from Texas A&M University, USA and USDA at Brussels, Belgium
All course 90% practical 10% theory
My training Method of Different than All others. More user friendly from practical Examples. I know how our brain learns scientifically.