Land use Land cover classification GIS ERDAS ArcGIS ML faq

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learnersLearners: 2,775
instructor Instructor: Lakhwinder Singh instructor-icon
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Curious about land use and cover classification using GIS and machine learning? This course has you covered. #LandUse #ML #GIS

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Course Feature Course Overview Course Provider Discussion and Reviews
Go to class

Course Feature

costCost:

Paid

providerProvider:

Udemy

certificateCertificate:

Paid Certification

languageLanguage:

English

start dateStart Date:

2023-02-23

Course Overview

❗The content presented here is sourced directly from Udemy platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.

Updated in [August 21st, 2023]

What skills and knowledge will you acquire during this course?
By taking this course on Land Use Land Cover Classification using GIS, ERDAS, ArcGIS, and Machine Learning, the learner will acquire the following skills and knowledge:

1. Understanding of the fundamentals of land use and land cover classification.
2. Proficiency in using ERDAS, ArcGIS, ENVI, and Machine Learning for image classification and calculations.
3. Knowledge of various methods of land use classification, including supervised, unsupervised, combined methods, and pixel correction methods.
4. Ability to preprocess images after download and correct error pixels.
5. Understanding of area-specific pixel correction techniques to achieve maximum accuracy.
6. Familiarity with generating accuracy assessment reports in ERDAS.
7. Ability to apply different land use methods based on the study area characteristics.
8. Proficiency in using Erdas versions 2014, 2015, 2016, and 2018, as well as ArcGIS versions 10.1 and above (e.g., 10.4, 10.7, or 10.8).
9. 90% practical knowledge and 10% theoretical understanding.
10. Problem-solving skills for common challenges faced during classification, such as distinguishing between urban areas and barren land, handling dry river reflections, classifying forest in hilly areas, and adding new classes after completing the classification process.

Overall, this course will equip the learner with the necessary skills and knowledge to confidently perform land use land cover classification using GIS, ERDAS, ArcGIS, and Machine Learning techniques.

How does this course contribute to professional growth?
This course on Land Use Land Cover Classification using GIS, ERDAS, ArcGIS, and Machine Learning contributes to professional growth by providing comprehensive knowledge and practical skills in the most demanding topic in GIS. The course covers everything from data download to final results, including pre-processing of images, error pixel correction, and theoretical concepts. By learning the various methods of land use classification, including supervised, unsupervised, combined methods, and pixel correction, professionals will gain the expertise to perform accurate land use classification without needing to seek external assistance. The course also focuses on Erdas and ArcGIS for image classification and calculations, providing in-depth understanding of all methods. Additionally, the course covers image classification with Machine Learning and includes the generation of accuracy assessment reports in Erdas. By addressing common problems faced during classification, such as distinguishing between urban areas and barren land, correcting errors in different types of areas, and adding new classes after final work, professionals will be equipped with the necessary skills to overcome these challenges. Overall, this course enhances professional growth by equipping individuals with the knowledge and skills to effectively perform land use land cover classification using GIS, ERDAS, ArcGIS, and Machine Learning.

Is this course suitable for preparing further education?
Yes, this course is suitable for preparing further education.

Course Syllabus

Downloading and Data Processing

Understanding Satellite image and Google Earth Pro

Which method to use and Why

Supervised Classification

Unsupervised classification

Combined classification

Error pixel correction and New Class Generation

Results from Landuse

Best Practical- Landuse Task in ArcGIS and ENVI

Miscellaneous

Miscellaneous Task - Cut Your Study Area

Download Data used in Course

Error Resolving

Machine Learning in ArcGIS for Image classification

Bonus

Course Provider

Provider Udemy's Stats at AZClass

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faq FAQ for Gis Courses

Q1: Does the course offer certificates upon completion?

Yes, this course offers a paid certificate. AZ Class have already checked the course certification options for you. Access the class for more details.

Q2: How do I contact your customer support team for more information?

If you have questions about the course content or need help, you can contact us through "Contact Us" at the bottom of the page.

Q3: How many people have enrolled in this course?

So far, a total of 2775 people have participated in this course. The duration of this course is hour(s). Please arrange it according to your own time.

Q4: How Do I Enroll in This Course?

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