Land use Land cover classification GIS, ERDAS, ArcGIS, ML

Unlock the Power of Land Use Classification with this Comprehensive GIS Course

This is the first dedicated land use land cover course on Udemy, tackling one of the most critical and challenging topics in Geographic Information Systems (GIS). From initial data download to generating final, accurate results, this course provides a complete workflow. You'll gain practical skills using industry-leading software including ERDAS, ArcGIS, ENVI, and Machine Learning techniques.

Master Land Use Classification Methods:

• Explore all possible land use classification methods: Learn the theoretical concepts behind supervised, unsupervised, and combined classification approaches.
• Pixel Correction Expertise: Discover effective methods for correcting error pixels, crucial for achieving high accuracy in your land cover maps.
• Area-Specific Accuracy: Learn how to tailor classification techniques to specific areas, maximizing accuracy for your study area.
• Supervised, Unsupervised & Combined Methods: Understand the strengths and weaknesses of each approach.
• Pixel Correction Techniques: Learn to refine your classifications for optimal results.

Hands-on with Leading GIS Software:

This course heavily focuses on practical application using ERDAS Imagine (versions 2014, 2015, 2016, and 2018) and ArcGIS (version 10.1 and above, including 10.4, 10.7, and 10.8). You'll gain proficiency in image classification and calculations within these platforms.

Beyond Classification: Pre-processing & Accuracy Assessment

This course goes beyond just classification. You'll learn essential pre-processing techniques after data download and before classification, ensuring optimal results. Furthermore, you'll learn to generate a comprehensive accuracy assessment report in ERDAS.

Addressing Common Classification Challenges:

This course directly addresses common problems encountered during land use classification:

• Distinguishing Urban Areas from Barren Land: Learn techniques to differentiate between areas with similar spectral signatures.
• Handling Dry River Issues: Understand how to avoid misclassification of dry riverbeds as urban or barren land.
• Classifying Forest in Hilly/Shaded Areas: Discover methods to address challenges in classifying forest cover in hill shade.
• Adding New Classes: Learn how to effectively add new classes to your land cover map after initial classification.

A Structured Learning Approach:

• Comprehensive Coverage: Each land use method section starts with a thorough explanation of the method.
• Strategic Learning Path: The course is designed for progressive learning. Start with a method you find easiest and best suited to your study area, then build your knowledge. It's recommended to watch the entire course before beginning land use classification.
• High Practical Application: Expect approximately 90% practical exercises to reinforce your understanding.
• Theoretical Foundation: The course balances practical application with a solid theoretical understanding of land use classification principles.

Enroll now to gain the skills and confidence to tackle any land use classification project!