Object-based Image Analysis & Classification in QGIS ArcGIS

Master Object-Based Land Use and Land Cover (LULC) Mapping with Machine Learning in QGIS & ArcGIS

This comprehensive course elevates your geospatial analysis skills with advanced techniques for land use and land cover mapping. Designed for users familiar with QGIS and ArcGIS, you'll learn to leverage remote sensing data and machine learning algorithms for accurate and efficient LULC classification.

Course Introduction:

Dive into object-based image analysis (OBIA) for LULC mapping, a critical skill for GIS and Remote Sensing professionals. This intermediate to advanced course provides practical knowledge in applying machine learning algorithms to LULC mapping, mastering segmentation techniques, and understanding the fundamentals of OBIA. All work is performed using QGIS and ArcGIS on real-world data.

Prerequisites:

Basic knowledge of Remote Sensing image analysis is recommended.

Unique Approach:

This hands-on course focuses on practical application, providing you with the skills to analyze spatial data for your own projects. Gain a competitive edge with advanced GIS skills and mastery of cutting-edge LULC techniques, making you a valuable asset to future employers.

Course Content:

• Object-Based Image Analysis (OBIA) theory and application for LULC mapping.
• Working with satellite images for accurate classification.
• Image segmentation in both QGIS and ArcGIS.
• Mastering all stages of object-based LULC mapping.
• Object-based crop classification using real project data.
• Applying machine learning algorithms like Random Forest and Support Vector Machines for image classification.

Target Audience:

This course is ideal for geographers, programmers, social scientists, geologists, GIS experts, and Remote Sensing analysts who need to create LULC maps and understand change detection in GIS. Learn to utilize advanced classification algorithms for creating accurate land cover and land use maps.

Practical Exercises:

Develop practical skills through hands-on exercises with detailed instructions, code snippets, and datasets. Create LULC maps and change maps using both ArcGIS and QGIS.

Course Inclusions:

Gain access to course data, Java code files, and future resources to support your learning journey. Expand your geospatial analysis skills – enroll today!