Remote Sensing for Land Use and Land Cover Analysis Course

Course Objectives

By the end of this course, participants will be able to:

• Understand the fundamental principles of remote sensing and its role in LULC analysis.
• Interpret and analyze satellite imagery for land use classification and change detection.
• Utilize remote sensing software for processing and analyzing LULC data.
• Apply remote sensing techniques to monitor and manage environmental impacts and land use changes.
• Develop strategies for sustainable land management based on LULC analysis.

Course Outline:

Module 1: Introduction to Remote Sensing

• Definition and principles of remote sensing
• Electromagnetic spectrum and remote sensing sensors
• Types of remote sensing data (aerial imagery, satellite imagery)

Module 2: Image Processing Techniques

• Image preprocessing (radiometric and geometric correction)
• Image enhancement and visualization
• Image classification (supervised and unsupervised)
• Object-based image analysis (OBIA)

Module 3: Land Use and Land Cover Fundamentals

• Definition and classification systems for LULC
• Importance of LULC analysis
• Challenges in LULC mapping

Module 4: Remote Sensing for LULC Analysis

• Selecting appropriate remote sensing data
• LULC classification using image analysis techniques
• Accuracy assessment of LULC maps
• Temporal analysis of LULC changes

Module 5: Applications of Remote Sensing in LULC Analysis

• Deforestation monitoring
• Urban expansion analysis
• Agricultural land use assessment
• Environmental impact assessment
• Natural disaster monitoring