Day 1: Introduction to Remote Sensing

• Definition and importance of remote sensing

• Types and techniques of remote sensing (satellites, drones, electromagnetic spectrum)

• Components of remote sensing systems

• Applications of remote sensing in various fields

Day 2: Remote Sensing Data Processing and Analysis

• Types and formats of remote sensing data

• Image processing techniques (correction, classification, enhancement)

• Digital image analysis and information extraction

• Integrating remote sensing data with other datasets

Day 3: Introduction to Geographic Information Systems (GIS)

• Definition and components of GIS

• Data types in GIS (raster and vector)

• Common GIS tools and software

• Importance of integrating GIS with remote sensing

Day 4: Integration of Remote Sensing with GIS

• Techniques for integrating remote sensing data into GIS

• Map creation and spatial data analysis

• Applications in urban planning, agriculture, environment, and infrastructure

• Managing integrated spatial databases

Day 5: Advanced Applications and Future Trends

• Use of Artificial Intelligence in remote sensing and GIS data analysis

• Time series analysis and temporal remote sensing

• UAV technologies and their role in integration

• Case studies and practical applications