Module 1:  Satellite Image Acquisition & Processing

• Earth Explorer Registration and downloading satellite images
• Importing images into ArcGIS 10.8
• Image pre-processing: Projection, resolution, and clipping
• Mosaic of multiple satellite images
• Band composition for image enhancement

Module 2:  Image Interpretation and Visualization

• False Color Composite (FCC) and True Color Composite (TCC)
• Band combinations for different applications (Vegetation, Urban, Water)
• NDVI (Normalized Difference Vegetation Index) and other indices

Module 3: Image Classification Techniques

• Supervised vs. Unsupervised classification
• Training sample collection for supervised classification
• Maximum Likelihood Classifier (MLC), Random Forest, SVM
• Accuracy assessment and confusion matrix

Module 4: Change Detection Analysis

•  Preprocessing for multi-temporal analysis
• Pixel-based and object-based change detection
• Land Use Land Cover (LULC) change analysis

Module 5: Spatial Analysis & Mapping

• Creating Concentration Maps using IDW (Inverse Distance Weighting)
• Understanding IDW Method & Area Calculation
• Creating Population, Pollution, and Density Maps

Module 6: Advanced Remote Sensing Applications

• LST (Land Surface Temperature) Extraction & Analysis
•  Urban Heat Island (UHI) Detection using Remote Sensing
•  Afforestation & Deforestation Mapping

Module 7: Remote Sensing for Environmental Applications

• River Accretion & Erosion Analysis using time-series data
• Water body mapping and wetland studies
• Forest cover analysis and deforestation detection
• Climate change monitoring
• Disaster management (Flood, Landslide, Cyclone)

Module 8: GIS & RS Integration and Final Project

• Combining remote sensing with vector GIS
• Time-series analysis using RS data
• Case study: Land use monitoring or coastal erosion analysis
• Preparing a research report and visualization