Remote Sensing (UGC Aligned)

Learning Outcomes

• Explain sensor geometry and spectral response behavior.
• Perform preprocessing and classification of multispectral images.

Module 1: Fundamentals

• EMR interaction with atmosphere, water, soil and vegetation.
• Spatial, spectral, radiometric and temporal resolutions.

Module 2: Sensors and Platforms

• Landsat, Sentinel, MODIS and high-resolution commercial missions.
• SAR fundamentals and microwave remote sensing applications.

Module 3: Digital Image Processing

• Geometric and radiometric corrections.
• Contrast enhancement and filtering.
• Image classification and confusion matrix.

Module 4: Applied Remote Sensing

• LULC mapping and temporal change detection.
• Drought, flood and urban expansion analysis.

Practical Work

• Prepare one LULC map and one NDVI-based analysis.
• Submit methodology note and interpretation report.

Recommended Academic Practice

• Maintain lab notebook and metadata for each dataset.
• Cite data source, acquisition date and processing steps in reports.