Subject Syllabus
CE504 (B) - Remote Sensing & GIS
CIVIL · Semester 5
Course Modules
Learn topic-wise with Hyper AI and revise using mapped PYQs.
Basic concept of Remote sensing, Data and Information, Remote sensing data collectionRemote sensing advantages & Limitations, Remote Sensing processElectromagnetic Spectrum, Energy interactions with atmosphere and with earth surface features (soil, water, and vegetation)Resolution, image registration and Image and False color composite, elements of visual interpretation techniques
Indian Satellites and Sensors characteristics, Remote Sensing Platforms, Sensors and Properties of Digital Data, Data FormatsPlatforms- IRS, Landsat, SPOT, Cartosat, Ikonos, Envisat etc. sensors, sensor resolutions (spatial, spectral, radiometric and temporal)Basics of digital image processing- introduction to digital dataSystematic errors (Scan Skew, Mirror-Scan Velocity, Panoramic Distortion, Platform Velocity, Earth Rotation) and non-systematic [random] errors (Altitude, Attitude)Image enhancements (Gray Level Thresholding, level slicing, contrast stretching), image filtering
Introduction to GIS; components of a GIS; Geographically Referenced DataSpatial Data- Attribute data-Joining Spatial and attribute dataGIS Operations: Spatial Data Input – Attribute data ManagementGeographic coordinate System, Datum; Map Projections: Types of Map Projections, Projected coordinate Systems, UTM Zones