Course Details
Subject {L-T-P / C} : CE6540 : Earth System Observation and Environmental Applications { 3-0-0 / 3}
Subject Nature : Theory
Coordinator : Maithili Mohanty
Syllabus
| Module 1 : |
Introduction to Earth Observation Systems, Fundamentals of Remote Sensing, Satellite Platforms and Sensors |
| Module 2 : |
Image Processing Techniques, Pre-processing, classification (supervised, unsupervised), NDVI, NDWI, and change detection |
| Module 3 : |
Environmental Applications – Land Systems, Land use/land cover mapping, urban heat island, deforestation, and land degradation assessment |
| Module 4 : |
Environmental Applications – Water Systems, Surface water mapping, water quality, flood and drought monitoring |
| Module 5 : |
Environmental Applications – Atmospheric & Climate Studies, Aerosols, temperature anomalies, climate variability indicators using satellite data |
Course Objective
| 1 . |
Students will be able to understand the physical principles of electromagnetic radiation and its interaction with the atmosphere and Earth’s surface |
| 2 . |
Students will be able to analyze and interpret multispectral and hyperspectral remote sensing data for environmental applications |
| 3 . |
Students will be able to apply GIS and EO data for hydrological, agricultural, and urban ecosystem assessments. |
| 4 . |
Students will be able to integrate EO datasets for climate, water quality, and land-use monitoring using open-source tools. |
| 5 . |
Students will be able to critically evaluate case studies and policy implications of EO-based environmental management. |
Course Outcome
| 1 . |
Students will be able to explain the principles of Earth Observation, sensor characteristics, and the fundamentals of electromagnetic radiation interaction with the atmosphere and Earth’s surface. |
| 2 . |
Students will be able to apply image preprocessing, classification, and index-based analysis (e.g., NDVI, NDWI) techniques to interpret satellite imagery for environmental assessment. |
| 3 . |
Students will be able to analyze land system dynamics such as urban expansion, deforestation, and land degradation using multi-temporal and multi-sensor satellite data. |
| 4 . |
Students will be able to evaluate surface water and aquatic ecosystem conditions using remote sensing indicators of water quality, flood, and drought patterns. |
| 5 . |
Students will be able to assess atmospheric and climate variability using EO-derived parameters (aerosols, temperature anomalies) and integrate these datasets for environmental change monitoring. |
Essential Reading
| 1 . |
Ghanashyam Sharma, Aswini N K , Remote Sensing of Environment, Astral Publishing Authors Across the Globe |
Supplementary Reading
| 1 . |
Mukherjee, Textbook of Environmental Remote Sensing , Laxmi Publications |
Journal and Conferences
| 1 . |