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Course Info

About this Course

This course is intended to introduce and assess the fundamental concepts of environmental information system in the context of environmental management and monitoring using GIS and remote sensing technologies. Students will be introduced to a number of case studies regarding environmental changes and sustainability issues to explore the wide range of GIS and remote sensing applications, but gain depth in selected areas through hands-on practical and ways to extract meaningful geophysical information from remote sensing data to solve environmental problems.

Course Syllabus

Environmental Information System
Environmental Changes and dynamic
Environmental Management at Diverse Spatial and Temporal Scales
Spatial and Non-spatial Data
Cloud Computing for Environmental Information System

Principle of Remote Sensing
Remote Sensing In A Nutshell
What Can Remote Sensing Data Tell Us

Remote Sensing Systems
Active and Passive Systems,
Imaging and Non Imaging Systems
Concept of Resolutions in RS:
Spatial
Spectral
Radiometric
Temporal

Geographical Information System
Spatial Information System: An Overview
Hardware and Software requirements of GIS
Conceptual Model of Spatial Information
Concept of databases and Conceptual Models of Non-Spatial Information
GIS Data Creation and Organization

5. Geospatial Big Data
Data Quality
Sources of Errors in GIS

Coordinate system and map projection
Geographic Coordinate System
Map Projections
Commonly Used Map Projections

Vector Data Model
Representation of Simple Features
Vector Data structure
Topology
The Coverage

Raster Data Model
Elements of the Raster Data Model
Raster Data Structure
Data Conversion and Integration

Environmental Spatial Modeling and Analysis
Introduction to Spatial Analysis
Elements of Geospatial Modeling
Data Exploration
Vector-based Analysis
Raster-based Analysis
Spatial Interpolation

Selected environmental application using integrated GIS and Remote Sensing technology
Land Use and Non-Point Source Pollution Studies
Data Processing and Analysis for air quality studies
Geo-spatial Technologies for Urban Environment Studies
Remote Sensing Applications Water quality studies
Heavy metal concentration distribution for risk and hazard assessment
Recent trend in GIS and remote sensing

Frequently Asked Questions

Q1 : How many hours of lecture?
A1 : 2 hours

Q2 : How many hours of hands-on labs?
A2 : 3 hours.