ENVIRONMENTAL INFORMATION SYSTEM

About this Course

  • 16 students enrolled
  • 3 instructors

Course Description

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 Learning Outcomes

1 ) Analyze environmental information into spatial and non-spatial data ( A3 )
2 ) Demonstrate the skill of applying GIS and remote sensing technology into environmental applications ( P1 )
3 ) Describe the concept of environmental information system ( C2 )

Course Details

STATUS : Open
DURATION : FLEXIBLE
EFFORT : 5 hours per week
MODE : 100% Online
COURSE LEVEL : Beginner
LANGUAGE : English
CLUSTER : Science & Technology ( ST )

Join this course

 Syllabus

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

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

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

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

Data Quality
Sources of Errors in GIS

Geographic Coordinate System
Map Projections
Commonly Used Map Projections

Representation of Simple Features
Vector Data structure
Topology
The Coverage

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

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

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

Our Instructor

PROFESOR GS. DR. ARNIS BINTI ASMAT

 Course Instructor
UiTM Shah Alam

DR. ZITTY SARAH BINTI ISMAIL

 Course Instructor
UiTM Shah Alam

DR. NURUL NADIAH BINTI MOHD FIRDAUS HUM

 Course Instructor
UiTM Shah Alam

 Frequently Asked Questions

A1 : 2 hours

A2 : 3 hours.