Applied Gis And Remote Sensing
The course illustrates the fundamental concepts of GIS and remote
sensing technologies. Topics include the physical basis for remote sensing,
remote sensing systems, digital image processing, data structures, database
design, and spatial data analysis. The course is not intended to provide
students with extensive training in particular image processing or GIS
packages. However, hands-on computer laboratory sessions re-enforce critical
concepts. Working knowledge of personal computers and completion of a term project
The aim of the
course is to introduce students to the process of Environmental Impact
Assessment (EIA) and the procedures that are followed in environmental
management in industry.
By the end of this
course, the student should be able to:
§ Describe an introductory principle and working
knowledge of Geographic Information Systems (GIS).
§ Use GIS through a number of case study exercises.
§ Explain basic concepts of the physics of remote sensing
and an introduction to the major remote sensing systems that are in operation
§ Identify current research, technology and policy
developments in the GIS/RS area and their potential applications to
environmental and sustainability issues.
A student completing
the course is expected to demonstrate knowledge and understanding of:
§ The concepts that
define Geographic Information Systems.
§ the geographic
space with concepts and terms commonly used to build operating models in GIS.
§ the diverse
techniques and instruments adequately to measure, locate and find bearings on a
map and in a field. Photo-interpret basic environmental and socioeconomic
variables using photographs taken in Spain.
§ The use GIS and
its geo-processes and functions. Know and apply some basic techniques to
thematic mapping design.
§ Remote Sensing
concepts, physical fundaments and components and adequately use vocabulary,
terminology and nomenclature of the discipline.
§ the main Remote
Sensing Systems and programs (sensors, platforms, etc.) and assess its
potential to spatial analysis.
§ the use main
methods to improve, correct and interpret properly Remote Sensing Images.
§ The factors
responsible for the main land cover behaviour.
§ The use GIS
software to perform different spatial analysis and satellite image digital
analysis. Prepare documents of medium complexity, consisting of text, maps,
graphs and tables to clearly present the design specifications of a data model
for GIS application.