Offered to students admitted to Year 1 in ALL
Major/Minor ALL
Course Type
Offer in 2018 - 2019 Y N
Course Code EASC3405
Date2019/05/26 03:16
Enquiry for Course Details
EASC3405 Environmental remote sensing (6 credits) Academic Year 2018
Offering Department Earth Sciences Quota 54
Course Co-ordinator Dr J Michalski, Earth Sciences < jmichal@hku.hk >
Teachers Involved (Dr J Michalski,Earth Sciences)
Course Objectives This course serves as an introduction to remote sensing of the Earth and other planets. In this course, we will focus on remote sensing of the Earth using visible, infrared, and microwave radiation.

Familiarity with remote sensing data is an essential skill for the modern day geoscientist and environmental scientist. This course will teach you not only about the fundamentals of remote sensing, but also practical skills such as: 1) how to obtain remote sensing data, 2) how to process, correct and interpret images, 3) how to apply results to scientific problems, 4) how to report on your results, 5) how to use cutting edge software, and 6) how to represent your new skills on your CV.
Course Contents & Topics 1. Explanation of the fundamentals of remote sensing
2. Description of key remote sensing platforms, sensers and their purposes.
3. How to obtain data of sites on Earth and other planets.
4. How to process, analyse and correct remote sensing data.
5. How to interpret remote sensing data.
6. How to use software for remote sensing. You will be an expert in highly employable skills if you work hard.
7. How to integrate remote sensing data with Geographic Information Systems (GIS)
8. How to apply remote sensing to modern problems in geoscience, climate science, planetary science, and your science.
9. How to relate your work to bigger career goals and how to be a professional scientist.
10. How to integrate your new skills into your CV so that you have an advantage in the job market.
Course Learning Outcomes
On successful completion of this course, students should be able to:

CLO 1 demonstrate knowledge of how remotely sensed data are acquired
CLO 2 comprehend the basic techniques of image processing
CLO 3 handle remotely sensed data within geographic information systems
CLO 4 understand how remotely sensed be used for environmental assessment
CLO 5 evaluate and interpret remotely sensed data
CLO 6 present and discuss results
Pre-requisites
(and Co-requisites and
Impermissible combinations)
Pass in EASC2404 or EASC2406 or EASC2407 or ENVS2002
Course Status with Related Major/Minor /Professional Core 2018 Major in Earth System Science ( Disciplinary Elective )
2018 Major in Environmental Science ( Disciplinary Elective )
2018 Major in Geology (Intensive) ( Disciplinary Elective )
2018 Minor in Earth Sciences ( Disciplinary Elective )
2018 Minor in Environmental Science ( Disciplinary Elective )
2017 Major in Earth System Science ( Disciplinary Elective )
2017 Major in Environmental Science ( Disciplinary Elective )
2017 Minor in Earth Sciences ( Disciplinary Elective )
2017 Minor in Environmental Science ( Disciplinary Elective )
2016 Major in Earth System Science ( Disciplinary Elective )
2016 Major in Environmental Science ( Disciplinary Elective )
2016 Minor in Earth Sciences ( Disciplinary Elective )
2016 Minor in Environmental Science ( Disciplinary Elective )
2015 Major in Earth System Science ( Disciplinary Elective )
2015 Major in Environmental Science ( Disciplinary Elective )
2015 Minor in Earth Sciences ( Disciplinary Elective )
2015 Minor in Environmental Science ( Disciplinary Elective )
2014 Major in Earth System Science ( Disciplinary Elective )
2014 Major in Environmental Science ( Disciplinary Elective )
2014 Minor in Earth Sciences ( Disciplinary Elective )
2014 Minor in Environmental Science ( Disciplinary Elective )
Course to PLO Mapping 2018 Major in Earth System Science < PLO 1,2,3,4 >
2018 Major in Environmental Science < PLO 1,2,3,4 >
2018 Major in Geology (Intensive) < PLO 1,3 >
2017 Major in Earth System Science < PLO 1,2,3,4 >
2017 Major in Environmental Science < PLO 1,2,3,4 >
2016 Major in Earth System Science < PLO 1,2,3,4 >
2016 Major in Environmental Science < PLO 1,2,3,4 >
2015 Major in Earth System Science < PLO 1,2,3,4 >
2015 Major in Environmental Science < PLO 1,2,3,4 >
2014 Major in Earth System Science < PLO 1,2,3,4 >
2014 Major in Environmental Science < PLO 1,2,3,4 >
Offer in 2018 - 2019 Y        2nd sem    Examination No Exam     
Offer in 2019 - 2020 Y
Course Grade A+ to F
Grade Descriptors
A Demonstrate thorough mastery of extensive knowledge and skills required for attaining all the course learning outcomes. Show strong analytical and critical abilities and logical thinking, and ability to apply knowledge to a wide range of complex, familiar and unfamiliar situations. Critical use of data and results to draw appropriate and insightful conclusions. Apply highly effective organizational and presentational skills.
B Demonstrate substantial command of a broad range of knowledge and skills required for attaining at least most of the course learning outcomes. Show evidence of analytical and critical abilities and logical thinking, and ability to apply knowledge to familiar and some unfamiliar situations. Correct use of data and results to draw appropriate conclusions. Apply effective organizational and presentational skills.
C Demonstrate general but incomplete command of knowledge and skills required for attaining most of the course learning outcomes. Show evidence of some analytical and critical abilities and logical thinking, and ability to apply knowledge to most familiar situations. Mostly correct but some erroneous use of data and results to draw appropriate conclusions. Apply moderately effective organizational and presentational skills.
D Demonstrate partial but limited command of knowledge and skills required for attaining some of the course learning outcomes. Show evidence of some coherent and logical thinking, but with limited analytical and critical abilities, and limited ability to apply knowledge to solve problems. Limited ability to use data and results to draw appropriate conclusions. Apply limited or barely effective organizational and presentational skills.
Fail Demonstrate little or no evidence of command of knowledge and skills required for attaining the course learning outcomes. Lack of analytical and critical abilities, logical and coherent thinking. Show little or no ability to apply knowledge to solve problems. Misuse of data and results and/or unable to draw appropriate conclusions. Organization and presentational skills are minimally effective or ineffective.
Course Type Lecture with laboratory component course
Course Teaching
& Learning Activities
Activities Details No. of Hours
Laboratory 24
Lectures 24
Project work 12
Reading / Self study 100
Assessment Methods
and Weighting
Methods Details Weighting in final
course grade (%)
Assessment Methods
to CLO Mapping
Assignments Written assignments (weekly) 50 CLO 1,2,3,4,5,6
Project report Report on a topic of interest 10 CLO 1,2,3,4,5,6
Test Two in-class examination (20% each) 40 CLO 1,2,3,4,5,6
Required/recommended reading
and online materials
Remote Sensing: Principles and Applications (3rd edition)
Author(s) : Floyd F. Sabins
Publisher : Waveland Press
Edition : 3rd
Print ISBN : 9781577665076, 1577665074
eText ISBN : 9781478618171.0

If you sign up for the course, plan on buying the book. The e-version is inexpensive. You will be expected to know the material from the book.
Course Website http://www.clays.space
Additional Course Information You can learn more by visiting the website http://www.clays.space
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