GEOM30009-无代写
时间:2023-04-05
GEOM30009
Imaging the Environment
Kourosh Khoshelham
Aim
To introduce the principles and techniques of
image acquisition, interpretation and analysis
to obtain spatial information about the environment.
Or in short: how to use imagery as an earth observation tool.
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Imagery as an earth observation tool
Observing
the natural
environment
Bora Bora – French Polynesia,
September 12, 2012.
Image credit: SPOT
Imagery as an earth observation tool
Observing
the built
environment
Construction of
Palm Jumeirah,
Dubai,
December 2001 -
October 2003
Image credit:
DigitalGlobe
Imagery as an earth observation tool
Observing
historical sites
Angkor Wat - Cambodia,
April 12, 2004.
Image credit: DigitalGlobe
Imagery as an earth observation tool
Observing natural disasters
Moore,
Oklahoma,
before tornado
April 29, 2013
Image credit:
DigitalGlobe
Imagery as an earth observation tool
Observing natural disasters
Moore,
Oklahoma, after
F5 tornado
May 22, 2013
Image credit:
DigitalGlobe
Intended Learning Outcomes
Having completed this subject students will be able to:
ILO 1 - Describe imaging techniques which allow information to be
extracted from the image
ILO 2 - Design and create representations of spatial information
extracted from image data
ILO 3 - Analyse image data to monitor various environments including
natural, urban, indoor, and outdoor
ILO 4 - Interpret image data to inform management of various
infrastructures.
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Topics
▪ Introduction and history
▪ Image interpretation and electromagnetic radiation
▪ Human vision and principles of image formation
▪ Overview of imaging sensors
▪ Basics of image analysis
• Radiometric processing
• Segmentation and classification
• Image georeferencing
• Orthorectification
▪ Introduction to image measurement and photogrammetry
▪ Summary and Q/A
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Topics in short
▪ Image acquisition
▪ Image interpretation
▪ (Elementary) image analysis
▪ (Elementary) image measurement
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Image acquisition
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True colour False colour
400nm 500nm 700nm 900nm … 400nm 500nm 700nm 900nm …
Image interpretation
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Image analysis
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Water
Vegetation
Greenhouses
Urban
Beach
0 50 100 150 200 250
0
50
100
150
200
250
NIR pixel value
R
e
d
p
ix
e
l
v
a
lu
e


vegetation
soil
water
Image measurement
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Image measurement
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Learning mode
▪ Lectures
• Slides (LMS)
• Lecture recordings (LMS)
• Your own notes (download handouts from LMS)
▪ Interactive exercises on LMS
▪ Group assignments
• Assignment description
• Assignment material
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Important dates
Week 1-3 Image interpretation (15%) submission: 11:55 pm Friday of Week 3
Week 4-6 Assessing burn scars (15%) submission: 11:55 pm Friday of Week 6
Week 7-9 Information extraction (15%) submission: 11:55 pm Friday of Week 9
Week 10-12 Image georeferencing (15%) submission: 11:55 pm Friday of Week 12
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Visit the Subject Overview page on LMS for the schedule of lectures and tutorials.
Assignment mark = report mark×(individual PE total / average PE total)
PE: peer evaluation
Assessment
• Four group assignments (15% each) 60%
• One mid-semester IF-AT test 10%
• An end-of-semester exam 30%
Notes
- Late submission penalty: 10% of the assignment mark per working day.
- Turnitin check of report similarities.
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Communication with lecturer and tutors
For all questions please use the Discussion Board on LMS.
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Recommended readings
For a better understanding of fundamentals and theoretical concepts:
John R. Jensen (2007). Remote Sensing of the Environment: An Earth
Resource Perspective, 2nd Edition. Prentice Hall.
For a practical guide with hands-on exercises:
The ArcGIS Imagery Book
http://learn.arcgis.com/en/arcgis-imagery-book/
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© Copyright The University of Melbourne 2011
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