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1

ENV202/502 – Introductory Remote Sensing Wk 1

Dr Ian Leiper

School of Environmental and Life Sciences

Bldg Purple 12.2.27 1

Lecture 1 – Introduction to Remote Sensing

ENV202/502 – Introductory Remote Sensing Wk 1

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Lecture Outline

• Introductions

• Unit admin

– Learning outcomes

– Unit outline

– Practicals

– Assessment

– Learnline

• The what, why, and how of remote sensing

• Common applications

• History of remote sensing

ENV202/502 – Introductory Remote Sensing Wk 1

Learning Outcomes

1. Explain the interaction of electromagnetic radiation with atmospheric, oceanic, and terrestrial features;

2. Identify a range of commercial airborne and satellite imaging sensor systems;

3. Critically examine the trade offs between spatial, spectral, radiometric and temporal resolution of remotely sensed data;

4. Apply the underlying principals of interpreting image data;

5. Perform basic operations associated with digital image processing; and

6. Evaluate applications of remotely sensed data for monitoring and managing marine and terrestrial resources.

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Unit Outline

• Introduction to remote sensing

• Understanding electromagnetic radiation interactions

• Radiation transfer theory

• Image characteristics and dimensions

• Aerial photography and image analysis

• Digital image processing (3 weeks)

• Applications and operational projects

• Effective ways to communicate information from remotely sensed products

• Unit summary

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Resources

• Jensen, J. R. (2014). Remote sensing of the

environment: An earth resource perspective (2nd,

Pearson new international ed.). Harlow, Essex:

Pearson, c2014.

• Lillesand, T. M., Chipman, J. W., & Kiefer, R. W.

(2008). Remote sensing and image interpretation (6th

ed.). Hoboken, NJ: John Wiley & Sons.

• Remote Sensing Computer Aided Learning

• Remote Sensing Virtual Lab

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Practicals

• All held in Purple 12.1.17

• Designed to expand on lecture materials and provide

‘hands on’ learning

• Software in use will be ENVI

• All practicals are assessed

• After hours swipe access to 12.1.28

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Assessment

• All assessment items are compulsory

• Due by 11.59pm on the given date

• To be submitted via Learnline

– No cover letter required

• Advise lecturer well in advance if you are having

difficulties

• Penalty of 5% per day for late submissions

ENV202/502 – Introductory Remote Sensing Wk 1 9

Assessment Items

• Practical exercises

– 8 practical exercises

– 3 assessment items

– Short / paragraph answers

– 20% ea

• Application project

– Select an environmental problem of interest and design

a remote sensing mapping and monitoring solution

– 3000 words for ENV202, 5000 words for ENV502

– Grading criteria different for ENV202 and ENV502

– 40%

ENV202/502 – Introductory Remote Sensing Wk 1

Related Units

• ENV101 – Earth Systems

• ENV203 – Environmental survey and monitoring skills

• ENV208/508 – Applied Geographic Information Systems

• ENV318/518 – Advanced Spatial Analysis

• ENV306/506 – Environmental monitoring and modelling

• SID300 – Professional practice in applied science

• SID301 – Research Project

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Learnline Demo

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What is Remote Sensing?

• The science and art of obtaining information about an

object, area, or phenomenon, without being in direct

contact with the feature under investigation…

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ENV202/502 – Introductory Remote Sensing Wk 1

Your Job…

• Make a list of the benefits of remote sensing

• Brainstorm a range of different possible applications

and link them to the different benefits. For example:

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Benefit Application

Large area coverage

Continental scale

vegetation mapping for

Kyoto protocol compliance

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Weather Forecasting

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Sea Surface Temperature

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Ocean Colour and Vegetative Cover

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Coral Cover

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Dust – SW Queensland

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Vegetation Monitoring

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Digital Elevation / Bathymetry Models

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Volcanic Eruptions – Gas Emissions

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Volcanic Eruptions – Hunga Tonga

500m

25 Mar 09 Photos: NZAID 14 Nov 06

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Volcano Monitoring – Temperature

3 Sep 07 26 Sep 07 28 Oct 07 22 Nov 07 24 Dec 07 31 Dec 07 26 Feb 08 5 Apr 08 16 May 08 20 Aug 08 5 Sep 08

0

5

10

15

20

25

30

35

40

45

Jul-07 Sep-07 Nov-07 Jan-08 Mar-08 May-08 Jul-08 Sep-08

Sample Date

Tem

pera

ture

(C

)o

ASTER derivedIn-situ measured

Mt RuapehuCrater Lake

ASTER Thermal Imagery of Mt

Ruapehu

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25 Mar 07

9 Feb 02

Volcano Monitoring – Lahar Mapping

ASTER Imagery of Mt

Ruapehu

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Earthquakes and Deformations

Source: S.Samsonov

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Minerals and Geology

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Counting Landslides Number of landslides

1 - 2

3 - 5

6 - 10

11 - 19

20 - 31

BEFORE AFTER

ENV202/502 – Introductory Remote Sensing Wk 1 34 © GeoEye 2007

1km

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Other Applications

• National Security

• Landcover / land use

• Infrastructure mapping

• Oil and gas

• Telecommunications

• Online mapping

• Personal navigation

• Construction, survey

• Agriculture

• Forestry

• Water resources

• Insurance

• Disaster relief

• Environmental monitoring

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History of Remote Sensing

• Birth of photography (1839)

• Photography from Balloons

(1850-1900)

• Photography from aircraft

(1909)

• First World War (1914 –

1918)

– Aerial scouting and

reconnaissance

• The discipline of

photogrammetry was

established (1920’s)

US Army Balloon Corps, early 1860s

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History of Remote Sensing

• Radar developed (1930’s)

• Second World War (1939 – 45) – Colour infra-red film used to detect

camouflage

• The Cold War (1945 -91)

• Colour infra-red photography used to detect crop disease

• The term ‘remote sensing’ was first used (early 1960’s)

• Space Race - Rockets & Satellites (60’s and 70’s)

• Commercial (i.e. civilian) Satellites (July 72 to date)

• Digital image processing

Boston, 1860 - taken from balloon

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History of Remote Sensing

• Landsat 5 (1984) 29 years of

operation - original intended

mission only 3yrs!

• Landsat 7 (1999) SLC failure 2003

• Landsat 8 (2013 - )

• High spatial resolution satellite

imagery IKONOS (1999) &

Quickbird (2001)

• First satellite hyper-spectral sensor

EO-1 (2001)

• LiDAR

• Google Earth brings remote

sensing to everyone with internet

access (2005)

• Landsat archive freely available

(2009)

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How Does Remote Sensing Work?

• Any object with a temperature >

0o Kelvin emits electromagnetic

radiation (EMR)

• Sunlight is a form of EMR

• Thermal energy (heat) is a form

of EMR

• EMR from the sun is

– Reflected

– Transmitted

– Absorbed

• Reflected and/or emitted energy

is recorded by a sensor

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How Does Remote Sensing Work?

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EMR Interactions

• Types of interactions observed in images

are controlled by:

– Physical, Chemical and Biological

characteristics of object; and

– Type of sensor

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From Images to Information

• Understanding EMR interactions with features of

interest allows qualitative and quantitative analysis of

images

• Maps are created by developing relationships

between EMR (as recorded in an image) and

features of interest (as measured on the ground)

Water

Grasses etc

Dense Veg

Artificial Surfaces

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The Remote Sensing Process

Source: Lillesand, Kiefer & Chipman (2008)

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Satellites

In Google Earth just go to "Add"->"Network Link" and

paste link into the "Link:"

field. http://www.maitec.com.au/

coolstuff/my-satellites-

sensors.kml

ENV202/502 – Introductory Remote Sensing Wk 1 46

Why Use Remote Sensing?

• Large area coverage

• Synoptic view, continuous spatial coverage

• Information about hard to access areas

• Use sensors to ‘see’ in wavelengths not visible to human eye

• Make quantitative measurements about biogeophysical properties of earth’s surface

• Digital record of features and processes

• Repeat coverage

• Cost (field vs. image)

ENV202/502 – Introductory Remote Sensing Wk 1 47

Who uses remote sensing?

• Military

• Many Government Departments

• Commonwealth Agencies (CSIRO, ERISS, etc)

• City Councils

• NGOs

• United Nations

• Private industry (SKM, EWL, ERA etc)

• Universities and research agencies

ENV202/502 – Introductory Remote Sensing Wk 1 48

Coming Up

• No prac this week

• Week 2 lecture: Understanding electromagnetic

radiation (EMR) interactions

• Week 2 – first practical

Source: C.Roelfsema/S.Phinn

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