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1 ENV202/502 – Introductory Remote Sensing Wk 5 Dr Karen Joyce School of Environmental and Life Sciences Bldg Purple 12.3.09 1 Lecture 5 – How is Imagery Analysed? ENV202/502 – Introductory Remote Sensing Wk 5 Your Job – Your Turn to Scoopit Head to scoop.it (your account) and create a new topic about a remote sensing application of your choice Here’s some options if you are unsure: burnt area mapping, coral reefs, mangroves, seagrasses, volcanoes, earthquakes, water quality, mining, agriculture, disaster management… Curate a minimum of five scoops with an ‘insight’ Post your scoops to http://padlet.com/wall/env202502-scoop (use your name and topic in the header) 2 ENV202/502 – Introductory Remote Sensing Wk 5 4 Image Interpretation Systematic approach from general to specific interpretation Interpretation involves both: Detection of a feature Identification of a feature Automated photo and image interpretation now uses this technique Source: S.Phinn ENV202/502 – Introductory Remote Sensing Wk 5 5 Dichotomous Keys ENV202/502 – Introductory Remote Sensing Wk 5 6 Interpretation and Class Aggregation ENV202/502 – Introductory Remote Sensing Wk 5 7 Classification Guidelines (from USGS LU/LC mapping) Overall accuracy >= 85% Individual category accuracy should be about equal Repeatable results between interpreter and over time Applicable over extensive areas Suitable for use with data obtained at different times of the year Categories should be divisible into more detailed sub categories Aggregation of categories must be possible Comparison with future date should be possible Multiple uses of a category should be recognised where possible

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ENV202/502 – Introductory Remote Sensing Wk 5

Dr Karen Joyce

School of Environmental and Life Sciences

Bldg Purple 12.3.091

Lecture 5 – How is Imagery Analysed?

ENV202/502 – Introductory Remote Sensing Wk 5

Your Job – Your Turn to Scoopit

• Head to scoop.it (your account) and create a new topic about a remote sensing application of your choice

• Here’s some options if you are unsure: burnt area mapping, coral reefs, mangroves, seagrasses, volcanoes, earthquakes, water

quality, mining, agriculture, disaster management…

• Curate a minimum of five scoops with an ‘insight’

• Post your scoops to http://padlet.com/wall/env202502-scoop (use your name and topic in the header)

2

ENV202/502 – Introductory Remote Sensing Wk 54

Image Interpretation

• Systematic approach from general to specific interpretation

• Interpretation involves both:

– Detection of a feature

– Identification of a feature

• Automated photo and image interpretation now uses this technique

Source: S.Phinn ENV202/502 – Introductory Remote Sensing Wk 55

Dichotomous Keys

ENV202/502 – Introductory Remote Sensing Wk 56

Interpretation and Class Aggregation

ENV202/502 – Introductory Remote Sensing Wk 57

Classification Guidelines (from USGS LU/LC

mapping)

• Overall accuracy >= 85%

• Individual category accuracy should be about equal

• Repeatable results between interpreter and over time

• Applicable over extensive areas

• Suitable for use with data obtained at different times of the year

• Categories should be divisible into more detailed sub categories

• Aggregation of categories must be possible

• Comparison with future date should be possible

• Multiple uses of a category should be recognised where possible

2

ENV202/502 – Introductory Remote Sensing Wk 58

Minimum Mapping Units

• Smallest size entity to be mapped as a discrete feature

• Small MMU = high detail

• Large MMU = low detail

• Small MMU can be a step in the hierarchy of a large

MMU – e.g. river, lake, stream, creek, can be grouped together to the larger MMU of water body

ENV202/502 – Introductory Remote Sensing Wk 59

Interpretation CuesCue Terminology Example

Tone /

Colour

Dark, light, bright,

dull

Dark Blue (water)

Texture Smooth, rough Rough (urban area); Smooth (grass) –

function of scale

Shape Rectangular,

eliptical, regular,

irregular

Rectangular (crops)

Size Relative or

absolute

Small / large or 200x100m

Pattern Regular, random,

gridlike

Repeating linear rows (vineyard)

Shadow Presence,

absence

Long shadows observed to the SW of the

feature (can indicate height of object, time of

day, southern hemisphere). Influences tone

and texture

Site /

Association

Description of

spatial

relationships

Large carpark beside large building (may

indicate shopping centre rather than factory)

ENV202/502 – Introductory Remote Sensing Wk 510

Analysing Imagery – Your Job

• Identify as many classes as you can in your image

• Identify their interpretation cues

• Identify the most important or unique cue /

cue combo

• Develop a classification

key including categories

and sub categories -http://mindmapfree.com/

ENV202/502 – Introductory Remote Sensing Wk 5

Classification Example

11

Worldview 2 Image

Non Water Water

LandInter-tidal

Trees Grasses Artificial Surfaces

Housing Commercial /

Industrial

Roads Jetty WaterInter-tidal Trees Grasses

Dark or bright?

Small, urban pattern

Assoc. trees,

grass

Not greenGreenCircular, rough,

shadows

Irregular shape, smooth

Large, Assoc. main roads

Long, thin

Surrounded by water

Btn land and water

ENV202/502 – Introductory Remote Sensing Wk 5

Classification Example - Mindmapping

12

http://mindmapfree.com/

1

Studying overseas with CDU

Charles Darwin University| March 2014CRICOS Provider No. 00300K (NT) | CRICOS Provider No. 03286A (NSW)

• Funds a range of mobility programs for inbound (non-Australian) and outbound (Australian) students

• Department of Foreign Affairs and Trade

• Department of Education and Training

Australian Government

Charles Darwin University| March 2014CRICOS Provider No. 00300K (NT) | CRICOS Provider No. 03286A (NSW)

New Colombo Plan (NCP)

Program Destination Eligibility Study Options Grant Value

NCP Scholarship

Program

38 locations

Indo-Pacific

- U/G

- 18-28 years

- 70% graded av or equiv

Up to 1 full

academic year

TBA

NCP Mobility

Program

38 locations

Indo-Pacific

- U/G

- 18-28 years (90%)

- >28 years (10%)

Short-term or

semester

TBA

Left: 2015 Scholarship recipient Jared Ivory with Minister BishopBelow: 2015 SoLaw mobility students visit Borobudur Temple, Central Java

Charles Darwin University| March 2014CRICOS Provider No. 00300K (NT) | CRICOS Provider No. 03286A (NSW)

Scholarships

• One scholarship recipient in 2015

• School of Law student Jared Ivory

• Will study 1 year of law at Universitas Gadjah Mada, Yogyakarta

• To commence in September

Mobility

• 1 grant in 2014 (T1) – School of Law, Indonesia

• 3 grants in 2014 (T2)

1 x School of Law, Indonesia

1 x School of Education, Hong Kong (T2)

1 x SCAH, Indonesia as part of the RUILI consortia

• 3 grants in 2015

1 x School of Law, China

1 x combined - School of Law and School of Environment, Indonesia

1 x School of Eng & IT, India

• Total NCP grants > $300,000

New Colombo Plan – 2014/2015

Charles Darwin University| March 2014CRICOS Provider No. 00300K (NT) | CRICOS Provider No. 03286A (NSW)

Summary of 2016 Endeavour Mobility Programs

Program Destination Eligibility Study Options Grant Value

International

Student Exchange

Program Incl

ECKSEP

TBA UG & PG 1 – 2 Semesters

full-time

TBA

Study Overseas

Short-term

Mobility Program

TBA - U/G & P/G Short-term, up to 6

months

TBA

VET Outbound

Mobility Program

TBA - VET Short-term, up to 6

months

TBA

Asia Postgraduate

Program (New)

TBA - P/G Short-term or

semester

TBA

Asia VET Program

(New)

TBA - VET Short-term, up to 6

months

TBA

Charles Darwin University| March 2014CRICOS Provider No. 00300K (NT) | CRICOS Provider No. 03286A (NSW)

• CDU has exchange partnerships with universities in Asia, Europe, Scandinavia and North America

• As a CDU exchange student you pay your normal CDU tuition fees and remain enrolled as a CDU student

• CDU has 9 exchange scholarships worth A$5000 for study at our partner universities in Canada and the USA.

• You can study at other partner universities in Asia, Europe and Scandinavia however at this stage there are no Endeavour scholarships to these destinations

• Funding is also available through OS – HELP (loan)

Exchange

2

Charles Darwin University| March 2014CRICOS Provider No. 00300K (NT) | CRICOS Provider No. 03286A (NSW)

• If you want to go to a university that is not a partner of CDU – no problems - you would apply under the study abroad program.

• As a study abroad student you pay fees to the host university and do not remain enrolled at CDU for the duration of your studies abroad.

• Funding is available through OS – HELP (loan)

Study Abroad

Charles Darwin University| March 2014CRICOS Provider No. 00300K (NT) | CRICOS Provider No. 03286A (NSW)

• Exchange and study abroad applications for fall semester (August) – 30 April.

• Endeavour and NCP mobility applications – see coordinating school/course coordinator

• 2016 NCP scholarship nominations - 31 July

Key deadlines

Charles Darwin University| March 2014CRICOS Provider No. 00300K (NT) | CRICOS Provider No. 03286A (NSW)

Questions?

Global Mobility Websitewww.cdu.edu.au/global-mobility

Charles Darwin University| March 2014CRICOS Provider No. 00300K (NT) | CRICOS Provider No. 03286A (NSW)

NCP Scholarships and general mobility programs

Sally Hodgetts: [email protected]

NCP and general mobility programs

Megan Whitty: [email protected]

Student Exchange and Study Abroad

Brett Smith: [email protected]

OIS staff – Contact details

Charles Darwin University| March 2014CRICOS Provider No. 00300K (NT) | CRICOS Provider No. 03286A (NSW)

Thank you!

31/03/2015

1

4 DIVISIONS

4 DIVISIONS

• Bridge the gap between NASA Earth Science

and society

• Enabling the next generation to accelerate

innovative applications in technology,

resource management, policy development,

and decision making.

31/03/2015

2

• 10 Week program

• 15 locations

• Each location has its own project topic/s

• Individual topics are dictated by the project

partners.

• At the end of the 10 week program each group gives

a presentation outlining the research results and

benefits achieved for the project partners.

UGA Fall 2014

1. Colombia Ecological Forecasting: Utilizing NASA

Earth Observations to Enhance the Conservation

Efforts of Colombia’s Most Endangered Primate, the

Cotton- top Tamarin.

2. Georgia Inland Water Quality: Developing a

Cyanobacteria Detection Tool for Georgia Inland

Waters Using NASA Landsat-8 OLI Data for Water

Quality Protection and Restoration

Colombia Ecological Forecasting

• Colombia Ecological Forecasting team partnered

with Proyecto Titi and Disneys Animal Kingdom

(Orlando, FL).

• The team used NASA satellite data to aid in

working towards the partners goals of increasing

habitat suitability for the endangered primate:

The Cotton-Top Tamarin.

Colombia Ecological Forecasting

Satellites Used

Colombia Ecological Forecasting

31/03/2015

3

Results

Outcome

• Data derived from NASA imagery utilized in

the CTSFM identified practical areas to

implement reforestation and conservation

efforts

• Results will assist project partners in

purchasing and protecting land with the

most potential for forest connectivity