property location profile report - amazon s3 · 2018-04-13 · this report contains relevant...

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Property LOCATION Profile Report

This report contains relevant address-level and location-specific environmental metrics,

including elevation, slope, contours, surface water flow directions, neighbourhood

vegetation, bushland, climate-warming trends, demographics and housing. Such

baseline data and revealed insights are important for informed location decisions.

Property Address:

Street Number and Name: Vincent Rd

Suburb: Cranebrook Postcode: 2749

State: NSW

Country: Australia

Location: (longitude, latitude): 150.7234659, -33.7059431

Distance to Sydney City (e.g. Sydney Harbour Bridge): 47.9 km

Report Creator: https://www.PropertyLocation.com.au ([email protected])

Report Date: Friday, April 13, 2018

Report Version: V4.30


Overview: Location Imagery & Elevation Profiles

Links: This location in popular online mapping sites, e.g.

Google Maps Bing Maps OpenStreetMap

Site spot elevation: 46.5 m; Slope: 2.1 degrees (Gently Sloping, see Note 1 for slope

classification). Slope impacts site stability, surface water runoff and soil erosion.

Vincent Rd

42

43

44

45

46

47

48

49

50

51

52

53

42

43

44

45

46

47

48

49

50

51

52

53

Elev

atio

n pr

ofile

/ va

riatio

n (m

)

-200 -175 -150 -125 -100 -75 -50 -25 0 25 50 75 100 125 150 175 200

Distance to the property (m)

West-East North-South NorthWest-SouthEast SouthWest-NorthEast

https://maps.google.com/maps?ll=-33.7059431,150.7234659&q=-33.7059431,150.7234659&hl=en&t=m&z=15

https://www.bing.com/maps/?v=2&cp=-33.7059431~150.7234659&style=r&lvl=15&sp=Point.-33.7059431_150.7234659_%28Vincent Rd%29___

https://www.openstreetmap.org/?mlat=-33.7059431&mlon=150.7234659&zoom=15&layers=M

#target1


Average Elevation & Slope Over Various Land Sizes

45.5

46.0

46.5

47.0

47.5

Elev

atio

n (m

)

Over a small land size (15m x 15m)

Over a medium land size (25m x 25m)

Over a large land size (35m x 35m)

Elevation Variations: Max - Average (middle bar) - Min

0.00.51.01.52.02.53.03.54.0

Slop

e (d

egre

es)

Over a small land size (15m x 15m)

Over a medium land size (25m x 25m)

Over a large land size (35m x 35m)

Slope Variations: Max - Average (middle bar) - Min


Surface Water Flow Directions Related to Flash, Riverine, or

Coastal Flooding

43

44

45

46

47

48

49

50

51

52

53

54

43

44

45

46

47

48

49

50

51

52

53

54

Ele

vatio

n (m

)-200

-175

-150

-125

-100

-75

-50

-25

0

25

50

75

100

125

150

175

200

Y (S

outh

-Nor

th d

irect

ion,

m)

-200 -150 -100 -50 0 50 100 150 200

X (West-East direction, m)

43

44

45

46

47

48

49

50

51

52

53

54

Ele

vatio

n (m

)

-200

-175

-150

-125

-100

-75

-50

-25

0

25

50

75

100

125

150

175

200

Y (S

outh

-Nor

th d

irect

ion,

m)

-200 -175 -150 -125 -100 -75 -50 -25 0 25 50 75 100 125 150 175 200

X (West-East direction, m)


Nearby Bushland & Suburb Vegetation

The distance from this address to nearby large bushland (in green) is less than 100 m;

bushfires occasionally take place in nearby bushland during the hot summer.

Average percentage of vegetation (trees and grasses) for the whole Postcode 2749 is

62.6; this is ranked in the top 24.5 percent of all postcodes in the Sydney region.

0

10

20

30

40

50

60

70

80

Perc

enta

ge %

of v

eget

atio

n

0-50m 50-100m 100-150m 150-200mDistance range from the property

Neighbourhood vegetation cover


Climate-Warming Trend for the Location This part contains climate-warming projections for the location according to the new NASA

climate dataset NEX-GDDP (2015), which is widely used for climate change impact studies

and increasing public awareness / understanding of a warming climate. A rapidly warming

climate has significant adverse impact on the occurrence (frequency, intensity and duration) of

heatwaves, bushfires and droughts that are directly driven by high surface temperatures.

Projected warming trends from the well-known global climate model, CSIRO-MK.3.6.0 (by

CSIRO, Australia), under two greenhouse gas emissions scenarios are presented for the

property location. Average daily max and min temperatures by year and by December (the first

month of summer in Australia) are compared.

Overview: Projected Warming Trend for the Region

The INCREASE of average daily maximum surface temperature (by year, in degrees Celsius)

across Australia from 2000 (historical hindcast) to 2100 (projected), based on the CSIRO-

MK3.6.0 climate model under a moderate greenhouse gas (GHG) emissions scenario known

as Representative Concentration Pathway – RCP4.5. (Data source: NASA NEX-GDDP, 2015)


CSIRO-MK3.6.0: Average Daily Max Temperature (by year)

CSIRO-MK3.6.0: Average Daily Min Temperature (by year)

CSIRO-MK3.6.0 climate model is developed by CSIRO Marine and Atmospheric Research (Melbourne, Australia)

in collaboration with the Queensland Climate Change Centre of Excellence (Brisbane, Australia).

20

21

22

23

24

25

26

27

28

29

30

Aver

age

Daily

Max

imum

Sur

face

Tem

pera

ture

1950 1960 1970 1980 1990 2000 2010 2020 2030 2040 2050 2060 2070 2080 2090 2100

Year

Historical (Modelled, i.e. hindcast)Scenario RCP4.5 (GHG emissions stabilised, i.e. peak around 2040 then decline) & trend lineScenario RCP8.5 (GHG emissions kept increasing over time, business-as-usual) & trend line

Climate model: CSIRO-MK3.6.0

For location within ~12.5 km of longitude & latitude (150.625, -33.625), projected increase ofaverage daily Max surface temperature (by year) from 2006 to 2100:under Scenario RCP4.5: +3.4 °Cunder Scenario RCP8.5: +5.2 °C

9.5

10.0

10.5

11.0

11.5

12.0

12.5

13.0

13.5

14.0

14.5

15.0

15.5

16.0

16.5

17.0

Aver

age

Daily

Min

imum

Sur

face

Tem

pera

ture

1950 1960 1970 1980 1990 2000 2010 2020 2030 2040 2050 2060 2070 2080 2090 2100

Year



For location within ~12.5 km of longitude & latitude (150.625, -33.625), projected increase ofaverage daily Min surface temperature (by year) from 2006 to 2100:under Scenario RCP4.5: +2.4 °Cunder Scenario RCP8.5: +4.8 °C


CSIRO-MK3.6.0: Average Daily Max Temperature (by December)

CSIRO-MK3.6.0: Average Daily Min Temperature (by December)

CSIRO-MK3.6.0 climate model is developed by CSIRO Marine and Atmospheric Research (Melbourne, Australia)

in collaboration with the Queensland Climate Change Centre of Excellence (Brisbane, Australia).

23

24

25

26

27

28

29

30

31

32

33

34

35

36

Aver

age

Daily

Max

imum

Sur

face

Tem

pera

ture

1950 1960 1970 1980 1990 2000 2010 2020 2030 2040 2050 2060 2070 2080 2090 2100

Year



For location within ~12.5 km of longitude & latitude (150.625, -33.625), projected increase ofaverage daily Max surface temperature (by month, December) from 2006 to 2100:under Scenario RCP4.5: +5.3 °Cunder Scenario RCP8.5: +6.0 °C

12

13

14

15

16

17

18

19

20

21

22

23

Aver

age

Daily

Min

imum

Sur

face

Tem

pera

ture

1950 1960 1970 1980 1990 2000 2010 2020 2030 2040 2050 2060 2070 2080 2090 2100

Year



For location within ~12.5 km of longitude & latitude (150.625, -33.625), projected increase ofaverage daily Min surface temperature (by month, December) from 2006 to 2100:under Scenario RCP4.5: +4.3 °Cunder Scenario RCP8.5: +5.3 °C


Population & Housing - Postcode Profile

This part contains postcode-level data from Australian Bureau of Statistics (ABS) 2016

& 2011 Census of Population and Housing. Detailed postcode profiles and their

changes on socioeconomic background, including demographics, housing, income,

employment and education, are included. For some selected medians from the most

recent 2016 census, the ranking across ALL national postcodes is made.

Postcode 2749: Selected Medians and Averages

Median age of persons: 31 years (national median: 42)

Median total personal income ($/weekly): 654 (national rank: top 21.5 percentile)

Median total family income ($/weekly): 1,649 (national rank: top 23.6 percentile)

Median total household income ($/weekly): 1,547 (national rank: top 16.1 percentile)

Median mortgage repayment ($/monthly): 2,000 (national rank: top 18.5 percentile)

Median rent ($/weekly): 266 (national rank: top 32.8 percentile)

Average number of persons per bedroom: 1.1 (national average: 0.8)

Average household size (number of persons): 3.1 (national average: 2.5)

Report Creator: https://www.PropertyLocation.com.au ([email protected])

Report Date: Friday, April 13, 2018

Report Version: V4.30


Demographics - Age Groups 2016 vs 2011

8.28%14.58%

7.40%

7.52%15.79%

13.57%13.35%

11.09%

5.52%2.31%

0.58%

0 2 4 6 8 10 12 14 16 18

Percent %

0-4 years5-14 years

15-19 years

20-24 years25-34 years35-44 years45-54 years55-64 years

65-74 years75-84 years

85 years & over

Data source: ABS 2016 Census

Population: Age Groups(Postcode: 2749; Count of persons: 16,930)

8.14%16.31%

8.14%

8.34%14.27%

14.84%14.34%

9.43%

4.18%1.62%

0.39%

0 5 10 15 20

Percent %

0-4 years5-14 years

15-19 years

20-24 years25-34 years35-44 years45-54 years55-64 years

65-74 years75-84 years

85 years & over


Population: Age Groups(Postcode: 2749; Count of persons: 15,773)

2016

2011


Demographics - Country of Birth 2016 vs 2011

Australia (79.37%)England (3.44%)New Zealand (1.57%)Philippines (0.76%)Malta (0.71%)Others (14.14%)

Data source: ABS 2016 CensusOthers: born elsewhere & country of birth not stated

Population: Country of Birth (Postcode: 2749; Count of persons: 16,926)

Australia (80.78%)U.K., Channel Is. & Isle of Man (4.88%)New Zealand (1.48%)Malta (0.80%)Philippines (0.58%)Others (11.48%)

Data source: ABS 2011 CensusOthers: born elsewhere & country of birth not stated

Population: Country of Birth (Postcode: 2749; Count of persons: 15,772)

2016

2011


Housing - Dwelling Structure 2016 vs 2011

Separate house (89.80%)Semi-detached, row or terracehouse, townhouse etc. (9.54%)Not stated (0.42%)Other dwelling (0.17%)Flat, unit or apartment (0.08%)


Housing: Dwelling Structure (Postcode: 2749; Count of occupied private dwellings: 5,257)

Separate house (93.23%)Semi-detached, row or terracehouse, townhouse etc. (6.57%)Flat, unit or apartment (0.14%)Other dwelling (0.06%)Not stated (0.00%)


Housing: Dwelling Structure (Postcode: 2749; Count of occupied private dwellings: 4,961)

2016

2011


Housing - Tenure Type and Landlord Type 2016 vs 2011

Owned with a mortgage (49.29%)Rented (25.86%)Owned outright (22.42%)Tenure type not stated (1.98%)Other tenure type (0.46%)


Housing: Tenure Type and Landlord Type (Postcode: 2749; Count of occupied private dwellings: 5,257)

Owned with a mortgage (53.13%)Rented (24.31%)Owned outright (20.68%)Tenure type not stated (1.53%)Other tenure type (0.34%)


Housing: Tenure Type and Landlord Type (Postcode: 2749; Count of occupied private dwellings: 4,961)

2016

2011


Income - Total Family Income 2016 vs 2011

0.84%0.24%

0.95%0.80%

2.62%2.34%

4.96%4.48%

6.69%6.71%6.80%

7.27%16.24%

10.98%6.52%

4.16%7.43%

8.34%1.41%

0 5 10 15 20

Percent %

Negative/Nil income$1-$149

$150-$299$300-$399$400-$499$500-$649$650-$799$800-$999

$1,000-$1,249$1,250-$1,499$1,500-$1,749$1,750-$1,999$2,000-$2,499$2,500-$2,999$3,000-$3,499$3,500-$3,999

$4,000 or morePartial income stated

All incomes not stated


Total Family Income (weekly)(Postcode: 2749; Count of families in family households: 4,619)

0.48%0.87%0.85%

1.82%7.70%

6.69%6.07%

7.54%7.77%

15.38%14.11%

8.05%5.95%

2.30%3.26%

9.38%1.77%

0 2 4 6 8 10 12 14 16 18

Percent %


$200-$299$300-$399$400-$599$600-$799$800-$999

$1,000-$1,249$1,250-$1,499$1,500-$1,999$2,000-$2,499$2,500-$2,999$3,000-$3,499$3,500-$3,999

$4,000 or morePartial income stated

All incomes not stated


Total Family Income (weekly)(Postcode: 2749; Count of families in family households: 4,350)

2016

2011


Income - Total Personal Income 2016 vs 2011

9.24%4.12%

5.84%7.22%

6.84%6.30%

7.71%9.41%

11.28%7.57%

6.05%4.03%

5.13%1.75%

7.50%

0 2 4 6 8 10 12 14

Percent %


$150-$299$300-$399$400-$499$500-$649$650-$799$800-$999

$1,000-$1,249$1,250-$1,499$1,500-$1,749$1,750-$1,999$2,000-$2,999

$3,000 or morePersonal income not stated


Total Personal Income (weekly)(Postcode: 2749; Count of persons aged 15 years and over: 13,055)

8.31%7.69%

8.70%7.90%

11.00%12.29%

10.09%9.70%

6.92%7.17%

4.10%6.14%

0 2 4 6 8 10 12 14

Percent %


$200-$299$300-$399$400-$599$600-$799$800-$999

$1,000-$1,249$1,250-$1,499$1,500-$1,999

$2,000 or morePersonal income not stated


Total Personal Income (weekly)(Postcode: 2749; Count of persons aged 15 years and over: 11,913)

2016

2011


Employment - Industry of Employment 2016 vs 2011

0.81%0.28%

7.85%1.34%

12.05%3.59%

11.07%5.62%

6.20%1.20%

4.37%1.60%

4.36%3.20%

7.29%7.97%

10.21%1.67%

3.94%5.31%

0 2 4 6 8 10 12 14

Percent %

Agriculture, forestry & fishingMining

ManufacturingElectricity, gas, water & waste services

ConstructionWholesale trade

Retail tradeAccommodation & food servicesTransport, postal & warehousing

Information media & telecommunicationsFinancial & insurance services

Rental, hiring & real estate servicesProfessional, scientific & technical services

Administrative & support servicesPublic administration & safety

Education & trainingHealth care & social assistance

Arts & recreation servicesOther services

Inadequately described/Not stated


Industry of Employment(Postcode: 2749; Count of employed persons aged 15 years & over: 8,599)

0.73%0.21%

11.60%1.46%

9.95%4.81%

11.48%5.37%

6.96%1.30%

4.01%1.48%

4.29%2.96%

7.99%6.99%

10.09%1.28%

4.59%2.45%

0 2 4 6 8 10 12 14

Percent %

Agriculture, forestry & fishingMining

ManufacturingElectricity, gas, water & waste services

ConstructionWholesale trade

Retail tradeAccommodation & food servicesTransport, postal & warehousing

Information media & telecommunicationsFinancial & insurance services

Rental, hiring & real estate servicesProfessional, scientific & technical services

Administrative & support servicesPublic administration & safety

Education & trainingHealth care & social assistance

Arts & recreation servicesOther services



Industry of Employment(Postcode: 2749; Count of employed persons aged 15 years & over: 7,950)

2016

2011


Employment - Occupation 2016 vs 2011

10.75%

14.92%

15.71%

9.90%

17.84%

10.08%

9.72%

9.29%

1.67%

0 5 10 15 20

Percent %

Managers

Professionals

Technicians & trades workers

Community & personal service workers

Clerical & administrative workers

Sales workers

Machinery operators & drivers

Labourers



Occupation(Postcode: 2749; Count of employed persons aged 15 years & over: 8,599)

10.60%

13.37%

16.70%

10.08%

18.75%

10.09%

9.55%

9.18%

1.67%

0 5 10 15 20 25

Percent %

Managers

Professionals

Technicians & trades workers

Community & personal service workers

Clerical & administrative workers

Sales workers

Machinery operators & drivers

Labourers



Occupation(Postcode: 2749; Count of employed persons aged 15 years & over: 7,950)

2016

2011


Education - Level of Education 2016 vs 2011

Certificate Level (46.08%)Bachelor Degree Level (16.88%)Advanced Diploma & Diploma Level (16.11%)Level of education not stated (13.24%)Postgraduate Degree Level (4.32%)Graduate Diploma & Graduate Certificate Level(1.97%)Level of education inadequately described (1.41%)


Level of Education (Postcode: 2749; Count of persons aged 15 years and over with a qualification: 7,178)

Certificate Level (48.08%)Advanced Diploma & Diploma Level (14.94%)Bachelor Degree Level (14.94%)Level of education not stated (13.88%)Level of education inadequately described (3.80%)Postgraduate Degree Level (2.77%)Graduate Diploma & Graduate Certificate Level(1.59%)


Level of Education (Postcode: 2749; Count of persons aged 15 years and over with a qualification: 6,025)

2016

2011


Time Series Profiles

At LGA Level: Population & Age Groups

7.38%7.60%7.48%

13.67%14.09%

15.49%

6.65%7.33%

7.80%

7.20%7.45%

7.82%

15.45%14.74%14.97%

14.00%14.15%

14.43%

12.62%13.62%

14.00%

11.33%11.40%

9.85%

7.38%5.75%

4.53%

3.13%2.79%2.79%

1.18%1.06%

0.83%

0 2 4 6 8 10 12 14 16 18Population Percentage (%) of Various Age Groups

0-4 years

5-14 years

15-19 years

20-24 years

25-34 years

35-44 years

45-54 years

55-64 years

65-74 years

75-84 years

85 years & over

Data source: ABS 2016 Census, DataPacks 07/2017

LGA: Penrith (C), New South Wales, AustraliaPopulation Counts and Age Groups

172,141

178,465

196,066

165,000

170,000

175,000

180,000

185,000

190,000

195,000

200,000

Popu

latio

n Co

unts

2006 Census 2011 Census 2016 Census


At LGA Level: Occupied Private Dwellings

Local Government Area categories: Cities (C), Towns (T), Shires (S), Municipalities (M), Areas (A), Boroughs (B),

District Councils (DC), Aboriginal Councils (AC), Regional Councils (R / RegC), Rural Cities (RC). According to

ABS, data for the Censuses 2011 & 2006 were concorded to the LGA geographical boundaries of Census 2016.

80.55%81.00%

84.77%

12.04%10.92%

8.30%

6.56%7.44%

6.24%

0.47%0.47%0.64%

0.38%0.17%0.05%

0 20 40 60 80 100Percentage (%) of Various Dwelling Structures

Separate house

Semi-detached, rowor terrace house,

townhouse etc.

Flat, unit orapartment

Other dwelling

Not stated


LGA: Penrith (C), New South Wales, AustraliaOccupied Private Dwellings

58,913

61,501

67,066

56,000

58,000

60,000

62,000

64,000

66,000

68,000

70,000

Dwel

ling

Coun

ts


24.78%25.97%26.52%

38.77%42.37%

41.82%

28.83%26.00%25.94%

0.47%0.47%0.42%

7.15%5.19%5.30%

0 10 20 30 40 50Percentage (%) of Various Tenure Types

Owned outright

Owned with amortgage

Rented

Other tenure type

Not stated


At SA Level 2: Population & Age Groups

Statistical Area Level 2 (SA2) groups communities with similar social and economic characteristics. Within cities,

SA2s often represent single suburbs (as shown by SA2 names). Nationally, the total number of SA2s units (~2,300)

is close to that of postcodes (~2,600).

9.15%8.01%

8.70%

14.45%16.37%

18.45%

6.89%8.08%

9.00%

7.50%8.14%

6.83%

17.79%14.03%

15.85%

14.43%14.81%

15.28%

12.03%14.13%

13.50%

9.82%9.80%

7.42%

5.31%4.44%

3.31%

2.10%1.80%

1.35%

0.52%0.40%0.29%

0 5 10 15 20 25Population Percentage (%) of Various Age Groups

0-4 years

5-14 years

15-19 years

20-24 years

25-34 years

35-44 years

45-54 years

55-64 years

65-74 years

75-84 years

85 years & over


SA2: Castlereagh - Cranebrook, New South Wales, AustraliaPopulation Counts and Age Groups

15,666 17,372

23,720

0

5,000

10,000

15,000

20,000

25,000

30,000

Popu

latio

n Co

unts



At SA Level 2: Occupied Private Dwellings

90.84%93.39%94.62%

7.62%6.28%

5.20%

0.95%0.22%0.10%

0.21%0.11%0.08%

0.38%0.00%0.00%

0 20 40 60 80 100 120Percentage (%) of Various Dwelling Structures

Separate house

Semi-detached, rowor terrace house,

townhouse etc.

Flat, unit orapartment

Other dwelling

Not stated


SA2: Castlereagh - Cranebrook, New South Wales, AustraliaOccupied Private Dwellings

4,968 5,566

7,607

0

2,000

4,000

6,000

8,000

10,000

Dwel

ling

Coun

ts


19.32%21.98%

20.60%

47.10%49.87%

48.59%

27.12%23.38%

25.22%

0.39%0.32%0.32%

6.07%4.45%5.27%

0 10 20 30 40 50 60Percentage (%) of Various Tenure Types

Owned outright

Owned with amortgage

Rented

Other tenure type

Not stated


SEIFA 2016 across 5 Geographic Areas (SA1, SA2, Suburb,

Postcode and LGA) with Varying Population Sizes

The Socio-Economic Indexes for Areas (SEIFA) is a modelled measure by integrating and summarising a wide

range of social and economic attributes about the Australian population in an geographic area. SEIFA consists of

four specific indexes each on slightly different aspects of the socio-economic condition: (1) the Index of Relative

Socio-economic Disadvantage (IRSD); (2) the Index of Relative Socio-economic Advantage and Disadvantage

(IRSAD); (3) the Index of Economic Resources (IER); and (4) the Index of Education and Occupation (IEO). An area

with the highest decile (10, left y-axis) indicates the least disadvantaged, whereas an area with the lowest decile (1)

the most disadvantaged (implying an area has relatively more people with low income, no qualifications or low

skilled occupations). Corresponding SEIFA scores (right y-axis) are also shown; the mean for each index nationwide

is 1,000. For more explanations, please follow ABS website.

Socio-Economic Indexes for Areas (SEIFA), 2016

61,036

5 998

71,047

3

941

9209409609801,0001,0201,0401,0601,080

SEIF

A Sc

ore

0123456789

10

Inde

x De

cile

(Nat

ionw

ide)

Index ofRelative Socio-economic

Disadvantage


Advantage & Disadvantage

Index of Economic Resources

Index ofEducation & Occupation

SA1: ID 1145820; Usual Resident Population: 491

6 1,027 6 1,021

9 1,063

5

966

940

960

980

1,000

1,020

1,040

1,060

1,080

SEIF

A Sc

ore

0123456789

10

Inde

x De

cile

(Nat

ionw

ide)


Disadvantage





SA2: Castlereagh - Cranebrook; Usual Resident Population: 23,720

http://www.abs.gov.au/ausstats/[email protected]/Lookup/by%20Subject/2033.0.55.001~2016~Main%20Features~The%20Indexes~12


SEIFA 2016 (Continued)

6 1,010 6996

6

1,040

4

952

940

960

980

1,000

1,020

1,040

1,060

SEIF

A Sc

ore

0123456789

10

Inde

x De

cile

(Nat

ionw

ide)


Disadvantage





Suburb: Cranebrook; Usual Resident Population: 15,759

6 1,013 6999

81,046

4

953

940

960

980

1,000

1,020

1,040

1,060

SEIF

A Sc

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Postcode: 2749; Usual Resident Population: 16,930

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LGA: Penrith (C); Usual Resident Population: 196,066

Data source: ABS 2016 Census, SEIFA 03/2018


Notes1. Slope Classes: Nearly Level (slope <3%, or <1.72 degrees); Gently Sloping (3-8%, or 1.72-4.57 degrees);

Moderately Sloping (8-15%, or 4.57-8.53 degrees); Strongly Sloping (15-25%, or 8.53-14.04 degrees); Steep (25-

35%, or 14.04-19.29 degrees); Very Steep (>35%, or >19.29 degrees).

Acknowledgements of Data Sources

This report contains analyses, maps and charts based on a range of data sources from Australian and international

government agencies:

1. Elevation - Geoscience Australia, Digital Elevation Models from ELVIS Elevation Information System. DEM at 5m

resolution was analysed.

2. Vegetation - Bushland classified by BigData Earth Pty Ltd using new Landsat-8 or Sentinel-2 imagery.

3. Population and Housing - Australian Bureau of Statistics (ABS) 2016 & 2011 Census, DataPacks.

4. Climate - Climate scenarios used were from the NEX-GDDP dataset, prepared by the Climate Analytics Group

and NASA Ames Research Center using the NASA Earth Exchange, and distributed by the NASA Center for

Climate Simulation (NCCS).

5. Aerial Imagery - NSW government Spatial Services, ©Department Finance, Services & Innovation [2018].

6. Satellite Imagery - Sentinel-2 imagery from the European Union Copernicus Sentinel Data and Service

Information. The report contains modified Copernicus Sentinel data [2018].

7. Satellite Imagery - Landsat-8 imagery from the NASA and USGS Landsat Program.

Disclaimer

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from BigData Earth are subject to this disclaimer. The data and information contained in this report has been

analysed and presented with all due care, however, BigData Earth does not warrant or represent that the data and

information contained herein is free from errors or omissions, or that it is exhaustive. This report is distributed AS IS,

with no warranties of any kind, whether expressed or implied, including without limitation, the implied warranties of

merchantability, fitness for a particular purpose, and non-infringement. No oral or written information, advices or

services given by BigData Earth shall create a warranty or in any way increase the scope of any warranty provided

herein.

This report is based on geospatial big data analytics and image processing, and is not a site assessment with

physical inspections. This report should not be used to replace any ground-based assessment by surveying

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