1,905,165 rural lots pre-computed | New South Wales · Queensland · Victoria | Interactive intelligence maps across every rural lot | Soil, carbon, climate, water and vegetation per property | Regulatory obligations matched to your land | Know what you CAN do with your land | 1,905,165 rural lots pre-computed | New South Wales · Queensland · Victoria | Interactive intelligence maps across every rural lot | Soil, carbon, climate, water and vegetation per property | Regulatory obligations matched to your land | Know what you CAN do with your land |

Noona 2835

64 rural lots across 340,151 ha in Cobar Shire Council. Dominant: Grazing native vegetation.

64
Rural lots
340,151 ha
Rural land
Limited ag use
Typical capability (class 6)
13 tCO₂e/ha
Mean above-ground biomass

Where is Noona?

© NSW Government · Digital Earth Australia · CSIRO
Overlays © NSW Government · DEA · CSIRO TERN
Capability

Land & soil capability mix

Distribution of land-capability classes across the 64 rural lots in this suburb. Class 1 is prime cropping land; class 8 is conservation only.

Class 6 Limited ag use
Class 1–20%
Class 3–427%
Class 5–670%
Class 7–83%
NSW DPI Land & Soil Capability v4 — Class 1 is prime cropping land, Class 8 is conservation only. Polygon-intersect with each rural lot.
Climate

Rainfall, temperature, growing window

Long-term climate averages across the rural lots in this suburb.

Annual rainfall
329 mm
Semi-arid
Mean max temp
26.5 °C
annual average daily max
Extreme heat days
61 / year
Hot summers
Frost days
19 / year
Light frost
Aridity index
0.14 P/PET
Arid

Climate values are the average across rural lots in this area, drawn from Bureau of Meteorology 30-year normals.

Carbon

Carbon opportunity

Above-ground biomass — woody vegetation already on the land.

13 tCO₂e
tCO₂e per hectare
4.43 M tCO₂e
total estimated

Largely cleared — typical of cropping and improved pasture.

Satellite above-ground biomass, summarised per lot. Site-specific carbon pre-feasibility per property is available in the AgDSS app.
Vegetation

Cover profile

Digital Earth Australia Fractional Cover, from Sentinel-2 imagery.

Green cover23%
Forest cover17%
Mean across all rural lots in this suburb. Per-lot vegetation and biodiversity-incentive eligibility live in the AgDSS app.
Water

Surface water rights and groundwater

Water-sharing-plan coverage and bore proximity across the 64 rural lots.

Water access

Surface and groundwater

Water-sharing-plan coverage and bore proximity across rural lots.

100%
in a water sharing plan
0%
with groundwater access
Nearest registered bore
3.0
km away
A bore is within easy driving — typical of farming country.
Plan: Water Sharing Plan for the Intersecting Streams Unregulated River Water Sources 2024

Source: NSW DCCEEW Water Sharing Plans · NSW DCCEEW Groundwater Bores Register.

Risks & constraints

Hazard exposure across rural lots

Share of rural lots intersecting each hazard or planning constraint. Sorted highest first; zero-exposure items collapsed at the bottom.

Threatened ecological 59%
TEC mapping — clearing constraints apply.
Bushfire-prone 11%
No exposure
Flood-prone · Groundwater vulnerable · Heritage-listed · Salinity-prone · Landslide-prone · Mine subsidence · Acid-sulfate soils · Contamination history · Coastal environment · In mining title
Infrastructure

Access and grid connection

Mean distances from rural lots to roads, schools, hospitals, transmission and substations.

Connectivity

Roads, rail, schools

Classified road 10.3 km
Nearest school 101.8 km
Rail station 150.6 km
Energy

Grid + transmission

Substation 98.6 km · 132 kV
Transmission line 98.3 km · 132 kV
Transmission line is far — energy export would need on-site storage or a feeder upgrade.
Services

Health + water

Nearest hospital 100.6 km
Water treatment 97.8 km
Rural market
Low confidence

Land sale activity

Registered rural-zoned sales in the last 5 years.

per hectare (median)
0
sales (last 5 yrs)
Only 0 sales in 5 years — treat the rate as indicative only.
The median of sale price ÷ lot hectares across registered rural-zoned sales. Source: NSW Valuer-General.
Land use

Dominant rural land use

From the ABARES Catchment Scale Land Use classification.

Grazing native vegetation

The land-use category covering the largest share of rural lots in Noona. Per-lot land use, water access and grant eligibility live in the AgDSS app.

Market trends

Suburb-wide pulse

12-month price and volume movement, rent and yield. Reflects the broader suburb (rural and residential); the rural-only rate above is the rural benchmark.

Price change · 12 mo
0.0%
median price across all sales (residential + rural)
Price change · 3 mo
0.0%
Sales volume · 12 mo
+500.0%
year-on-year change in sale count
Median weekly rent
$250
Gross rental yield
0.30%
Days on market
11 days
1 active listings

Trend indicators reflect the broader suburb market (rural + residential). $/ha rural rate above is the rural-only benchmark.

Land character
Geology Lachlan Orogen Wine region Western Plains

About Noona 2835

What does the rural land in Noona 2835 look like?

Noona 2835 contains 64 rural lots covering 340,151 ha. Typical land capability is limited ag use (class 6). Dominant land use: Grazing native vegetation.

What carbon opportunity is in Noona's rural land?

Mean above-ground biomass carbon density across rural lots in Noona 2835 is 13 tCO₂e/ha, with an estimated 4.43 M tCO₂e across the suburb. Site-specific carbon stock for a particular property is available in the AgDSS app.

What's the rural land market like in Noona?

The median rural rate in Noona is —/ha based on only 0 sales in the last 5 years — treat as indicative only.

Where does this data come from?

Land capability comes from the NSW Land & Soil Capability mapping. Carbon stock is derived from the ESA Climate Change Initiative Biomass product. Vegetation cover is Digital Earth Australia Fractional Cover from Sentinel-2. Rural market activity is from registered NSW property sales on rural-zoned lots. Land use is the ABARES Catchment Scale Land Use category, and lot identity comes from the NSW Digital Cadastral Database.