Case study · The Channon, New South Wales

What the terrain data knows about Zaytuna Farm

We traced 40 hectares of the world's best-known permaculture demonstration site and read it from satellite and airborne data. No site visit, no inside knowledge, no connection to the farm.

Then we did it twice more, on worse elevation data. This page is the comparison: the same boundary, the same code, read at 30 m, 5 m and 1 m, so you can see what the data quality is worth. The complete read of the farm is the full Zaytuna dossier at 1 m.


Start with the earthworks

Zaytuna has been shaped deliberately for decades, with dams, swales and contour terracing. None of that is in the data we start from.

At 1 metre we can spot them. The dams read as flat pads with a hard rim where the wall drops away. The contour work on the western slope reads as a series of benches. At 5 metres they are faint. At 30 metres the hillside is one smooth shape and the earthworks do not exist.

There is no pattern-matching here. We measure ground, and this ground has been worked.

Close view of the farm's working core, from 30m elevation data
30mnothing
Close view of the farm's working core, from 5m elevation data
5mfaint terracing
Close view of the farm's working core, from 1m elevation data
1mdams and benches

The same corner of the farm at each resolution. Click any image to open it full size.


The verdict it reaches

Five scores, one for each question a buyer asks. The number is an absolute reading against fixed bands, so it means the same thing on any parcel; where one stands out against every parcel we have read, the assessment says where it stands.

Climate81.5Excellent
Water63.4Workable
Sun & Growing62.5Workable
Fire & Flood Safety56.1Watch
Terrain & Building43.5Strategy-led

Climate is the measured strength here: 82/100 places this property in the top 6% of all parcels read, carried by 365 frost-free days and 3,699 growing degree days. More surprising is what sits above the boundary. Some 14,605 hectares drain through these 40, roughly 365 times the parcel's own area, and the site sits in the lower third of a basin with 833 m of relief. Water is nonetheless the binding constraint: reference evapotranspiration runs 1,348 mm against 1,062 mm of rain, a 286 mm shortfall spread over seven consecutive deficit months from July. Where should storage sit to hold that inflow before it leaves?

Opening of the written assessment, generated from the computed data


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Now the comparison

The computed numbers rest on one thing: how good the elevation model is. And to highlight what that means in action, we ran the same boundary three times, same code, same day, changing only the input.

Measured inside the boundary · 39.83 ha traced
What was measured30 m5 m1 m
Largest unbroken patch under 7°17.33 ha5.01 ha2.02 ha
Steepest point on the gentlest way in1.9%14.0%14.9%
Ground under 12°, still workable38.72 ha28.89 ha23.83 ha
Reads high on the wetness index26.4%8.1%7.2%
Upstream catchment14,771 ha14,604 ha14,605 ha

At 30 metres the model says 17.3 hectares of flat building ground on a 1.9% approach. At 1 metre it says 2.0 hectares and 14.9%. Above roughly 12% you are paying for an engineered driveway rather than a track.

It is not blur. A 30 metre cell covers 900 square metres, so a gully four metres deep and ten across cannot fit inside one. The model merges separate flat areas across ravines it cannot see. That is where 17.3 hectares comes from.

Coarse elevation does not make land look uncertain. It makes it look better.

Slope map of the parcel, from 30m elevation data
30m17.33 ha flat
Slope map of the parcel, from 5m elevation data
5m5.01 ha flat
Slope map of the parcel, from 1m elevation data
1m2.02 ha flat

Green is gentle, red is steep. The figure is the largest single unbroken patch under seven degrees.


Where the water sits

At 30 metres a quarter of the farm reads wet, as one soft blue wash. At 1 metre it resolves into channels with dry ground between them. Those are two different design problems: one says rethink the site, the other says here is where the swale goes.

The 1 metre plate also draws the earthworks themselves, in three grades of certainty. Filled outlines are water the national survey classified as water — six of them here. Dashed outlines are closed hollows we measured in the raw elevation that would hold water whether or not they hold any today; four, the deepest 4.09 metres. Dotted lines are cuts running along the slope. From elevation alone those could be swales, terraces or farm tracks, so the map says all three rather than guessing — three of them, at 1, 14 and 31 degrees off the contour. At 5 metres none of the thirteen appear. At 30 metres, none.

Four more hollows on this parcel are the creek itself, with 121 to 181 hectares draining through them. They are drawn as watercourse, not as storage.

This is a topographic wetness index: a slope-and-flow calculation from the terrain, with no soil moisture measurement and no rainfall in it.

Wetness map of the parcel, from 30m elevation data
30m26.4% wet
Wetness map of the parcel, from 5m elevation data
5m8.1% wet
Wetness map of the parcel, from 1m elevation data
1m7.2% wet

The catchment, and the number that holds still

Roughly 146 square kilometres of hill country drains through this farm. The parcel is about 0.3% of its own watershed. Water arrives here whether anyone plans for it or not.

This is the one measurement all three elevation models agree on, within about one percent. A watershed divide is a ridgeline, and a ridgeline is still a ridgeline at 30 metres.

Coarse elevation is fine for how much water arrives. It is unreliable for where you can put a house, a track, or a garden.

Upstream catchment basin, from 30m elevation data
30m14,771 ha
Upstream catchment basin, from 5m elevation data
5m14,604 ha
Upstream catchment basin, from 1m elevation data
1m14,605 ha

The whole basin above the farm, delineated at each of the three resolutions.

Catchment at parcel scale, from 30m elevation data
30m
Catchment at parcel scale, from 5m elevation data
5m
Catchment at parcel scale, from 1m elevation data
1m

The same basin zoomed to the property, showing how the drainage arrives.

Where upslope water crosses the boundary, from 30m elevation data
30m
Where upslope water crosses the boundary, from 5m elevation data
5m
Where upslope water crosses the boundary, from 1m elevation data
1m

Where upslope water crosses the boundary, and how much land feeds each entry.


Sun, aspect and shelter

Aspect is which way each slope faces, and it decides what you can grow where. In the southern hemisphere the productive arc runs west through north through east, and 43.3% of this parcel falls inside it.

Coarse data gives the farm a handful of broad faces. At 1 metre every terrace and gully carries its own orientation, which is the difference between "this hillside faces north" and knowing which bench to plant.

Aspect map, from 30m elevation data
30m
Aspect map, from 5m elevation data
5m
Aspect map, from 1m elevation data
1m

Which way each slope faces, and so how much sun it receives.

Sector analysis: sun arc, prevailing wind, fire approach, from 30m elevation data
30m
Sector analysis: sun arc, prevailing wind, fire approach, from 5m elevation data
5m
Sector analysis: sun arc, prevailing wind, fire approach, from 1m elevation data
1m

The sector plate: summer and winter sun arcs, the SSE prevailing wind at 3.9 m/s, and the fire approach. It reads the terrain for shading and horizon, so it sharpens with the elevation model even though the sun and wind data behind it never change.


And every remaining layer

Most people read landform from hillshade. Contours are the first thing an earthworks contractor asks for, and altitude banding is how you find the gravity-fed line for a tank. All of them are drawn from the elevation model, so all of them move with it.

Hillshade relief render, from 30m elevation data
30m
Hillshade relief render, from 5m elevation data
5m
Hillshade relief render, from 1m elevation data
1m
Contours over satellite imagery, from 30m elevation data
30m
Contours over satellite imagery, from 5m elevation data
5m
Contours over satellite imagery, from 1m elevation data
1m
Altitude banding, from 30m elevation data
30m
Altitude banding, from 5m elevation data
5m
Altitude banding, from 1m elevation data
1m
Contours with water traces, from 30m elevation data
30m
Contours with water traces, from 5m elevation data
5m
Contours with water traces, from 1m elevation data
1m
Satellite view with boundary and contours, from 30m elevation data
30m
Satellite view with boundary and contours, from 5m elevation data
5m
Satellite view with boundary and contours, from 1m elevation data
1m

Even the satellite plate differs, though the imagery is identical in all three: the contours drawn over it come from the elevation model, and so does the frame.


The climate read, which does not move at all

The climate numbers are identical in all three runs. Nothing in them touches the elevation model.

Ten years of reanalysis, resolved to the parcel.

Climate · identical at 30 m, 5 m and 1 m
MeasureValueWhat it means
Annual rainfall1,062 mmWettest in March at 195 mm
Frost-free days365No winter dormancy
Growing degree days3,699Subtropical perennials, citrus, macadamia
Warmest / coolest month24.6 / 13.7 °CAn arc of under 11 °C
Solar3.0–6.6 kWh/m²/dayWinter trough in June
Evapotranspiration1,348 mmAgainst 1,062 mm of rain
Water balance−286 mmSeven consecutive deficit months from July
Prevailing windSSE, 3.9 m/sCloser to a sea breeze than a wind problem

Rainfall is generous, but evapotranspiration exceeds it by 286 mm across the year. On a property receiving 365 times its own area in drainage, the task is holding water through the dry months.

Climate summary plate, from 30m elevation data
30m
Climate summary plate, from 5m elevation data
5m
Climate summary plate, from 1m elevation data
1m

The climate plate at all three resolutions; only the terrain inset and the frame differ.


What it cannot tell you

This is terrain read from above. It says nothing about soil chemistry below the top horizon, water rights, easements, covenants, planning permission, the condition of the public road, or anything else that needs a person standing on the ground.

The soil read here is a national 90 m grid, good for texture and pH direction and not a substitute for a pit. The flood read leans on a global 1 km model because no parcel-scale flood register covers this location.

An on-site inspection is recommended before purchase or major development.


Now read your own land.

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