Environment by mesh block — greenery, noise, solar within 1 km (by gnaf_id)
/v1/properties/{gnaf_id}/mesh-blocks/environment20¢ per callIs it green and quiet? For every mesh block around the property: greenness and vegetation cover from satellite and how it has changed, a noise score, and solar panels on listings and small-scale installations.
One entry per mesh block within 1,000 m of the property under mesh_blocks, nearest first, each with its mb_code, distance_m, population and dwellings. Blocks across suburb lines are included. Values only — the polygons come from /properties/{gnaf_id}/context/mesh-blocks.
Every field carries provenance — measured (at this block), measured_wider_area (measured for the SA1 or postcode and repeated on every block in it), estimate (our model) or not_recorded (not labelled yet) — plus how, one sentence on how the number was arrived at (empty when not_recorded).
Authorization
Request
The only values you send. Fields under Responses below are what comes back — you never pass those.
Path parameters
gnaf_idstringrequiredQuery parameters
Responses
Successful Response
gnaf_idstringalways returnedThe property, as given.
suburbstringmay be nullThe property's suburb (SAL). Blocks across suburb lines are included.
statestringmay be nullState / Territory abbreviation of the property.
radius_mintegeralways returnedRadius around the property, in metres (1,000).
topicstringalways returnedWhich topic this answers.
questionstringalways returnedThe question this topic answers.
betabooleanalways returned`true` when the figures behind this topic have not been validated against an independent source yet.
beta_noticestringmay be nullWhat is unvalidated, on beta topics only.
block_countintegeralways returnedHow many mesh blocks are in `mesh_blocks`.
mesh_blocksarray of PropertyMbTopicBlockalways returnedOne entry per mesh block within `radius_m`, nearest first.
notestringalways returnedHow to read `provenance`.
About this data
What this is
How green and quiet the blocks around one address are: for each mesh block within 1 km, vegetation and green cover from satellite and how it has changed, a noise score, and solar on listings and small-scale installations.
What people use it for
- Buyers and renters: compare leafy, quiet blocks with busier ones nearby.
- Councils and planners: track green cover around a site.
- Solar and energy businesses: gauge solar take-up street by street.
Coverage
Mesh blocks nationwide (about 368,000). The 1 km radius crosses suburb lines. A field is null where we hold nothing for that block.
Tips
noise_score is a relative index (higher is noisier), not decibels, and is not capped at 10. For a map of noise across a suburb use /v1/suburbs/{suburb_name}/shapes/noise-heatmap. Check provenance before quoting a field. Whole suburb: /v1/suburbs/{suburb_name}/mesh-blocks/environment. Polygons: /v1/properties/{gnaf_id}/context/mesh-blocks, joined on mb_code.
/v1/properties/{gnaf_id}/mesh-blocks/environmentcurl --request GET \
--url 'https://api.microburbs.com.au/v1/properties/GANSW704074813/mesh-blocks/environment' \
--header 'Authorization: Bearer test'{
"data": {
"gnaf_id": "GANSW704074813",
"suburb": "Belmont North",
"state": "NSW",
"radius_m": 1000,
"topic": "environment",
"question": "Is it green and quiet?",
"beta": false,
"block_count": 102,
"mesh_blocks": [
{
"mb_code": "10434270000",
"population": 124,
"dwellings": 46,
"fields": {
"vegetation_index": {
"value": 0.5,
"unit": "index -1 to 1",
"label": "Greenness from satellite (NDVI, 2023)",
"provenance": "not_recorded",
"how": ""
},
"green_cover_pct": {
"value": 47.72,
"unit": "% of ground",
"label": "Ground covered by green vegetation",
"provenance": "not_recorded",
"how": ""
},
"vegetation_change": {
"value": 0.03,
"unit": "index change",
"measured_at": "mesh_block",
"label": "Change in greenness from satellite, 2019 to 2023",
"provenance": "measured",
"how": "measured at this level"
},
"noise_score": {
"value": 21.52,
"unit": "index (higher = noisier; not capped at 10)",
"label": "Noise score (higher = noisier)",
"provenance": "estimate",
"how": "our estimate for this Microburb"
},
"listed_with_solar_pct": {
"value": 0,
"unit": "% of listings",
"measured_at": "mesh_block",
"label": "Listings with solar panels",
"provenance": "measured",
"how": "measured at this level"
},
"solar_installs_per_1k": {
"value": 312.43,
"unit": "per 1,000 dwellings",
"label": "Small-scale solar installations",
"provenance": "estimate",
"how": "our estimate for this Microburb"
}
},
"distance_m": 0
},
{
"mb_code": "10434330000",
"population": 89,
"dwellings": 32,
"fields": {
"vegetation_index": {
"value": 0.43,
"unit": "index -1 to 1",
"label": "Greenness from satellite (NDVI, 2023)",
"provenance": "not_recorded",
"how": ""
},
"green_cover_pct": {
"value": 40.52,
"unit": "% of ground",
"label": "Ground covered by green vegetation",
"provenance": "not_recorded",
"how": ""
},
"vegetation_change": {
"value": 0.04,
"unit": "index change",
"measured_at": "mesh_block",
"label": "Change in greenness from satellite, 2019 to 2023",
"provenance": "measured",
"how": "measured at this level"
},
"noise_score": {
"value": 22.15,
"unit": "index (higher = noisier; not capped at 10)",
"label": "Noise score (higher = noisier)",
"provenance": "estimate",
"how": "our estimate for this Microburb"
},
"listed_with_solar_pct": {
"value": 20,
"unit": "% of listings",
"measured_at": "mesh_block",
"label": "Listings with solar panels",
"provenance": "measured",
"how": "measured at this level"
},
"solar_installs_per_1k": {
"value": 299.85,
"unit": "per 1,000 dwellings",
"label": "Small-scale solar installations",
"provenance": "estimate",
"how": "our estimate for this Microburb"
}
},
"distance_m": 15
},
{
"mb_code": "10434440000",
"population": 99,
"dwellings": 34,
"fields": {
"vegetation_index": {
"value": 0.56,
"unit": "index -1 to 1",
"label": "Greenness from satellite (NDVI, 2023)",
"provenance": "not_recorded",
"how": ""
},
"green_cover_pct": {
"value": 52.24,
"unit": "% of ground",
"label": "Ground covered by green vegetation",
"provenance": "not_recorded",
"how": ""
},
"vegetation_change": {
"value": 0.02,
"unit": "index change",
"measured_at": "mesh_block",
"label": "Change in greenness from satellite, 2019 to 2023",
"provenance": "measured",
"how": "measured at this level"
},
"noise_score": {
"value": 26.65,
"unit": "index (higher = noisier; not capped at 10)",
"label": "Noise score (higher = noisier)",
"provenance": "estimate",
"how": "our estimate for this Microburb"
},
"listed_with_solar_pct": {
"value": 16.67,
"unit": "% of listings",
"measured_at": "mesh_block",
"label": "Listings with solar panels",
"provenance": "measured",
"how": "measured at this level"
},
"solar_installs_per_1k": {
"value": 308.75,
"unit": "per 1,000 dwellings",
"label": "Small-scale solar installations",
"provenance": "estimate",
"how": "our estimate for this Microburb"
}
},
"distance_m": 56
}
],
"note": "Each field says how its number was arrived at. An estimate is not a measurement, and a figure measured for a wider area is not a measurement of the block."
}
}