3D site model
Built from 856 overlapping drone photos. Orbit the yard, walk it at eye height, or fly the survey path. Labels mark every measured stockpile and machine. Click one for details.
Overview
What this survey tells the site and the business, in plain language. Each finding links to the evidence.
Insight playbook
The insights that change decisions on a recycling yard and construction site. Live modules are measured on this site from the imagery analysed so far; partial ones have first numbers; templates show the method and the one input they are waiting for.
Map
2 cm orthomosaic and surface layers. Click a stockpile or machine, measure distances and areas, or draw a cross-section through any pile.
Stockpiles
Every stockpile inside the site boundary, measured from the 3D surface against a base plane fitted to its toe. Machines standing on piles are removed from the surface first.
Volume by material
Material is classified from colour and texture in the orthomosaic and checked visually. Tonnes = volume × indicative loose bulk density (shown in the table). Calibrate with weighbridge data for payment.
Height vs face steepness
Each dot is a stockpile. Top-right: tall piles with steep faces, the highest slump risk for people and plant working the toe. Dashed line: 40°.
| Pile | Material | Volume m³ | Tonnes | Footprint m² | Height m | Face ° | To boundary m |
|---|---|---|---|---|---|---|---|
Plant on site
Every machine visible in the 2 cm orthomosaic at capture time, identified by an analyst. Status is what the machine was doing in the survey, a single snapshot.
Surfaces & risk
What the ground inside the boundary is made of, and what that means for dust, sediment, safety and space.
Surface cover
Classified per 10 cm pixel from colour, texture and height above ground. Use as an indication; "bare / disturbed" includes compacted but untreated working areas.
Risk register from this flight
Close-ups: full-resolution, raw & multispectral
The original 1.4 cm photos, the camera's 16-bit raw (DNG) files and a multispectral flight, analysed photo by photo. They show what the 10 cm site grid cannot: what the stockpiles are made of, how big the rubble blocks waiting for the crushers are, and side-on views of every face and machine.
Stockpile close-ups
Each card shows the pile at native resolution (left) and from the side (right). Highlight brick tints brick, tile and terracotta fragments red: the share is measured on the visible surface only.
Rubble feed: block sizes
What 1.4 cm shows that the 10 cm grid cannot
Plant from the side
The best oblique photo of each machine: make, attachments, guarding and what it is working on, which a top-down view hides.
Raw (DNG) vs camera JPEG
For the next flight
Multispectral: wetland baseline
Video walk-round
Stills from the oblique video flown with the survey, showing the yard in its setting: apartments on the east side and the Olympic Park stadium precinct beyond. Click to enlarge.
Data quality & method
How the data was captured and processed, and the assumptions behind every number on this page.
Capture
Checks
Bulk densities used
Loose stockpile densities, indicative only. Replace with site-calibrated values (weighbridge loads ÷ surveyed volume change) for payment-grade tonnage.
Method
Photogrammetry (WebODM/ODM) produced a 2 cm orthomosaic and surface model. We resampled to a 10 cm grid, estimated bare ground with a 24 m morphological filter, segmented raised bodies above 0.8 m, removed machines identified in the imagery and interpolated the surface beneath them, then measured each pile against a plane fitted to its toe. Volumes are typically within ±3–5% for well-defined piles; piles against walls or other piles carry more uncertainty.