ST-00by HAMMER
SEE.GMMA: From orthophoto to GIS layer, with AI assistance and human review
Pilot
SEE.GMMA helps a GIS professional produce city-scale vector layers from large aerial images. The NOW module splits the image into tiles, sends only the tiles you select for AI analysis, and turns the result into vectors with a local engine. The WHEN module searches free satellite archives to find when a place changed.
ST-01
AerialDetect
ST-02 The problem
A whole city, one polygon at a time
Digitizing a city from an orthophoto by hand is slow, grinding work: roads, pavements, buildings, parks, kerbs and parking, one after another. And anyone who needs to know when a building went up or a green area disappeared ends up flipping through old photos with no method.
ST-03 NOW · current state
From aerial photo to vector layers
NOW targets urban surface layers such as roads, pavements, buildings, parks, kerbs and parking.
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Large orthophotos, in place
ECW and SID files open where they are, without copying, showing CRS, extent and resolution.
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A persistent processing grid
Tile selection with sea and blank-tile exclusion and an area of interest.
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Only the tiles you choose
Only explicitly selected tiles are sent to a Google Gemini image model, interactively or in batch, with a cost estimate up front and no paying twice for the same tile.
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Deterministic vectorization
A local engine turns the result into areas and lines, stitches seams between tiles and merges blocks.
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Export
GeoPackage or GeoJSON, in the source CRS or in ITM.
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An audit trail per tile
Every AI result keeps the model, prompt version, tile ID and raw response.
Legend
- Building (roof outline)
- Parcel
- Kerb and sidewalk
- Road centreline
- Lane marking
- Crosswalk and stop line
- Lane arrow
- Parking bay
- Traffic island
- Tree: canopy and trunk
- Street light
- Bench
- Bin
- Bus stop
- Water manhole
- Sewer manhole
- Drainage grate
- Water main
- Sewer
- Power line
- Stop
- Give way
- Pedestrian crossing (sign)
- Parking
ST-04 WHEN · when did it change
Forty years of satellite archive, answered in two dates
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Pick a cell
Draw it, load SHP, GeoJSON, GPKG or KML, or pick from the tiles.
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Search back
Up to 40 years back: Landsat from 1984 at 30 m, and Sentinel-2 from 2017 at 10 m.
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Four kinds of change
Water, vegetation, built-up or bare soil.
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Two dates
The last date the change had "not yet" happened, and the first date it had "already" happened.
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Cost and time first
An estimate before anything runs.
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Clear limits
WHEN detects changes at lot scale or larger, and a person must confirm every change.
ST-05 How it works
Seven stations from photo to layer
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ST-01
Open the orthophoto
The file stays where it is.
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ST-02
Grid and selection
Choose tiles; exclude sea and blank areas.
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ST-03
Cost estimate
See what the analysis will cost before it runs.
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ST-04
AI analysis
Only the selected tiles go to the model.
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ST-05
Vectorization
A local, deterministic engine turns the result into areas and lines.
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ST-06
Review by a GIS professional
The output is checked and edited before it becomes a layer.
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ST-07
Export
GeoPackage or GeoJSON, in the source CRS or ITM.
ST-06 Principle
AI assists. A person decides.
SEE.GMMA doesn't promise automatic mapping. NOW output is checked and edited by a GIS professional before it becomes a layer, and changes found by WHEN wait for a person to confirm them. The dedicated review tools, including snapit, a browser editor for polishing layers collaboratively, are still in development.
ST-07 What happens to your imagery
Straight answers about data
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The full image stays put
The orthophoto file opens in place and is not copied.
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Selected tiles go out for analysis
The tiles you choose, and only those, are sent to Google Gemini. Worth knowing before you select.
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Every result is logged
Model, prompt version, tile ID and raw response for every AI result.
ST-08 Who it's for
For anyone who needs layers from aerial imagery
GIS professionals
City-scale vector layers from large aerial images, with control over every tile.
Municipalities
Urban surface layers: roads, pavements, buildings, parks, kerbs and parking.
Anyone tracking land change
A documented answer to when an area became built-up, vegetated, water or bare soil.
ST-09 Integrations and formats
What SEE.GMMA works with
- ECW / MrSID Orthophoto input
- Google Gemini Image models, including the Batch API
- Landsat Archive from 1984, 30 m
- Sentinel-2 Archive from 2017, 10 m
- GeoPackage / GeoJSON Export
- SHP / KML Cell input for WHEN
- ITM Export in the Israeli grid
ST-11 Status
Pilot
SEE.GMMA is in active development and in a pilot with an Israeli municipality. A first full-city run is awaiting approval, and the human-review tools are in development. There is no public sign-up yet, and we don't publish accuracy figures until they have been measured and validated.
ST-12 FAQ
Questions and answers
What is SEE.GMMA?
SEE.GMMA is software for AI-assisted mapping from aerial imagery. The NOW module helps turn an orthophoto into vector layers that a GIS professional reviews, and the WHEN module searches free satellite archives to find when a place changed. It is in pilot.
Does SEE.GMMA map the city automatically?
No. It assists a GIS professional: AI analyses the selected tiles, a local engine turns the result into vectors, and a person checks and edits before anything becomes a layer.
Does our aerial imagery leave the organization?
The full orthophoto stays where it is and is not copied. The tiles you select for analysis, and only those, are sent to Google Gemini's image model.
What's the difference between NOW and WHEN?
NOW answers what is on the ground now: aerial photo to vector layers. WHEN answers when it changed: a search of the Landsat and Sentinel-2 archives that returns the last date before the change and the first date after it.
How fine a change can WHEN detect?
Lot scale or larger, because the satellite pixels are 10 to 30 metres. A person must confirm every change the system finds.
How accurate is SEE.GMMA?
There are no validated accuracy figures yet, so we don't publish numbers. Measuring accuracy is part of the pilot, and in the meantime every output is reviewed by a GIS professional.
Can SEE.GMMA detect building violations?
SEE.GMMA is not offered today as a building-violation tool. WHEN can show when an area became built-up, at lot scale or larger and with human confirmation. For a dedicated survey comparing aerial photos, ask us about our survey services.
Can we join the pilot?
There is no public sign-up. If you have an orthophoto and need layers, talk to us and we'll see together whether it's a fit.
ST-13
Got an orthophoto waiting to become layers?
In a demo we'll show NOW and WHEN on sample data, and see whether the pilot is a fit for you.
Legend
- Building (roof outline)
- Parcel
- Kerb and sidewalk
- Road centreline
- Lane marking
- Crosswalk and stop line
- Lane arrow
- Parking bay
- Traffic island
- Tree: canopy and trunk
- Street light
- Bench
- Bin
- Bus stop
- Water manhole
- Sewer manhole
- Drainage grate
- Water main
- Sewer
- Power line
- Stop
- Give way
- Pedestrian crossing (sign)
- Parking