2026-02 RFI - Topographic Data Automatic Feature Extraction (AFE)
One of 10,000+ tenders Taiyo tracks in New Zealand.
Source: New Zealand Government Electronic Tenders Service (GETS)
Toitū Te Whenua (LINZ) wants to increase the efficiency, timeliness and accuracy of its topographic data sets. This request for information (RFI) is designed to investigate the application of machine learning and/or raster analytics to our available high-quality imagery and surface data.We invite suppliers to tell us about proposed solution(s) for creating landcover products.
- Status
- Closed
- Sector
- Government
- Location
- New Zealand
- Updated
- 3 Nov 2026
- Source
- New Zealand Government Electronic Tenders Service (GETS)
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Tender Information
Participants
| Not available for this record. |
Status
Original status | closed |
Taiyo status | Closed |
Taiyo last update | 2026-11-03 |
Contact
| Not available for this record. |
Description
Description | Toitū Te Whenua (LINZ) wants to increase the efficiency, timeliness and accuracy of its topographic data sets. This request for information (RFI) is designed to investigate the application of machine learning and/or raster analytics to our available high-quality imagery and surface data.We invite suppliers to tell us about proposed solution(s) for creating landcover products. |
Location
Country | New Zealand |
Source
Source | New Zealand Government Electronic Tenders Service (GETS) |
URL |
More Details
Record type | Tender |
Sector | Government |
Article published date | 2026-04-17 |
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