This tender has closed Bids were accepted until 26 Oct 2026 (17 days ago). New bids can no longer be submitted. The details below are kept for reference.

Expired Tender Hungary ICB TOT Ref. 149742894

Digital Tree Sensor Based on Lidar Technology Tender - 149742894

Tender notice from Hungary, published on 24 Sep 2026.

Exeutive Summary

The MUNICIPALITY OF GYŐR COUNTY CITY has issued a Tender notice for the procurement of a Digital Tree Sensor Based on Lidar Technology in the Hungary. This Tender notice was published on 24 Sep 2026 and is scheduled to close on 26 Oct 2026, with an estimated Tender value of Refer Document. Interested bidders can access detailed Tender information, eligibility criteria, and complete bidding documents by referencing TOT Ref No. 149742894, while the tender notice number is 658636-2026 and Register on the platform.

Key facts

Summary
Digital Tree Sensor Based on Lidar Technology
TOT Ref. No.
149742894
Document Ref. No.
658636-2026
Country
Hungary
Notice type
Tender
Competition
ICB
Publication date
24 Sep 2026
Bid deadline
26 Oct 2026
EMD
Refer Document
Tender value
Refer Document
Purchaser ownership
Public
Procurement Type
Services
Financier
Self Financed

CPV classification

71354300Cadastral surveying services

Purchaser details

Purchaser contact is for registered users

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Tender details

Dogotal tree sensor based on LIDAR technology
The subject of the purchase is a digital tree sensor (green surface cadastre) based on LIDAR technology preparation, which is suitable for measuring, analyzing and mapping the effects of climate change at the individual tree level. The wood probe: • laser scanning (MLS and/or ALS) survey, • LIDAR point cloud and panoramic images, • and 2D and 3D GIS visualization.
Functional requirements for the digital wood probe The system must be capable of displaying and analyzing the following data content for each individual tree: • Investigation of microclimatic effects: o micro-scale pattern of shading, o canopy coverage, o estimation of foliage mass. • i-Tree Eco model data content: o crown missing in percentage form (percent crown missing). • Branch structure model: o for accurate analysis of the static and safety status of trees. Territorial scope of the survey The individual-based tree-taster database must: • contain trees in public areas, • with trees located in parks and as street trees, • with precise geolocation, • based on the priority list agreed with the Customer (Downtown, main transport routes, priority public parks) There are roughly 68, 000-70, 000 trees in the public areas of the city of Győr (including the area of ​​parks and street trees), and there are another 1, 500-1, 600 trees in the cemeteries maintained by the municipality and in the network of municipal institutions. The first stage of the survey is the City of Győr County ...
Document Type: Contract Notice

Reference Number: EKR000832012026

Contract Type: services

Authority Type: la

Doc Title: Digital tree sensor based on LIDAR technology

Dispatch Date: 2026-09-22

Publish Date: 2026-09-24

Submission Date: 2026-10-26

Documents

Tender Notice
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Corresponding contract award notice

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Frequently asked questions

The bid deadline for Digital Tree Sensor Based on Lidar Technology was 26 Oct 2026. Bidding is closed.

This tender has been issued by MUNICIPALITY OF GYŐR COUNTY CITY in Hungary.

The tender value is not disclosed; please refer to the tender document. EMD / bid security details are provided in the tender document.

This tender is Self Financed

This is a Services procurement tender issued as a public sector opportunity in Hungary.

The tender is classified under the following CPV code(s): 71354300 - Cadastral surveying services.

The tender notice and related documents are listed in the Documents section above. Select a document to view or download it. Please log in or register to access the documents. If you cannot find additional documents in the Documents section, please log in to your account and Send Document Request from your account section.

The TendersOnTime reference is 149742894. The purchaser document reference is 658636-2026.

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