Finding one or more suppliers of programming services for Developing algorithms for mapping oval depressions from LIDAR data Algorithms must identify closed and unclosed circular or oval morphological depressions with dimensions of tens to hundreds of meters with a height difference of dm to meters they must be able to process the entire territory of the Czech Republic in DMR ZABAGED 5G resolution but they must also be able to process other digital relief models based on LIDAR data in GeoTIF or point cloud formats The output of the algorithms must be a map of all depressions in the area of interest in vector or raster format SHP GeoTIF etc n nThe job is divided into two parts n1 tData preparation and machine learning-based modeling involving the acquisition of large amounts of data from test sites learning deep learning and running and testing various models the job data preparation and machine learning-based modeling n n2 tModeling based on deterministic approaches including model design implementation of related algorithms and testing of a series of models on real data the job modeling based on deterministic approaches n 71354100-5 Digital mapping Capital Prague 71354100-5 Digital mapping Digital mapping - 11074684

The HydroGENesis s r o in Czech Republic from Europe region had released this tender for Finding one or more suppliers of programming services for Developing algorithms for mapping oval depressions from LIDAR data Algorithms must identify closed and unclosed circular or oval morphological depressions with dimensions of tens to hundreds of meters with a height difference of dm to meters they must be able to process the entire territory of the Czech Republic in DMR ZABAGED 5G resolution but they must also be able to process other digital relief models based on LIDAR data in GeoTIF or point cloud formats The output of the algorithms must be a map of all depressions in the area of interest in vector or raster format SHP GeoTIF etc n nThe job is divided into two parts n1 tData preparation and machine learning-based modeling involving the acquisition of large amounts of data from test sites learning deep learning and running and testing various models the job data preparation and machine learning-based modeling n n2 tModeling based on deterministic approaches including model design implementation of related algorithms and testing of a series of models on real data the job modeling based on deterministic approaches n 71354100-5 Digital mapping Capital Prague 71354100-5 Digital mapping Digital mapping with tender notice no. N006/26/V00001600 published on 22 Jan 2026. The tender expired on 20 Feb 2026. This tender is sourced from Sri lb and is eligible for suppliers interested in Charting software development services, Mapping software development services, Data analysis services. Interested bidders can obtain further information including complete bid documents or ways to participate by registering on Tender Impulse and referencing via Tender Impulse ID 11074684.

*The deadline for this tender has passed.

Tender Notice No:

N006/26/V00001600

Tender Organisation:

HydroGENesis s r o

Tender Sector:

Tender Service:

Worldwide

Tender Region:

Tender Country:

Tender CPV:

72212324 : Charting software development services
72212326 : Mapping software development services
72316000 : Data analysis services

Tender Source:

Sri lb

Tender Document Type:

Tender Notice

Tender Description:

Finding one or more suppliers of programming services for Developing algorithms for mapping oval depressions from LIDAR data Algorithms must identify closed and unclosed circular or oval morphological depressions with dimensions of tens to hundreds of meters with a height difference of dm to meters they must be able to process the entire territory of the Czech Republic in DMR ZABAGED 5G resolution but they must also be able to process other digital relief models based on LIDAR data in GeoTIF or point cloud formats The output of the algorithms must be a map of all depressions in the area of interest in vector or raster format SHP GeoTIF etc n nThe job is divided into two parts n1 tData preparation and machine learning-based modeling involving the acquisition of large amounts of data from test sites learning deep learning and running and testing various models the job data preparation and machine learning-based modeling n n2 tModeling based on deterministic approaches including model design implementation of related algorithms and testing of a series of models on real data the job modeling based on deterministic approaches n 71354100-5 Digital mapping Capital Prague 71354100-5 Digital mapping Digital mapping

Tender Bidding Type:

Publish Date: 22 Jan 2026

Deadline Date: 20 Feb 2026

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Common Questions About This Tender

  • Who has issued this tender, and what is it for?

    The tender has been issued by HydroGENesis s r o in Czech Republic. Such a type of tender falls under Charting software development services, Mapping software development services, Data analysis services, within the IT-Software Tenders sector, and is listed on Tender Impulse under notice number N00626V00001600.

  • What are the key dates for this tender?

    The notice was published on 22 Jan 2026 and submissions close on 20 Feb 2026. Late bids are rarely accepted in public procurement, so aim to have your documents ready several days before the closing date.

  • Which CPV codes apply to this tender?

    It is classified under CPV codes 72212324, 72212326, 72316000, which correspond to Charting software development services, Mapping software development services, Data analysis services. If your company supplies these products or services, these are the codes to save in your alert profile so no matching tender passes you by.

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    Request a live demo on Tender Impulse and our tender experts will walk you through this listing, share the available documents, and explain how to submit your bid to HydroGENesis s r o. Subscribers also receive help with registration requirements and, where needed, translation of non-English notices - but the submission itself always goes from you to the buyer.

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  • Is this tender beneficial for me?

    The procurement is applicable to companies in the Charting software development services, Mapping software development services, Data analysis services and related industries. If you belong to this industry, you can review the technical documents before assessing your relevance to your company.

  • What is the Procurement trend for Finding one or more suppliers of programming services for Developing algorithms for mapping oval depressions from LIDAR data Algorithms must identify closed and unclosed circular or oval morphological depressions with dimensions of tens to hundreds of meters with a height difference of dm to meters they must be able to process the entire territory of the Czech Republic in DMR ZABAGED 5G resolution but they must also be able to process other digital relief models based on LIDAR data in GeoTIF or point cloud formats The output of the algorithms must be a map of all depressions in the area of interest in vector or raster format SHP GeoTIF etc n nThe job is divided into two parts n1 tData preparation and machine learning-based modeling involving the acquisition of large amounts of data from test sites learning deep learning and running and testing various models the job data preparation and machine learning-based modeling n n2 tModeling based on deterministic approaches including model ..?

    The public procurement trends for Finding one or more suppliers of programming services for Developing algorithms for mapping oval depressions from LIDAR data Algorithms must identify closed and unclosed circular or oval morphological depressions with dimensions of tens to hundreds of meters with a height difference of dm to meters they must be able to process the entire territory of the Czech Republic in DMR ZABAGED 5G resolution but they must also be able to process other digital relief models based on LIDAR data in GeoTIF or point cloud formats The output of the algorithms must be a map of all depressions in the area of interest in vector or raster format SHP GeoTIF etc n nThe job is divided into two parts n1 tData preparation and machine learning-based modeling involving the acquisition of large amounts of data from test sites learning deep learning and running and testing various models the job data preparation and machine learning-based modeling n n2 tModeling based on deterministic approaches including model .. can be assessed by viewing historical data and buying patterns for this product. Subscribed members can view and even download reports of tenders released in the past for their market research. This shall allow them to carefully prepare a compelling bid.

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