Procurement Summary
Country: Czech Republic
Summary: Development of Oval Depression Mapping Algorithms from Lidar Data
Deadline: 28 Dec 2025
Other Information
Notice Type: Tender
TOT Ref.No.: 132358348
Document Ref. No.: N006/25/V00042337
Financier: Self Financed
Purchaser Ownership: Public
Tender Value: Refer Document
Purchaser's Detail
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Login to see detailsTender Details
Found one or more suppliers of programming services for the Development of an Algorithm for Mapping Depression Waves from LIDAR Data. Algorithms must identify closed and unclosed circular and wave morphological depressions with dimensions of a plate and hundreds of meters with an age difference of meters and meters, he must be able to process the entire country R in DMR ZABAGED 5G resolution, but must also be able to process other digital relief models based on LIDAR data in GeoTIF or cloud point formats. The input of the algorithm must be a map of all depressions in the target land in vector and raster format (SHP, GeoTIF etc.). The order is divided into two parts: 1. Data preparation and model based on machine learning, including the acquisition of a large amount of data from test sites, research, deep learning, and various models (order data preparation and model based on machine learning) ) 1. Model house based on deterministic approaches including model design, implementation of related algorithms and model test series on real data (order model based on deterministic approaches)
Current status of ZP: Not completed Division into parts: No ZP identifier on the contracting authority's profile: P25V00042337 Type of entry procedure: Open call Procurement specifications: open call Kind of: Public contract for services Date of publication of ZP on the profile: 12/18/2025 09:57 AM Code from the CPV code: 71354100 Title from the CPV Code: Digital Mapping Subject title: Digital mapping Text field for the description of the place of fulfillment: Code from the NIPEZ code: 71354100-5 Name from the NIPEZ code: Digital mapping Main place of fulfillment: Digital mapping
Documents
Tender Notice
132358348.pdf