This tender is from the country of Czech Republic in Europe region. The tender was published by HydroGENesis s r o on 22 Jan 2026 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. The last date to submit your bid for this tender is 20 Feb 2026. This tender is for the companies specializing in Charting software development services, Mapping software development services, Data analysis services and similar sectors.
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 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:
Tender Notice No:
Tender Document:
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