Development of Algorithms Mapping Oval Depressions Tender

• Country: Czech Republic
• Summary: Development of Algorithms Mapping Oval Depressions from Lidar Data
• CZT Ref No: 134132704
• Deadline: 31 Jan 2026
• Financier: Self Financed
• Purchaser Ownership: Government
• Tender Value: Refer Document
• Notice Type: Tender
• Document Ref. No.: N006/26/V00001600
• Purchaser's Detail:
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• Description:
• 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) ) 2. 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)
• Documents:

 Tender Notice

134132704.pdf