The most relevant Lidar_DR_LT - digital spatial laser scanning point cloud data (2019-2022)

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Dataset information

Country of origin
Updated
2026.04.07 00:00
Created
2025.11.25
Available languages
English
Keywords
remote sensing data, aukščio taškai, land cover, lidar_dr_lt, aukštis, Reljefas, land covery, pont cloud, lidar
Quality scoring

Dataset description

LIDAR data for the entire territory of the Republic of Lithuania will be collected in 2023. The LIDAR density is at least 6.5 pc ./m2. The mean square error of the horizontal adjustment of a point on solid, fixed objects shall not exceed 30 cm for RMSE and 10 cm for a vertical point. LIDAR data are levelled and classified according to LAS specification into 8 classes: • Class 0 and/or Class 1 — Created, never classified; Unclassified; • Class 2 – Ground; • Class 3 – Low Vegetation; • Class 4 – Medium Vegetation; • Class 5 – High Vegetation; • Class 6 – Building points; • Class 7 – Noise points Low Point (noise); • Class 12 – Overlap Points. Data is divided into sheets, according to LKS-94 in * .laz format. Each sheet contains a URL for downloading the corresponding data.
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32
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2019
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SLA
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