Energy-Saving Geospatial Data Storage—LiDAR Point Cloud Compression DOI Creative Commons
Artur Warchoł,

Karolina Pęzioł,

Marek Baścik

et al.

Energies, Journal Year: 2024, Volume and Issue: 17(24), P. 6413 - 6413

Published: Dec. 20, 2024

In recent years, the growth of digital data has been unimaginable. This also applies to geospatial data. One largest types is LiDAR point clouds. Their large volumes on disk, both at acquisition and processing stages, in final versions translate into a high demand for disk space therefore electricity. It obvious that order reduce energy consumption, lower carbon footprint activity sensitize sustainability digitization industry, lossless compression aforementioned datasets good solution. this article, new format clouds—3DL—is presented, effectiveness which compared with 21 available formats can contain A total 404 processes were carried out validate 3DL file format. The validation was based four clouds stored LAS files: two files derived from ALS (airborne laser scanning), one local coordinate system other PL-2000; obtained by TLS (terrestrial same georeferencing (local national PL-2000). During research, each saved 101 different ways 22 formats, results then several (according system, data, within single time processing). validated solution (3DL) achieved CR (compression rate) around 32% 42% while best solutions reached 15% 34% TLS. On hand, worst method compressed up 424.92% (ALS_PL2000). significant reduction size contributes consumption during storage clouds, their transmission over internet and/or copy/transfer. For all solutions, rankings developed according CT time) parameters.

Language: Английский

Property valuation principles – How policy changes can be detrimental to urban development DOI
Aneta Chmielewska, Marek Walacik,

Richard Grover

et al.

Land Use Policy, Journal Year: 2025, Volume and Issue: 150, P. 107474 - 107474

Published: Jan. 16, 2025

Language: Английский

Citations

0
Energy-Saving Geospatial Data Storage—LiDAR Point Cloud Compression DOI Creative Commons
Artur Warchoł,

Karolina Pęzioł,

Marek Baścik

et al.

Energies, Journal Year: 2024, Volume and Issue: 17(24), P. 6413 - 6413

Published: Dec. 20, 2024

In recent years, the growth of digital data has been unimaginable. This also applies to geospatial data. One largest types is LiDAR point clouds. Their large volumes on disk, both at acquisition and processing stages, in final versions translate into a high demand for disk space therefore electricity. It obvious that order reduce energy consumption, lower carbon footprint activity sensitize sustainability digitization industry, lossless compression aforementioned datasets good solution. this article, new format clouds—3DL—is presented, effectiveness which compared with 21 available formats can contain A total 404 processes were carried out validate 3DL file format. The validation was based four clouds stored LAS files: two files derived from ALS (airborne laser scanning), one local coordinate system other PL-2000; obtained by TLS (terrestrial same georeferencing (local national PL-2000). During research, each saved 101 different ways 22 formats, results then several (according system, data, within single time processing). validated solution (3DL) achieved CR (compression rate) around 32% 42% while best solutions reached 15% 34% TLS. On hand, worst method compressed up 424.92% (ALS_PL2000). significant reduction size contributes consumption during storage clouds, their transmission over internet and/or copy/transfer. For all solutions, rankings developed according CT time) parameters.

Language: Английский

Citations

2