Automatic Airborne Laser Scanning Data Quality Control Procedure for Environmental Studies

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Sciendo (De Gruyter)
Airborne laser scanning (ALS) technology delivers large amount of data collected from airborne level. These data are used for many different applications in forestry, civil engineering, environmental studies and others. To acquire the best possible results from the data, accuracy analysis is a necessary part of data processing chain. Therefore, considering the increasing interest worldwide in the use of laser scanning data, improving the quality control (QC) tools is a crucial pursuit. This study underlines the possible error sources, summarises the existing QC knowledge for ALS data and proposes an optimised QC procedure. The procedure was implemented in selected applications and evaluated for three different environments, namely, forests, rural areas and croplands. The proposed solution is almost fully automatic outside from the module that supports the operator in the clas sification examination. The workflow is scalable and can be expanded with new modules that enhance the functionality. The presented procedures can save up to 30 min of manual checks for every 1 km2 area.
© 2020 Bartłomiej Kraszewski et al., published by Sciendo. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License - . The Version of Scholarly Record of this Article is published in Folia Forestalia Polonica, Series A – Forestry, 2020, Vol. 62 (4), 317–326, available online at: . Keywords: ALS; automation; accuracy; density; quality; control; Airborne laser scanning; forests; rural areas; croplands.
Kraszewski, B., Piasecka, Ż., Sadkowski,R. & Stereńczak, K. (2020). Automatic Airborne Laser Scanning Data Quality Control Procedure for Environmental Studies. Folia Forestalia Polonica, 62(4), 317-326.