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Development of an open source framework for lidar data correction in complex terrain

Authors: Hofsäß, Martin; Bischoff, Oliver; Callies, Doron; Jäger, Florian; Klaas-Witt, Tobias; Cheng, Po-Wen;

Development of an open source framework for lidar data correction in complex terrain

Abstract

Digitalization offers great opportunities for standardized measurement data processing and evaluation. This also requires standardized data formats. For lidar measurements in complex terrain, there is no open source software available. Currently there are some commercial or in-house correction methods available for the post-processing of lidar measurement data in complex terrain. However, there are currently no comparative studies regarding the uncertainty as well as the computational effort for the different methods. These open aspects are addressed in the research project “Lidar data correction for sites in complex terrain (LoTar)”. Within this research project an modularized open source framework will be developed for standardized and efficient processing and correction of wind profile lidar data in complex terrain. This framework is designed to have a modularized basic structure. As a first step, it is planned that the framework will include a module for lidar error estimation and turbulence correction. In addition, the framework will provide interfaces with which further modules for data analysis and data processing can be integrated into the framework.

This work was part of the research project "LoTar" which was funded by the German Ministry for Economic Affairs and Climate Action under the code number 03EE3052.

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Keywords

Lidar, wind, complex terrain, VAD

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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