Version 1
: Received: 28 June 2024 / Approved: 28 June 2024 / Online: 1 July 2024 (08:11:57 CEST)
How to cite:
Wimmer, M. H.; Mandlburger, G.; Ressl, C.; Pfeifer, N. Strip Adjustment of Multi-Temporal LiDAR Data - A Case Study at the Pielach River. Preprints2024, 2024070035. https://doi.org/10.20944/preprints202407.0035.v1
Wimmer, M. H.; Mandlburger, G.; Ressl, C.; Pfeifer, N. Strip Adjustment of Multi-Temporal LiDAR Data - A Case Study at the Pielach River. Preprints 2024, 2024070035. https://doi.org/10.20944/preprints202407.0035.v1
Wimmer, M. H.; Mandlburger, G.; Ressl, C.; Pfeifer, N. Strip Adjustment of Multi-Temporal LiDAR Data - A Case Study at the Pielach River. Preprints2024, 2024070035. https://doi.org/10.20944/preprints202407.0035.v1
APA Style
Wimmer, M. H., Mandlburger, G., Ressl, C., & Pfeifer, N. (2024). Strip Adjustment of Multi-Temporal LiDAR Data - A Case Study at the Pielach River. Preprints. https://doi.org/10.20944/preprints202407.0035.v1
Chicago/Turabian Style
Wimmer, M. H., Camillo Ressl and Norbert Pfeifer. 2024 "Strip Adjustment of Multi-Temporal LiDAR Data - A Case Study at the Pielach River" Preprints. https://doi.org/10.20944/preprints202407.0035.v1
Abstract
With LiDAR (Light Detection and Ranging) time series being used for various applications, optimal realisation of a common geodetic datum over many epochs is a highly important prerequisite with direct impact on accuracy and reliability of derived measures. In our work, we develop and define several approaches to the adjustment of multi-temporal LiDAR data in a given software framework. These approaches ranging from pragmatic to more rigorous solutions are applied to an 8 year time series with 21 individual epochs. The analysis of the respective results suggests that a sequence of bi-temporal adjustments brings the best results while being more flexible and computationally viable than the most extensive approach of using all epochs in one single multi-temporal adjustment. With a combination of sparse control patches measured in the field and one selected reference block, we obtain relative datum discrepancies in the range of 1-2 cm for the complete time series. Based on our findings, we formulate design criteria for setting up and adjusting future time series with the proposed method.
Keywords
LiDAR; strip adjustment; multi-temporal; ALS; time series; orientation
Subject
Environmental and Earth Sciences, Remote Sensing
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
