Impact of UAV Photogrammetric Flight and Processing Parameters on Terrain Modelling Accuracy in Ageing Deciduous and Mixed Forests: A SHAP-Based Analysis

Szász, Botond és Brolly, Gábor és Király, Géza (2026) Impact of UAV Photogrammetric Flight and Processing Parameters on Terrain Modelling Accuracy in Ageing Deciduous and Mixed Forests: A SHAP-Based Analysis. GEOMATICS, 6 (1). ISSN 2673-7418

[thumbnail of geomatics-06-00017-v3.pdf] Szöveg
geomatics-06-00017-v3.pdf

Download (7MB)
Hivatalos webcím (URL): https://doi.org/10.3390/geomatics6010017

Absztrakt (kivonat)

In this study, we investigated the effects of flight and processing parameters on the accuracy of UAV-based photogrammetric digital terrain models (DTM) generated from RGB imagery in ageing deciduous and mixed forest stands. Four 100 × 100 m sample plots were selected, for which the reference terrain surface was established using terrestrial laser scanning. Photogrammetric DTMs derived from various parameter combinations were compared against this reference, analysing the magnitude of deviations and the influence of individual parameters through SHAP (SHapley Additive exPlanations) analysis. Based on the identified effects, we provide recommendations for optimal workflows and parameter settings. The processing chain also incorporates a targeted raster-level smoothing procedure developed by the authors, which effectively removes DTM errors caused by point cloud noise left by filtering algorithms, thereby reducing extreme deviations from the reference surface. The results show that the absolute mean elevation error is primarily influenced by flight parameters and ground point classification scale (parameter of the lasground algorithm). Optimal flight parameters were determined at a flight altitude of 100 m, with 80% front and 90% side overlap. Furthermore, a ground classification scale of 9 m proved optimal in forested environments. The proposed targeted smoothing significantly reduced extreme errors, yielding DTMs with a mean error of approximately 6 cm and maximum deviations of about 40 cm. These accuracies demonstrate that UAV-based photogrammetry, when carefully parameterised, provides a reliable basis for surface model normalization and subsequent forest structural analyses.

Tudományterület / tudományág

műszaki tudományok
műszaki tudományok > agrárműszaki tudományok

Kar

Nem releváns

Intézmény

Soproni Egyetem

Mű tipusa: Cikk
SWORD Depositor: Teszt Sword
Felhasználó: Csaba Horváth
A mű MTMT azonosítója: MTMT:37006841
Dátum: 13 Már 2026 08:11
Utolsó módosítás: 13 Már 2026 08:11
URI: http://publicatio.uni-sopron.hu/id/eprint/3948

Actions (login required)

Tétel nézet Tétel nézet

Letöltések

Letöltések havi bontásban az elmúlt egy évben