Using Uav to Detect Shoreline Changes: Case Study – Pohranov Pond, Czech Republic

Čermáková, Ivana; Komárková, J.; Sedlák, P.

doi:10.5194/isprsarchives-xli-b1-803-2016

Cited by 6 publications

(1 citation statement)

References 10 publications

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“…The route mean square error (RMSE) was found to be in the range of 0.009 m to 0.022 m after rectifying the GCP, which indicated that the images were geometrically well-matched. Several researchers had successfully detected shoreline changes with RMSE in the range of 0.012 m [16] to 0.023 m [17]. The images captured by the UAV were processed using Pix4D and Global Mapper software.…”

Section: Data Acquisition Processmentioning

confidence: 99%

Evaluation Coastal Volume Changes with UAV Photogrammetry: An Example in West Coast Malaysia

Mardiha Mokhtar,

Mohd Effendi Daud,

Masiri Kaamin

et al. 2023

ARASET

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Variations of beach volume changes have been put into place at the coastline to measure the changes in volume and analyse beach response using geometric and volumetric comparison of beach profile sets. This study examined the volume change of a beach in an eroded location in Batu Pahat. As Pantai Punggur was identified as an eroding area, it was chosen as the research area where identifying changes to the beach's volume is necessary to evaluate changes to the condition of the beach. There is a rather strong demand for both technologies and research methods since technology tends to advance quickly. Therefore, in order to satisfy demand, the process of identifying the volumetric of the shoreline area was carried out using an unmanned aerial vehicle with the assistance of Pix4D Mapper and Global Mapper as a medium to study the changes in beach volume. Pix4D Mapper was used to process the beach volume changes and to analyze the aerial image, while the Global Mapper software conducted an analysis of beach volume changes. This study demonstrates that there is a noticeable shift in the volume of the beach within a month. Overall, the data provided demonstrates that Zones A and E are more vulnerable to erosion than the other zones.

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Section: Data Acquisition Processmentioning

confidence: 99%