TY - GEN

T1 - Application of UAV-Based Photogrammetry Wthout Ground Control Points in Quantifying Intertidal Mudflat Morphodynamics

AU - Chen, Chunpeng

AU - Zhang, Ce

AU - Wu, Wenting

AU - Jiang, Wenhao

AU - Tian, Bo

AU - Zhou, Yunxuan

PY - 2022/9/28

Y1 - 2022/9/28

N2 - Accurate topography of intertidal mudflats of a fine resolution is fundamental data to further understand the coastal process and achieve targeted coastal management. However, the mapping of mudflat topography is hindered by poor accessibility of muddy environments and a short observation time window caused by periodic tides. Commonly as a revolutionary technique owing to its low cost, flexibility, and quality data, the unmanned aerial vehicle (UAV)-based SfM photogrammetry has been widely applied in coastal areas. The conventional UAV photogrammetric accuracy significantly depends on the number and distribution of ground control points (GCPs), limiting its mapping efficiency. With the increasingly available UAVs with onboard RTK, photogrammetry without GCPs is becoming a promising alternative. However, the ability of this advanced RTK-assisted UAV to capture centimeter-scale elevation changes in intertidal mudflats still remains unclear. For this reason, this paper aims to evaluate the potential of RTK-assisted UAVs in quantifying intertidal topographic changes. The results showed that the RTK-assisted UAV structure-from-motion (SfM) photogrammetry without GCPs could accurately capture fine-scale topographical features such as mudflat gradient and creeks with root-mean-squared errors (RMSE) of ± 3.3 cm, ± 2.8 cm, and ± 4.7 cm on X-, Y-, and vertical directions, respectively. Therefore, this study identified that RTK-assisted UAV photogrammetry could be used to quantify intertidal mudflat morphodynamics and calculate sediment deposition volume within the uncertainty in a more cost-effective way.

AB - Accurate topography of intertidal mudflats of a fine resolution is fundamental data to further understand the coastal process and achieve targeted coastal management. However, the mapping of mudflat topography is hindered by poor accessibility of muddy environments and a short observation time window caused by periodic tides. Commonly as a revolutionary technique owing to its low cost, flexibility, and quality data, the unmanned aerial vehicle (UAV)-based SfM photogrammetry has been widely applied in coastal areas. The conventional UAV photogrammetric accuracy significantly depends on the number and distribution of ground control points (GCPs), limiting its mapping efficiency. With the increasingly available UAVs with onboard RTK, photogrammetry without GCPs is becoming a promising alternative. However, the ability of this advanced RTK-assisted UAV to capture centimeter-scale elevation changes in intertidal mudflats still remains unclear. For this reason, this paper aims to evaluate the potential of RTK-assisted UAVs in quantifying intertidal topographic changes. The results showed that the RTK-assisted UAV structure-from-motion (SfM) photogrammetry without GCPs could accurately capture fine-scale topographical features such as mudflat gradient and creeks with root-mean-squared errors (RMSE) of ± 3.3 cm, ± 2.8 cm, and ± 4.7 cm on X-, Y-, and vertical directions, respectively. Therefore, this study identified that RTK-assisted UAV photogrammetry could be used to quantify intertidal mudflat morphodynamics and calculate sediment deposition volume within the uncertainty in a more cost-effective way.

U2 - 10.1109/igarss46834.2022.9884346

DO - 10.1109/igarss46834.2022.9884346

M3 - Conference contribution/Paper

SN - 9781665427937

T3 - IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium

SP - 7767

EP - 7770

BT - IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium

PB - IEEE

ER -