Effects of Vegetation and Wing on Assessing Coastal Dune Changes Using UAV and Total Station Surveys
Project Lead: Oreoluwa Adeniyi Osiberu
Effects of Vegetation and Wing on Assessing Coastal Dune Changes Using UAV and Total Station Surveys
Project Lead: Oreoluwa Adeniyi Osiberu
Survey profiles in MA-4 used in surveying dunes for volume estimations. Front dune section highlighted in orange box (Alayibo, 2022)
Data points were collected at every 1-meter horizontal interval on the toe of the dune and every 3-meter horizontal interval on top of the dune
PARROT ANAFI used for image capturing
A Preplanned flight plan is created in the Pix4DTM Capture App that encompass each survey area at a time.
KestrelMet 6000 weather station
Provides reliable readings as weather conditions are continuously transmitted to cloud storage with the Ambient Weather Network.
The in-situ wind data is cross checked with prevailing wind conditions obtained from NOAA monitoring station (station 8779749) located close to the study area at Brazos Santiago Pass, SPI, Texas.
MA-6 Stakes location used for control points and vegetation assessment
Carried out at all established UAV checkpoints .
1 m x 1 m quadrats sampling method.
Native vegetation are counted by plant class (monocot and dicot) within quadrats.
Overlayed MA-6 digital elevation models
The 3D model is generated using SURFER software from total station data collected from the field
Over 180 data points were used to create these models
A sequence of 3D surfaces captures a key portion of foredune and landward transgressvie dunes
MA-4 Orthhomosaic generated with PIX4DMAPPER software using drone data
400 images were used to create the Digital Surface Model (DSM) and orthomosaic
Processing time took about 24 hrs
The resulting datasets had a consistent pixel resolutions of 0.407 cm
An assessment of the orhtomosaic revealed a seamless integration of the images, resulting in accurate representation of the visual information