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Quantifying Airborne Lidar Bathymetry Quality-Control Measures: A Case Study in Frio River, Texas
Kutalmis Saylam1,2, John R Hupp3, John R Andrews4
1Near Surface Observatory, Bureau of Economic Geology, John A. and Katherine G. Jackson School of Geosciences, The University of Texas at Austin, Austin, TX 78758, USA. kutalmis.saylam@beg.utexas.edu.
Sensors (Basel, Switzerland)
|November 30, 2018
Summary
Airborne Lidar Bathymetry (ALB) effectively maps shallow water depths. Quality control is crucial for accurate river surveys, as demonstrated by a Frio River study.
Area of Science:
- Geomatics and Hydrography
- Remote Sensing Technology
- Water Resource Management
Background:
- Airborne Lidar Bathymetry (ALB) has advanced significantly due to affordable hardware and software.
- Its application in mapping shallow inland and coastal water bodies is increasingly popular.
- Accurate digital elevation models (DEMs) require rigorous quality control (QC).
Purpose of the Study:
- To detail the QC measures applied during and after an ALB survey.
- To analyze the quality of ALB data for riverine environments.
- To provide recommendations for successful ALB deployments in similar settings.
Main Methods:
- Conducting an ALB survey of the Frio River, Texas.
- Implementing comprehensive quality control protocols during the mission.
- Performing supplemental surveys and data analysis for validation.
Main Results:
- Detailed findings from the Frio River ALB survey's QC measures are presented.
- The study quantifies the quality of the resulting bathymetric data.
- Challenges specific to river surveys using ALB are identified.
Conclusions:
- Successful ALB deployments require careful planning and execution.
- Rigorous QC is essential for reliable bathymetric data, especially in rivers.
- The study offers practical suggestions for optimizing ALB surveys in similar environments.
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