Correcting LiDAR-derived Digital Elevation Model in the Coastal Everglades Using RTK GPS Data and Random Forest Modeling
Cooper HM and Zhang C. Correcting LiDAR-derived Digital Elevation Model in the Coastal Everglades Using RTK GPS Data and Random Forest Modeling. Research Permit and Reporting System
The Florida Everglades’ hydrologic community agreed upon the need for elevation data with a vertical error ≤15 cm to support restoration efforts. Wetland habitats such as those unique to the coastal Everglades pose a challenge for remote sensing technologies such as Light Detection and Ranging (LiDAR) to meet this requirement. For this study, a framework was designed to integrate LiDAR with Real Time Kinematic (RTK) Global Positioning Systems (GPS) for predicting elevation. Fieldwork was conduc
- Type
- Unpublished Report
- Authors
- Cooper, Hannah; Zhang, Caiyun
- Publisher
- Research Permit and Reporting System
- Units
- EVER